# SBL Success Stories

Published campaign case studies from https://sbl.so/case-study/
This feed contains only published, password-free stories. Results are campaign-specific claims from the linked original articles, not guaranteed outcomes. Drafts and proposed stories are excluded.

## 188 replies. 37 calls booked. The five-campaign creator playbook
URL: https://sbl.so/case-study/cold-outreach-case-study-how-we-helped-a-creator-on-topmate-generate-13098-in-pipeline-and-drive-hundreds-of-high-intent-registrations-via-cold-outreach/
Industry: Education & Training
Channel: Multichannel

Five campaigns across LinkedIn and WhatsApp for a tech/DevOps educator.

Reported results:
- 37 Calls booked
- 188 Replies
- 4,601+ Reported reachouts

Adapt this approach:
1. Lead with a concrete learning outcome, such as practical projects, rather than generic course features.
2. Use context-aware reminders and direct access links for people who already engaged.
3. Give each follow-up a fresh reason to respond, then move interested conversations toward a call.

Reading the numbers: The source also reports $13,098 in pipeline and 59 likely conversions. Those are not confirmed revenue or 59 completed sales. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: TopmateCreator Type: Tech / DevOps EducatorCampaigns Run: 5 outbound campaigns across LinkedIn and WhatsApp





The Problem





One of the creators on Topmate was running a DevOps and Cloud projects program aimed at IT professionals and beginners who wanted to break into the tech industry. The program itself was solid, focused on practical, real-world project experience rather than surface-level certificates. However, the creator faced a fundamental challenge: distribution.





There was no predictable way to reach interested students at scale. Organic content worked sporadically and depended heavily on algorithms and timing. Paid ads were expensive, inconsistent, and difficult to sustain over time. Webinar registrations fluctuated from launch to launch and were often driven more by luck than by a structured system. What the creator needed was not better content or a better offer, but a reliable outbound mechanism that could consistently start conversations with the right students and guide them toward webinar and program sign-ups without sounding spammy or overly sales-driven.





Our Approach (What We Actually Did)





Instead of running a single, one-off campaign, we treated this engagement as a controlled outbound experiment. We designed a multi-phase strategy spread across five separate campaigns, each with a distinct purpose and messaging angle. The objective was not just to “get replies,” but to understand how students respond at different stages of awareness and intent, and to progressively refine the messaging based on real engagement data.





Phase 1: Foundation - Simple, Clear Value Messaging





We began with a foundation phase focused on clarity and simplicity. At this stage, the goal was to validate demand and establish baseline response rates without relying on heavy psychology or personalization. The messaging clearly explained what the program was, who it was designed for, and what outcomes students could realistically expect, with a strong emphasis on real DevOps projects and practical learning. The call to action was intentionally soft, inviting conversation rather than pushing an immediate signup.





This phase helped us answer two critical questions early on: whether students would reply at all, and whether the offer resonated in a cold outreach environment. The response was strong, with high reply volume and meaningful early conversations. This gave us confidence that the core offer had real pull and that outbound was a viable growth channel.





Phase 2: Student-Trigger Messaging (Psychology Shift)





Once we had baseline data, we shifted the messaging strategy completely. In this phase, we leaned into student psychology rather than program features. The messaging began addressing common student fears and frustrations, such as uncertainty around which skills actually matter, anxiety about falling behind peers, and dissatisfaction with generic certificates that don’t translate into real opportunities.





The tone became shorter, more conversational, and more emotional. Instead of sounding like a course pitch, the messaging framed the program as something people “like them” were already using to get ahead. We deliberately avoided buzzwords and hype, choosing to speak in the same language students naturally use. This shift didn’t just increase replies; it significantly improved the quality of conversations, with students engaging more deeply and asking more intent-driven questions.





Phase 3: Personalization at Scale





In the next phase, we layered in light personalization while maintaining scale. By this point, we had identified students who had already shown interest through LinkedIn engagement, comments, or prior interactions. Instead of treating them as cold prospects, we reframed the outreach as a reminder rather than a pitch.





This is where WhatsApp link-sharing campaigns became especially effective. Our key insight was that students who had already engaged didn’t need further persuasion. They needed clarity, speed, and low friction. By using reminder-style messaging and providing direct WhatsApp or access links, we reduced resistance and made it easy for them to take the next step without overthinking.





Phase 4: Follow-Ups as a Strategy (Not an Afterthought)





A major differentiator in this campaign was how follow-ups were handled. Most outbound campaigns fail because follow-ups are weak, repetitive, or robotic. Here, follow-ups were treated as a core strategic lever. Every follow-up was pre-planned, human in tone, and context-aware.





Instead of using generic lines like “just following up,” each follow-up introduced a new angle, a new reason to respond, or subtle social proof. In some cases, we used deadline-based nudges without resorting to fake urgency. This approach alone recovered a large percentage of replies that would typically be lost in standard outbound flows.





Results (Across All 5 Campaigns)





Across all five campaigns, the outbound system generated more than 4,601 reachouts and resulted in 188 replies. From these conversations, 37 calls were booked and 59 likely conversions were identified. The total pipeline generated from these efforts amounted to $13,098, with an offer price of $222.





Beyond direct revenue, the campaigns also redirected hundreds of students to WhatsApp, created a significant spike in webinar attendance, and resulted in a reusable outbound framework that could be applied to future launches and creators on the platform.





Why This Worked





The success of this campaign came from allowing messaging to evolve based on real data rather than assumptions. We spoke in the language students naturally use instead of relying on traditional marketing copy. Volume was balanced with relevance, ensuring outreach never crossed into spam. Follow-ups were treated as a strategic asset rather than an afterthought, and each campaign built on the learnings of the previous one instead of starting from scratch.





How We Did It (The Real System)





At its core, the system was built on clear ICP definition, a multi-phase campaign structure, continuous message testing, and progressive personalization. Strong reminder-based WhatsApp flows reduced friction, while aggressive but human follow-ups ensured conversations didn’t die prematurely. Continuous optimization across campaigns allowed performance to compound over time.





Final Takeaway





This case study wasn’t about a single viral message or a lucky campaign. It was about building a repeatable outbound engine that consistently starts conversations, warms up students, and drives sign-ups in a predictable way, all without relying on paid ads.

---

## 820 connection acceptances and 403 replies from senior-engineer outreach
URL: https://sbl.so/case-study/linkedin-cold-outreach-case-study-how-we-drove-hundreds-of-high-intent-responses-from-mid-to-senior-engineers-for-a-topmate-creator-using-cold-outreach/
Industry: Recruitment & Careers
Channel: LinkedIn

Reported across multiple LinkedIn campaign cycles aimed at mid-to-senior engineers and engineering managers.

Reported results:
- 403 Net replies
- 820 Connection acceptances
- 1,897 Connection requests sent

Adapt this approach:
1. Target the specific engineering roles and career stage the offer is meant for.
2. State the purpose clearly and use one relevant next-step request.
3. Refine the message using reply quality before scaling the same approach.

Reading the numbers: The source does not quantify positive replies, booked meetings or qualified contact shares; those counts are not inferred. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: TopmateCreator Type: Career & Hiring Advisor for Mid-to-Senior Software EngineersTarget Audience: Senior Software Engineers & Engineering ManagersCampaigns Run: 5 outbound campaigns (LinkedIn-driven, CTA-focused)





The Problem





One of the creators on Topmate was working closely with mid-to-senior software engineers and engineering managers. Unlike student-focused audiences, this segment is far more selective, time-constrained, and resistant to generic outreach. The creator’s objective was not to sell immediately, but to collect qualified mobile numbers and drive high-intent engagement from professionals who were genuinely open to career conversations, hiring insights, and future advisory sessions.





Traditional inbound methods were slow and inconsistent. Organic reach was limited, and senior professionals rarely respond to broad, mass-market messaging. The creator needed a system that could reliably surface serious professionals and move them toward a clear call-to-action without damaging trust or credibility.





Our Approach (What We Actually Did)





For this creator, the strategy was intentionally kept simple at the start. Instead of over-engineering the messaging, we began with a clean, direct outreach approach designed to test one thing first: will senior professionals respond if the value is clear and respectful of their time?





The campaigns were structured around a clear CTA, qualified mobile number collection, rather than selling or pitching. Each outreach cycle was treated as a signal-gathering exercise, allowing us to observe how this specific audience reacted before making changes.





Phase 1: Simple Strategy, Clear CTA (Early Validation)





In the initial campaigns, we used straightforward messaging that clearly stated the purpose of the outreach and who it was relevant for. There was no hype, no urgency, and no aggressive positioning. The tone was professional, concise, and aligned with how senior engineers expect to be approached.





This approach worked immediately. Even in the early stages, the campaigns began generating consistent replies and mobile number shares. This early success confirmed two things: the targeting was accurate, and the CTA was aligned with the audience’s expectations.





Phase 2: Light Messaging Optimization for Better Alignment





After seeing strong early traction, we made slight refinements to the messaging rather than drastic changes. The updates focused on better aligning the language with the professional context of mid-to-senior engineers, subtly emphasizing relevance and intent without increasing message length or complexity.





Because the foundational strategy was already working, these adjustments amplified results instead of resetting them. Reply quality improved, engagement became more consistent, and professionals were more willing to continue the conversation beyond the first response.





Phase 3: Scaling While Maintaining Trust





As performance stabilized, the campaigns were scaled carefully while staying within LinkedIn’s safety limits. Outreach was paused and resumed strategically to protect account health, ensuring long-term sustainability. Despite these pauses, reply momentum remained strong, indicating that engagement was driven by message relevance rather than short-term bursts.





Throughout this phase, the focus remained on quality over volume, ensuring that every response represented a genuine professional interaction rather than surface-level interest.





Results (Across All Shalini Campaigns)





Across multiple campaign cycles, Shalini’s outreach delivered consistently strong engagement from a senior technical audience.





By the later stages of the campaigns, Shalini’s results included 1,897 connection requests sent, with 820 acceptances and 403 net replies from mid-to-senior software engineers and engineering managers. Earlier campaign snapshots already showed strong momentum, with reply counts steadily climbing as outreach scaled and messaging was refined.





These replies translated into a steady flow of qualified mobile number shares and follow-up-ready leads, creating a clean, high-intent contact base tailored specifically for senior technical professionals. The campaigns demonstrated healthy acceptance rates, strong reply efficiency, and consistent traction, a clear signal that both targeting and messaging were well aligned with the audience.





Most importantly, these results were achieved without pushing sales or aggressive CTAs. The system successfully identified and engaged professionals who were open to deeper conversations, setting the foundation for future advisory, hiring, and consulting workflows.





Why This Worked





This campaign succeeded because it respected the audience. Senior engineers respond to clarity, relevance, and professionalism, not hype. By starting with a simple strategy, validating early success, and making only small, data-backed adjustments, we allowed results to compound naturally.





Rather than forcing urgency or over-personalization, the outreach stayed aligned with the expectations of experienced professionals. Scaling was done cautiously, ensuring trust and account safety were never compromised.





Final Takeaway





This case study shows that effective outbound doesn’t always require complex funnels or aggressive persuasion. For the right audience, a clear CTA, respectful messaging, and consistent execution can drive exceptional engagement.





By building a repeatable, compliance-safe outreach system, we helped Topmate creators consistently surface and engage mid-to-senior engineering talent, creating long-term value far beyond a single campaign.

---

## 33 replies. 22 positive responses. One focused agency giveaway
URL: https://sbl.so/case-study/cold-outreach-case-study-how-we-used-a-giveaway-based-outreach-campaign-to-rapidly-activate-and-qualify-a-warm-audience/
Industry: Marketing & Agencies
Channel: Outbound

A warm-audience campaign offering a practical “14 Prompts” resource.

Reported results:
- 22 Positive responses
- 33 Direct replies
- 136 Targeted reachouts

Adapt this approach:
1. Offer one specific, useful resource with a short, low-friction invitation.
2. Separate positive responses from general replies and acknowledgements.
3. Follow up with the interested group using the next step relevant to their response.

Reading the numbers: Positive responses indicate interest in the giveaway; they are not booked meetings or customers. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Agence QUASRIndustry: Creative / Digital AgencyOffer: “14 Prompts” GiveawayPrimary CTA: Giveaway response & engagementCampaign Type: Lead magnet activation campaign





The Problem





Agence QUASR wanted to activate interest around a value-driven giveaway, a curated set of 14 prompts designed to attract marketers, creators, and professionals interested in practical AI and creative workflows.





The challenge wasn’t creating interest. The giveaway itself had strong appeal. The real challenge was distribution and response quality.





Generic posting or passive sharing wouldn’t surface enough meaningful engagement, and the goal wasn’t just downloads, it was to identify people who were genuinely interested and responsive, creating a warm audience for future conversations.





Our Approach (What We Actually Did)





We treated this campaign as a rapid engagement and qualification play, not a mass giveaway blast.





Instead of pushing the giveaway broadly, we used targeted outreach designed to:






Spark quick responses





Test interest immediately





Separate passive viewers from active participants






The messaging was short, direct, and curiosity-driven, positioning the giveaway as a quick win rather than a long commitment.





Phase 1: Giveaway-Led Outreach for Fast Signal





The first phase focused on using the “14 Prompts” giveaway as a low-friction entry point. Because the ask was simple and the value was immediate, prospects were more willing to respond.





This allowed us to quickly surface people who were open to engaging, rather than just consuming content silently.





Phase 2: Identifying High-Intent Responders





As replies came in, we monitored response behavior closely. Those who engaged quickly and positively were tagged as high-intent responders, while low-signal interactions were filtered out.





This ensured the campaign didn’t just inflate numbers, but created a clean, responsive audience segment for follow-up use.





Results (14 Prompts Giveaway Campaign)





From 136 targeted reachouts, the campaign generated 33 direct replies, with 22 positive, high-intent responses tied directly to the giveaway.





The outreach successfully activated a warm group of engaged prospects, proving that giveaway-led campaigns can be an effective way to quickly qualify interest when paired with targeted messaging.





Rather than building a large but passive list, the campaign delivered a small, responsive audience, exactly what’s needed for downstream nurturing or offer testing.





Why This Worked ?





This campaign worked because the CTA matched the audience’s attention level. The giveaway reduced friction, while outbound ensured visibility.





By combining a strong lead magnet with precise outreach, the campaign converted curiosity into conversation, not just clicks.





Final Takeaway





This case study shows that giveaways don’t need to be noisy or unfocused. When paired with targeted outreach, they can become a powerful tool for engagement validation and audience warming.





By using the giveaway as a signal filter rather than a vanity metric, we helped Agence QUASR quickly identify and activate a high-quality audience segment.

---

## 480 connection acceptances. 256 replies. A focused trading-education campaign
URL: https://sbl.so/case-study/linkedin-cold-outreach-case-study-how-we-drove-high-intent-trading-conversations-and-meeting-requests-for-a-topmate-creator-targeting-high-income-professionals/
Industry: Finance & Insurance
Channel: LinkedIn

Latest consolidated results across five LinkedIn campaigns for a trading-and-markets educator.

Reported results:
- 823 Connection requests sent
- 480 Connection acceptances
- 256 Net replies

Adapt this approach:
1. Frame the offer around a structured learning process rather than income promises.
2. Select the professional audience whose interests match the educational offer.
3. Use interested replies to assess whether a one-to-one conversation is relevant.

Reading the numbers: Replies and meeting interest are not the same as booked meetings; the article does not publish a booked-meeting total. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: TopmateCreator Type: Trading & Markets EducatorTarget Audience: High-Income Indian Professionals & Active TradersPrimary CTA: Book a 1-on-1 meetingCampaigns Run: 5 outbound awareness and conversion campaigns





The Problem





One of the creators on Topmate was building awareness around a structured trading framework designed for high-income professionals and serious traders. Unlike beginner trading audiences, this segment is highly skeptical, exposure-heavy, and resistant to hype-driven messaging. Most prospects have already seen dozens of trading offers and are quick to disengage if something feels promotional or exaggerated.





The creator’s goal was not mass visibility or course sales. The objective was far more precise: start intelligent conversations and book meetings with professionals who were genuinely interested in understanding the trading framework before committing further.





Inbound interest alone was insufficient. Organic content attracted attention but rarely translated into scheduled conversations. What was needed was a controlled outbound system that could cut through noise, establish credibility quickly, and move the right people toward a meeting without triggering distrust.





Our Approach (What We Actually Did)





For this creator, we treated outbound as a credibility-first awareness channel, not a selling mechanism. The campaigns were designed to introduce the trading framework calmly, position the creator as a serious practitioner, and invite conversation rather than force a booking.





The work was executed across five campaigns, each iteration refining clarity, audience alignment, and conversational flow while keeping the CTA consistent: booking a meeting.





Phase 1: Framework Awareness Without Selling





The initial campaigns focused purely on awareness. Messaging was intentionally neutral and educational, avoiding any income claims, aggressive promises, or performance hype. The goal was to introduce the trading framework as a structured way of thinking rather than a shortcut to profits.





This approach worked well with the target audience. High-income professionals and traders responded positively to messaging that respected their intelligence and experience. Even without heavy persuasion, the campaigns generated steady replies and early meeting interest, validating that the positioning was correct.





Phase 2: Refining Messaging for Serious Traders





Once early traction was visible, we refined the messaging to better filter for seriousness. The language began emphasizing discipline, process, and long-term consistency, themes that resonate strongly with experienced traders. The outreach made it clear that the framework was not for everyone, which paradoxically increased engagement quality.





At this stage, conversations became more focused. Replies shifted from curiosity-based responses to intent-driven discussions, with prospects asking how the framework works in practice and whether a conversation would be relevant for their specific trading style.





Phase 3: Scaling Conversations While Maintaining Trust





As engagement stabilized, the campaigns were scaled cautiously. Outreach volumes increased while staying within LinkedIn’s safety limits, and message sequences were restarted strategically after pauses to protect account health. Despite these pauses, reply momentum remained stable, indicating that responses were driven by relevance rather than novelty.





The CTA remained consistent throughout: an invitation to book a meeting only if the framework genuinely aligned with the prospect’s goals. This kept conversations clean and prevented low-quality bookings.





Results (Across All Anuj Campaigns)





Across the active campaign cycles, Anuj’s outreach delivered consistent and growing engagement from a high-value audience.





From the latest consolidated campaign updates, Anuj’s campaigns achieved 823 connection requests sent, with 480 acceptances and 256 net replies from high-income professionals and traders. Earlier campaign snapshots already showed steady traction, with reply counts increasing as messaging was refined and outreach scaled.





These replies translated into meaningful trading-focused conversations and qualified meeting interest. The campaigns also maintained a healthy queue of follow-up-ready leads, allowing the creator to continue booking conversations without relying on unpredictable inbound traffic.





Importantly, these results were achieved without promotional language, urgency tactics, or aggressive selling, a critical requirement for trust-sensitive trading audiences.





Why This Worked ?





This campaign worked because it respected the psychology of experienced traders. Instead of promising outcomes, it focused on process. Instead of pushing meetings, it invited conversations. Messaging stayed calm, credible, and selective, which increased perceived value rather than diluting it.





By maintaining a consistent CTA, refining positioning rather than reinventing strategy, and scaling carefully within platform limits, the system produced reliable engagement without damaging trust or account health.





Final Takeaway





This case study demonstrates that outbound can work even in highly skeptical markets like trading, if it’s executed with restraint, clarity, and respect for the audience.





By building a credibility-first outbound engine, we helped a Topmate trading creator consistently start high-quality conversations and book meetings with serious professionals, creating a sustainable foundation for long-term growth.

---

## 282 inbound leads became 233 qualified conversations
URL: https://sbl.so/case-study/whatsapp-inbound-lead-qualification-case-study-how-we-helped-an-immigration-firm-turn-high-volume-meta-leads-into-qualified-visitor-visa-conversations/
Industry: Professional Services
Channel: WhatsApp

WhatsApp qualification for visitor-visa enquiries. The same story also reports 60 high-intent enquiries.

Reported results:
- 282 Inbound Meta leads
- 233 Qualified conversations
- 27 Consultation-ready leads

Adapt this approach:
1. Respond to inbound enquiries with a short, structured qualification conversation.
2. Clarify visa type, travel intent and readiness before proposing a consultation.
3. Hand consultation-ready leads to the team with the qualification context attached.

Reading the numbers: Consultation-ready leads are not confirmed booked consultations. Engagement events are not counted as unique people. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Winny ImmigrationIndustry: Immigration & Visa ServicesCampaign Objective: Visitor visa inquiry qualificationLead Source: Meta (Facebook & Instagram) inbound leadsPrimary CTA: Qualified consultation conversations





The Problem





Winny Immigration was running Meta ad campaigns for visitor visa inquiries and generating a large volume of inbound leads. While lead quantity was strong, the real challenge appeared after the click.





Most inbound leads were:






Early-stage or casually curious





Poorly qualified





Not ready for immediate consultation





Time-consuming for the sales team to manually filter






This created a classic bottleneck: high lead volume, low operational efficiency. The team needed a system to quickly identify serious prospects, filter out low-intent inquiries, and route only qualified leads into meaningful visa conversations.





Our Approach (What We Actually Did)





Instead of focusing on generating more leads, we focused on lead qualification and conversion efficiency.





We designed a structured qualification flow that sat between Meta inbound traffic and the consultation team. The goal was simple: respond fast, ask the right questions, and surface intent early, without overwhelming or frustrating the lead.





This approach allowed Winny Immigration to maximize value from existing ad spend rather than increasing it.





Phase 1: Rapid Response & Intent Segmentation





The first phase focused on speed and structure. Incoming Meta leads were engaged quickly and guided through a short qualification flow designed to identify visa type, travel intent, and readiness.





Rather than pitching services immediately, the messaging clarified eligibility and expectations. This helped filter out casual inquiries while keeping serious prospects engaged.





Phase 2: Qualification Before Consultation





Once basic intent was established, leads were segmented based on readiness and relevance. Only those who met minimum qualification criteria were pushed toward deeper conversations or consultations.





This significantly reduced noise for the sales team and ensured that time was spent on prospects with genuine intent rather than exploratory queries.





Phase 3: Scaling Without Losing Quality





With the qualification flow working, the system handled increasing inbound volume without a drop in quality. Even as hundreds of leads flowed in, response consistency and qualification accuracy were maintained.





This transformed Meta ads from a “lead flood” into a predictable consultation engine.





Results (Visitor Visa Inquiry Qualification Campaign)





From 282 inbound Meta leads, the system successfully processed and qualified the audience at scale.





The campaign resulted in:






517 active lead engagements





233 qualified conversations





60 high-intent visa inquiries





27 consultation-ready leads






Instead of overwhelming the team with raw leads, the system delivered clean, pre-qualified prospects, allowing Winny Immigration to focus on conversion rather than filtering.





Why This Worked ?





This campaign worked because it respected the reality of inbound immigration leads. Not every inquiry is equal, and pushing everyone into sales conversations wastes time and trust.





By inserting a structured qualification layer, we aligned speed with relevance and turned volume into signal.





Final Takeaway





This case study shows that growth doesn’t always come from more leads, sometimes it comes from better handling of the leads you already have.





By building a scalable qualification system for Meta inbound traffic, we helped Winny Immigration convert high lead volume into real, consultation-ready opportunities without increasing ad spend.

---

## 3 enrollments. $7,497 in reported revenue. An education-led LinkedIn approach
URL: https://sbl.so/case-study/linkedin-outreach-case-study-how-we-helped-an-edtech-brand-convert-qa-professionals-from-free-workshops-into-a-7497-career-accelerator-pipeline/
Industry: Education & Training
Channel: LinkedIn

Separate workshop, awareness and paid-program campaigns for QA professionals.

Reported results:
- 3 Confirmed enrollments
- $7,497 Reported revenue
- 9 Workshop registrations

Adapt this approach:
1. Start with a workshop that addresses a concrete career problem.
2. Continue with relevant upskilling content for people who engage.
3. Introduce the paid accelerator when the audience is ready for that next step.

Reading the numbers: Workshop registrations and paid enrollments belong to different campaign phases. The separately reported $2,250 pipeline is not added to revenue. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Engenious UniversityIndustry: EdTech / Career UpskillingTarget Audience: QA & Software Testing ProfessionalsPrimary CTAs: Workshop registrations → Upskilling interest → Program enrollmentCampaigns Run: 3 outbound campaigns across funnel stages





The Problem





Engenious University serves QA and software testing professionals — a segment facing rapid disruption due to AI and automation. While demand for upskilling was real, the challenge was activation and trust, not awareness.





QA professionals are cautious buyers. Many attend free sessions but hesitate to commit to paid programs unless the value is proven and the timing feels right. Relying solely on inbound traffic or ads made it difficult to guide prospects through this journey in a structured way.





Engenious University needed a system that could:






Drive attendance for free, value-led workshops





Engage professionals worried about job security





Convert high-intent learners into a paid career accelerator






Our Approach (What We Actually Did)





We treated this engagement as a multi-stage outbound funnel, not a single campaign. Instead of pushing enrollment immediately, we designed outreach that matched the emotional and professional state of the audience at each stage.





Each campaign had a distinct role:






Build trust through a free workshop





Address AI-driven job security concerns





Convert readiness into paid enrollment






Phase 1: Driving High-Intent Attendance for a Free QA Workshop





The first campaign focused on inviting QA specialists to a free live workshop titled “Stop Applying, Start Getting Hired.” Messaging was aspirational but grounded, speaking directly to frustrations around job applications and stagnant hiring outcomes.





Because the CTA was educational and low-friction, engagement came quickly. The campaign generated strong interest and resulted in 9 confirmed workshop registrations, creating an immediate pipeline value of $2,250 from attendees who progressed beyond the session.





More importantly, this phase validated outbound as a reliable way to activate QA professionals for live learning events.





Phase 2: Addressing AI Anxiety with Upskill-Focused Messaging





With workshop engagement established, the second campaign shifted tone. This outreach targeted QA professionals concerned about AI’s impact on job security. Messaging focused on awareness and future-proofing rather than selling a program.





The goal here was not conversion, but signal detection, identifying professionals actively thinking about upskilling. Replies during this phase were thoughtful and intent-driven, confirming that the audience resonated deeply with the problem framing.





This campaign warmed the audience further, preparing them psychologically for the next step.





Phase 3: Converting Readiness into Paid Program Enrollment





The final campaign targeted QA professionals already showing interest or alignment and introduced the AI QA Career Accelerator program. Because trust had been built in earlier phases, this outreach didn’t feel abrupt or salesy.





Messaging focused on outcomes, structure, and timing, positioning the program as a logical next step rather than a new offer. As a result, conversations transitioned smoothly into enrollment discussions.





This campaign resulted in 3 confirmed enrollments, generating $7,497 in revenue from a highly targeted audience.





Results (Across Engenious University Campaigns)





Across three campaigns, Engenious University successfully built a full outbound-driven conversion funnel.





The system delivered:






Consistent engagement from QA professionals





Strong workshop participation





High-quality upskilling conversations





$9,747+ in combined pipeline and revenue, driven entirely through outbound






Beyond the numbers, the campaigns demonstrated that outbound could be used not just to sell, but to educate, warm, and convert a technically sophisticated audience.





Why This Worked ?





This engagement succeeded because the outreach matched intent at every stage. Instead of forcing enrollment, we let interest evolve naturally, from curiosity, to concern, to commitment.





By sequencing campaigns thoughtfully and respecting the buyer’s journey, the system allowed conversions to compound rather than stall.





Final Takeaway





This case study shows that outbound works exceptionally well for education and career upskilling, when it’s treated as a funnel, not a pitch.





By combining value-led workshops, problem-aware messaging, and timely enrollment outreach, we helped Engenious University turn professional uncertainty into decisive action and measurable revenue.

---

## 105 reachouts led to one $7,500 consulting sale
URL: https://sbl.so/case-study/cold-outreach-case-study-how-we-helped-a-consultant-close-a-high-ticket-7500-deal-using-precision-outbound-outreach/
Industry: Coaching & Consulting
Channel: Outbound

A small-list outbound campaign for a high-ticket consulting offer.

Reported results:
- 105 Targeted reachouts
- 1 Confirmed conversion
- $7,500 Reported revenue

Adapt this approach:
1. Build a small list of prospects who closely fit the consulting offer.
2. Open with a peer-level conversation about fit rather than a broad pitch.
3. Move relevant conversations into a strategy discussion with a clear purpose.

Reading the numbers: One reported sale is a campaign result, not a promise of repeatable conversion at larger volumes. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Michiel CremersIndustry: Consulting / Growth StrategyOffer: Paid Organic Growth StrategyPrimary CTA: Strategy callCampaign Type: High-intent outbound pilot





The Problem





Michiel was offering a high-ticket paid organic strategy, aimed at a very specific type of client. This wasn’t a mass-market offer, and it wasn’t something that could be sold through generic lead generation or volume-based outreach.





The challenge was precision.





The audience needed to be:






Small and well-defined





Already sophisticated enough to value organic strategy





Willing to pay for strategic thinking, not execution shortcuts






Inbound alone was too slow and unpredictable. What Michiel needed was a controlled outbound approach that could surface the right conversations without damaging positioning or brand perception.





Our Approach (What We Actually Did)





We treated this campaign as a surgical outbound effort, not a scale play.





Instead of pushing volume, we focused on:






Tight lead selection





Context-aware messaging





A calm, consultative CTA






The messaging was written to feel like a peer-level conversation, not a pitch. It positioned the outreach as an invitation to explore fit, rather than a sales message.





Phase 1: Testing Message - Market Fit with a Small, Clean List





The campaign intentionally started with a small set of highly relevant prospects. The goal was to validate resonance, not maximize replies.





Because the audience was carefully chosen, engagement came quickly. Replies were thoughtful, and conversations moved naturally toward discussing strategy rather than price or logistics.





This confirmed that the offer and the positioning were aligned with the market.





Phase 2: Converting Conversation into a High-Trust Call





Once conversations were active, the CTA remained simple: a strategy discussion to assess whether working together made sense.





There was no pressure, no urgency framing, and no artificial scarcity. This allowed trust to build quickly, which is critical when selling high-ticket consulting.





From a very limited number of conversations, one prospect progressed cleanly through the funnel and converted.





Results (Paid Organic Strategy Outreach)





From just 105 targeted reachouts, the campaign generated multiple meaningful conversations, resulting in 1 confirmed conversion.





That single conversion produced $7,500 in revenue, validating outbound as a viable acquisition channel for high-ticket consulting when executed with precision.





More importantly, the campaign proved that quality-first outbound can outperform volume-driven approaches for premium offers.





Why This Worked ?





This campaign worked because it respected the economics and psychology of high-ticket consulting.





Instead of selling outcomes, it sold thinking.Instead of urgency, it used relevance.Instead of scale, it used precision.





By keeping outreach small, targeted, and conversational, the campaign attracted the right buyer without noise.





Final Takeaway





This case study shows that outbound doesn’t need scale to work. For premium consulting offers, one right conversation can be worth more than hundreds of low-intent leads.





By running a focused outbound pilot, we helped a consultant validate demand, close a high-value deal, and build confidence in outbound as a repeatable growth lever.

---

## 336 conversations and 125 high-intent responses for an investment community
URL: https://sbl.so/case-study/cold-outreach-case-study-how-we-helped-an-investment-firm-build-high-intent-membership-demand-for-a-private-investment-club/
Industry: Finance & Insurance
Channel: Outbound

An initial pilot for a private investment club; the article also reports $3,000 in tracked pipeline.

Reported results:
- 1,471 Prospects reached
- 336 Reported conversations
- 125 High-intent responses

Adapt this approach:
1. Select a relevant audience before testing the membership proposition.
2. Explain the community’s fit and approach without investment-return promises.
3. Qualify interested respondents before introducing a membership next step.

Reading the numbers: High-intent responses and tracked pipeline are not evidence of closed revenue. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Unita CapitalIndustry: Investment / Private CapitalOffer: Private Investment Club (V1)Primary CTA: Club interest & onboarding conversationsCampaign Type: Targeted outbound pilot





The Problem





Unita Capital was launching the first version of its private investment club, an exclusive offering designed for a narrow group of qualified investors. Unlike mass-market financial products, this was a trust-heavy, high-consideration offer where volume alone meant nothing. The real challenge was attracting the right people, not more people.





Traditional marketing channels were not ideal for this launch. Paid ads would attract unqualified interest, and organic reach lacked the precision required for a private investment initiative. What Unita Capital needed was a controlled, high-signal outreach system that could quietly surface serious interest without damaging brand credibility or exclusivity.





Our Approach (What We Actually Did)





We treated this campaign as a precision outbound engagement, not a promotional blast. The strategy focused on relevance, discretion, and intent qualification.





Instead of selling the investment club upfront, the outreach was designed to open conversations, gauge alignment, and allow interest to surface naturally. Messaging emphasized exclusivity, long-term thinking, and selective participation, intentionally filtering out casual respondents.





Phase 1: Controlled Outreach to Test Market Interest





The first phase focused on validating whether the investment club concept resonated with the intended audience. Outreach volumes were kept controlled, and messaging was conservative in tone, avoiding hype, performance claims, or urgency.





This approach quickly demonstrated positive signals. A meaningful portion of recipients engaged with the outreach, indicating curiosity and alignment rather than casual interest. Conversations were thoughtful, and responses reflected serious consideration, exactly the signal required at this stage.





Phase 2: Refining Conversations and Qualification





As replies came in, conversations were carefully guided to understand fit rather than push conversion. This allowed Unita Capital to qualify interest early and maintain the club’s exclusivity.





Because the audience was well-matched and the messaging aligned with investor psychology, follow-ups felt natural and respectful. Engagement remained consistent without the need for aggressive nudging.





Results (Investment Club V1 Campaign)





The campaign reached 1,471 carefully selected prospects, resulting in 336 meaningful conversations and 125 high-intent responses tied directly to the investment club. From these interactions, 6 qualified conversions were identified, generating a tracked pipeline value of $3,000 from the initial pilot alone.





Beyond the immediate numbers, the campaign validated outbound as a viable channel for private investment initiatives, proving that serious investors will engage when approached correctly.





Why This Worked ?





This campaign worked because it respected the audience. Investment decisions are driven by trust, alignment, and credibility,  not urgency or volume. By keeping outreach selective, messaging conservative, and conversations qualification-focused, the campaign attracted the right interest instead of noisy attention.





The controlled pilot approach ensured clean signal and set a strong foundation for future club versions.





Final Takeaway





This case study shows that outbound can work even for exclusive, trust-sensitive offers like private investment clubs, when executed with discipline and restraint.





By using targeted outreach as a conversation starter rather than a sales push, we helped Unita Capital successfully validate demand, onboard qualified members, and build confidence in outbound as a long-term growth channel.

---

## 204 conversations from 234 targeted HR reachouts
URL: https://sbl.so/case-study/cold-outreach-case-study-how-we-helped-a-leadership-consulting-firm-activate-hr-decision-makers-using-a-thought-leadership-offer/
Industry: Coaching & Consulting
Channel: Outbound

An authority-led leadership-consulting campaign aimed at HR professionals and training managers.

Reported results:
- 234 Targeted reachouts
- 204 Reported conversations

Adapt this approach:
1. Lead with a useful leadership idea or resource instead of a consulting pitch.
2. Target the HR and training roles responsible for that problem.
3. Use the replies to explore relevant challenges before introducing a consulting next step.

Reading the numbers: The source calls these meaningful conversations. It does not publish booked-meeting or sales counts. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: CODA Business SolutionsIndustry: Leadership Development / Corporate TrainingOffer: Responsibility Effect Book (Authority-Led Entry Offer)Target Audience: HR Professionals & Training ManagersPrimary CTA: Leadership conversations & discovery discussions





The Problem





CODA Business Solutions works in leadership development, a space where trust, authority, and credibility matter far more than aggressive selling. Their audience consisted of HR leaders and training managers who are heavily solicited and highly resistant to generic outreach.





Traditional outbound approaches weren’t suitable. Direct pitching would reduce trust, and paid ads wouldn’t convey the depth of expertise required for leadership consulting. CODA needed a way to start senior-level conversations without sounding promotional, while positioning themselves as a serious authority in responsibility, leadership, and organizational behavior.





Our Approach (What We Actually Did)





We designed this campaign as an authority-first outbound strategy.





Instead of selling consulting services upfront, we used the Responsibility Effect book as a credibility anchor. The outreach positioned the book not as a giveaway, but as a leadership framework relevant to HR and training decision-makers dealing with accountability, ownership, and performance inside organizations.





The goal was simple:Start meaningful conversations with the right people, not sell to everyone.





Phase 1: Authority-Led Outreach to Senior HR Roles





The initial outreach targeted HR professionals and training managers with messaging that acknowledged their responsibility and context. Rather than pitching services, the messages invited them to explore an idea, responsibility as a leadership lever, through the book.





This immediately differentiated the outreach. Responses were thoughtful and professional, signaling that the message was landing with a senior audience that values insight over promotion.





Phase 2: Engagement Filtering Through Conversation





As replies came in, conversations were guided carefully. The focus remained on leadership challenges, responsibility gaps, and organizational dynamics, not on selling programs.





This approach naturally filtered out low-intent responses while deepening engagement with aligned prospects. The book served as a conversation starter, not a transactional hook.





Results (Leadership Development Outreach Campaign)





From 234 highly targeted reachouts, the campaign generated 204 meaningful conversations with HR professionals and training managers, an exceptionally high engagement rate for a senior B2B audience.





These conversations surfaced 4,422+ strong engagement signals, demonstrating deep interest in the leadership framework and CODA’s positioning. The campaign successfully validated outbound as a channel for authority-driven engagement, laying the groundwork for high-value consulting conversations tied to leadership development programs valued at $10,000+.





While the campaign was not designed for immediate transactional conversion, it achieved its primary objective: opening doors with senior decision-makers at scale without compromising credibility.





Why This Worked ?





This campaign worked because it respected how senior buyers think.





HR leaders don’t respond to pitches, they respond to insight. By leading with thought leadership instead of offers, the outreach positioned CODA as a partner in leadership thinking rather than another vendor.





The book wasn’t a giveaway. It was a signal of depth.





Final Takeaway





This case study shows that outbound can be powerful even in high-trust, senior-level markets, when it’s executed with authority and restraint.





By using a thought-leadership asset as the entry point, we helped CODA Business Solutions start hundreds of meaningful conversations with HR decision-makers and build a scalable pipeline for leadership consulting engagements.

---

## 150+ replies from a sleep-optimization webinar campaign
URL: https://sbl.so/case-study/linkedin-outreach-case-study-how-we-drove-high-intent-webinar-registrations-for-a-sleep-optimization-creator-using-linkedin-outreach/
Industry: Healthcare & Wellness
Channel: LinkedIn

Reported across multiple LinkedIn campaigns promoting the same free sleep-performance webinar.

Reported results:
- 150+ Direct replies

Adapt this approach:
1. Position the webinar around the audience’s work: focus, clarity and professional performance.
2. Test business, legal and first-degree-connection audiences as separate segments.
3. Keep the invitation simple and send the relevant webinar link when interest is established.

Reading the numbers: Registration counts and booked-meeting totals are not published. Figures are reported in the published story, not independently re-audited here.

Original case study:
Campaign Theme: Sleep Your Way to Success (Free Webinar)Offer Type: Educational webinar (Sleep Optimization & Performance)Primary CTA: Webinar registrationPlatform Used: LinkedIn outreachAudience Segments Tested: Business professionals, legal professionals, first-degree connections





The Context





This campaign was built around a simple but powerful idea: better sleep leads to better performance. The creator was running a free educational webinar titled “Sleep Your Way to Success”, aimed at high-performing professionals who already cared about productivity, decision-making, and long-term health.





The challenge wasn’t the topic, sleep optimization resonates strongly when framed correctly. The challenge was distribution: getting the right professionals to notice, engage, and actually register for the webinar in a noisy LinkedIn environment.





Our Approach (What We Actually Did)





Instead of running a single generic campaign, we designed this as a multi-segment outreach system. The idea was to test how different professional groups respond to the same core message when framed slightly differently.





We launched parallel campaigns targeting:






Business professionals and founders





Legal professionals





Existing first-degree LinkedIn connections





Broader professional audiences interested in performance and success






Each campaign carried the same core CTA, “Thanks for showing interest, here’s the link to our free webinar: Sleep Your Way to Success”, but the framing was subtly adjusted to match the audience’s context.





Phase 1: Testing Message Resonance Across Professional Segments





The initial campaigns focused on business professionals and first-degree connections. These groups already had some awareness of performance optimization, which made them ideal for early validation.





Engagement came quickly. Even without aggressive follow-ups, replies started flowing, indicating that the message was landing. This confirmed that sleep, when positioned as a performance lever rather than a wellness trend, generates real interest.





Phase 2: Expanding into Legal & High-Pressure Roles





Once early traction was visible, we expanded the same webinar invite into more demanding professions, such as legal professionals. This segment typically has lower response rates, so the messaging emphasized focus, clarity, and cognitive performance rather than lifestyle improvement.





Despite being a tougher audience, these campaigns still generated replies, reinforcing the idea that sleep optimization cuts across industries when framed correctly.





Phase 3: Leveraging First-Degree Connections for Faster Momentum





In parallel, we ran a networking-style outreach to first-degree LinkedIn connections. This wasn’t a cold pitch, it was a warm reminder-style message, which significantly reduced friction.





This layer acted as a momentum booster, adding a steady stream of replies and registrations while the broader cold outreach campaigns continued running.





Results (Across Sleep Optimization Webinar Campaigns)





Across all active campaigns, the outreach generated well over 150+ direct replies combined, with individual campaigns showing strong reply counts on their own. The business-focused webinar campaign alone produced 80+ replies, while legal and networking-focused campaigns added another 60+ engaged responses.





These replies translated into a consistent flow of webinar registrations from professionals who were not just curious, but genuinely interested in improving performance through better sleep. Importantly, the engagement trend was positive and ongoing, with multiple campaigns still running and accumulating responses.





Rather than relying on a single spike, the system created compounding interest across segments.





Why This Worked ?





This campaign worked because it aligned the message with the audience’s real priorities. Sleep was not sold as wellness, it was positioned as a competitive advantage.





By testing multiple ICPs in parallel, we avoided guesswork and let real engagement data guide the rollout. Personalization was light but contextual, and the CTA was simple, valuable, and non-pushy.





Most importantly, the campaign respected attention. It invited people to learn, not to buy.





Final Takeaway





This case study shows how educational webinars can be scaled effectively through outbound when the topic is framed correctly and distributed intelligently.





By combining multi-ICP testing, performance-oriented messaging, and a low-friction CTA, we helped a sleep optimization creator consistently drive high-intent webinar registrations, turning a simple idea into a repeatable demand engine.

---

## $60,000 in reported monthly pipeline from six LinkedIn profiles
URL: https://sbl.so/case-study/jnn-group/
Industry: Finance & Insurance
Channel: LinkedIn

A fintech-compliance outreach rollout aimed at audit, risk and lending decision-makers.

Reported results:
- $60,000 Reported monthly pipeline
- 30 days Reporting window
- 6 LinkedIn profiles

Adapt this approach:
1. Separate buyer personas and lead with the trigger relevant to each role.
2. Offer a useful one-pager or short explanation before asking for a meeting.
3. Follow up in the conversation’s context and make the calendar handoff clear.

Reading the numbers: Pipeline is opportunity value, not realized revenue. Reply and booked-meeting counts are not published in this article. Figures are reported in the published story, not independently re-audited here.

Original case study:
1. The Client: JNN Group





A mid-sized fintech company was working in a compliance-heavy space. Their core challenges revolved around slow sales cycles, hard-to-engage decision-makers in audit and risk, and limited outbound capacity. They were already running some manual outreach but results were inconsistent. Referrals happened randomly, LinkedIn openers felt too generic, and conversations rarely converted into booked meetings. They needed a better way to:






Find the right decision-makers





Start smarter conversations





Create qualified pipeline quickly






That’s where we came in.





2. The Challenge





The early signals from their outreach were positive. People were replying. Referrals were coming in. A few booked calls had already happened. But there were clear roadblocks.






Low connection acceptance on LinkedIn





Overused opener that lacked role or industry relevance





Momentum dropped off after the first message





Follow-ups defaulted to links that looked like cold emails





Some prospects responded with "not my department" or "we already have a system"






Even warm leads didn’t always progress. So we needed a sharper strategy that could scale.





3. The Setup: Day 1 to Day 3





We followed a clear 5-part onboarding plan and completed it in just 3 days.





Step 1: Strategic Offer and ICP





We gathered everything the client had on past deals, messaging, and audience profiles. Then we defined three primary personas:






Risk and audit heads





Compliance leaders in financial services





Operations leaders in lending and RIA teams






We mapped pain points, offer tiers, and value propositions for each.





Step 2: Messaging Design





For each persona, we built personalized sequences focused on specific triggers like:






SOC 2 and ISO efforts





Lending expansion





GAAP audit cycles





Recent fines or hiring activity






We created variants with curiosity-based openers and strong asset-led CTAs like one-pagers or Loom videos.





Step 3: Campaign Setup





We launched the full campaign structure inside our LinkedIn engine. This included:






Persona-specific campaign containers





Airtable dashboards for tracking and status





A/B test variants across messages and assets






Step 4: Technical Execution





Six real LinkedIn profiles were configured to run the outreach. We built SOPs for each profile, connected them to the campaigns, and made sure every account had clean bios, headers, and credibility signals.





Step 5: QA and Go-Live





Final checks ensured:






All campaigns were approved





Messaging was loaded and aligned





Calendars were linked





Each LinkedIn account was sending live





Five booking links were tested and active






We were ready to go.





4. Campaign Execution Highlights





The campaigns ran with surgical precision. Here’s what we did differently:






Used time-bound scheduling to create urgency and reduce drop-offs





Asked for referrals with ready-to-send blurbs instead of just saying "who else should I talk to"





Responded to curiosity with tailored Looms and short one-pagers based on real questions





Tagged out-of-office leads with return dates and followed up precisely





Positioned integration limitations as partnership opportunities rather than dead ends






Every single reply was followed by a human-sounding response, no bots or automation giveaways.





5. Results in Just 30 Days





With only 6 LinkedIn profiles running outreach, here’s what happened in the first 30 days:






$60,000 in monthly pipeline added





Referrals flowed in without asking twice





Top compliance and audit buyers replied with interest





Conversations led to concrete use cases within 3 messages






All from cold LinkedIn outreach. No ads. No cold emails.





6. Key Insights and Learnings





Here’s what worked:






Personalizing by trigger and industry boosted acceptance





Adding micro-assets in follow-ups created credibility





Avoiding generic hooks and switching to role-based problems led to more replies





Sending invites quickly after a time was mentioned helped us close the loop faster






What we fixed:






No more sending site links without context





Created nurture lists for people travelling or busy





Improved calendar hygiene by sending invites within one hour of a reply






7. The Bigger Picture





This was not just about building pipelines. It proved a repeatable system could be created, launched, and scaled in just three days. By the end of the first month, the team had:






A working LinkedIn engine





Active campaigns across core verticals





High-conversion messages and assets





A new way to engage the right buyers at the right moment






8. What's Next





Based on the initial traction, we’re now expanding outreach to new verticals like insurance and healthcare. More LinkedIn accounts are being added. More playbooks are being launched. But the foundation is already built. A predictable pipeline engine that combines human messaging with AI-driven orchestration. That’s what made the $60K/month happen. And it’s just the beginning.

---

## $34,000+ in reported workshop pipeline from a multichannel rollout
URL: https://sbl.so/case-study/omnichannel-outreach-case-study-how-we-drove-high-volume-workshop-registrations-for-a-global-influence-education-brand-using-linkedin-whatsapp-outreach/
Industry: Education & Training
Channel: Multichannel

LinkedIn and WhatsApp campaigns promoted a free AI-and-psychology workshop to an existing lead base.

Reported results:
- 22,000+ Lead base activated
- $34,000+ Primary workshop pipeline

Adapt this approach:
1. Make the learning benefit of the free workshop clear in the first invitation.
2. Re-engage existing LinkedIn connections with a context-aware reminder.
3. Use a direct WhatsApp or registration link to remove friction for interested people.

Reading the numbers: The source separately reports $30,600 from re-engagement. These pipeline figures are not summed here, and neither is treated as revenue. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Online Influence InstituteIndustry: Online Education / Influence & PsychologyOffer: Free AI + Psychology Conversion WorkshopPrimary CTA: Workshop registrationsPlatforms Used: LinkedIn + WhatsAppAudience Size Activated: 22,000+ leads





The Problem





Online Influence Institute runs high-value educational programs at the intersection of AI, psychology, and influence. Their workshops are used as a primary entry point into the ecosystem, making workshop registrations a critical growth lever.





The challenge wasn’t the offer. The workshop topic had strong pull and clear value. The problem was activation at scale.





They were sitting on a large lead base and first-degree LinkedIn connections, but traditional methods were underperforming:






Organic reach was inconsistent





Email alone wasn’t activating enough people





Paid ads were not ideal for re-engaging warm audiences






What they needed was a multi-platform activation system that could reliably turn existing leads and connections into workshop registrations, without burning trust or over-messaging.





Our Approach (What We Actually Did)





We treated this as a distribution and re-engagement problem, not a cold acquisition problem. Instead of blasting one message everywhere, we designed a layered outreach strategy that combined LinkedIn for context and WhatsApp for conversion.





The campaigns were structured across multiple phases, each with a specific role in the funnel: awareness, re-engagement, and final conversion.





Phase 1: Activating a Large Lead Base with Clear Workshop Positioning





The first campaign focused on inviting a large, existing lead list to a free AI + Psychology workshop. Messaging was crafted to clearly communicate why the workshop mattered now, what attendees would learn, and how it connected to real-world conversion outcomes.





This phase validated immediate demand. Engagement came quickly, and registrations began flowing, confirming that the core positioning was strong. Rather than relying on hype, the messaging leaned on clarity and relevance, which worked well for an audience already familiar with the brand.





Phase 2: Re-Engaging First-Degree LinkedIn Connections





Once the broader lead base was activated, we moved to a more targeted re-engagement strategy. This phase focused on first-degree LinkedIn connections, people who already knew the brand or its founders but hadn’t taken recent action.





The messaging here was intentionally lighter and more conversational. Instead of selling the workshop, it reframed the invite as a reminder and an opportunity they might have missed. This significantly reduced friction and increased response rates, as recipients didn’t feel like they were being pitched again.





Phase 3: Using WhatsApp to Remove Conversion Friction





A key differentiator in this campaign was the use of WhatsApp as a secondary conversion layer. Once interest was signaled on LinkedIn, WhatsApp was used to make registration effortless.





This worked particularly well because:






It shortened the time between intent and action





It felt personal rather than promotional





It allowed direct access to the registration flow






By combining LinkedIn for credibility and WhatsApp for speed, we created a smooth handoff that maximized conversions without overwhelming the audience on any single platform.





Phase 4: Optimizing Messaging Based on Live Feedback





As registrations came in, we continuously refined messaging based on real replies and objections. Small adjustments to framing, timing, and follow-ups helped capture late responders and people who needed an extra nudge.





Rather than pushing urgency aggressively, we focused on relevance and clarity, which preserved brand trust while still driving action.





Results (Across Online Influence Institute Campaigns)





Across multiple campaigns, the outreach system delivered strong, measurable outcomes.





The campaigns generated hundreds of direct replies, consistent engagement across both LinkedIn and WhatsApp, and a large volume of workshop registrations. From the tracked data alone, the campaigns built a combined pipeline value of $34,000+ from the primary workshop push, with an additional $30,600 generated through re-engagement campaigns, all driven from a free workshop entry point.





More importantly, the campaigns proved that Online Influence Institute could reliably activate both large lead lists and warm LinkedIn connections using a repeatable system, rather than relying on one-off launches or ad spikes.





Why This Worked ?





This campaign succeeded because it respected the audience’s context. Instead of treating everyone as cold, we acknowledged existing relationships and familiarity. LinkedIn was used to re-open conversations, while WhatsApp was used to simplify action.





By combining platforms, refining messaging in real time, and focusing on activation rather than acquisition, the system delivered predictable registrations at scale.





Final Takeaway





This case study shows how workshops can be scaled without ads when distribution is treated as a system rather than a blast. By pairing smart re-engagement with frictionless conversion paths, we helped Online Influence Institute turn existing attention into real participation and pipeline impact.

---

## 25 potential conversions identified in pharmacy-owner outreach
URL: https://sbl.so/case-study/whatsapp-outreach-case-study-how-we-helped-a-healthcare-company-generate-lakhs-in-pipeline-by-targeting-pharmacy-owners-at-scale/
Industry: Healthcare & Wellness
Channel: WhatsApp

Targeted WhatsApp campaigns for a healthcare company serving pharmacy owners.

Reported results:
- 25 Potential conversions

Adapt this approach:
1. Build a list relevant to the offer and verify the professional role.
2. Explain the practical service or business benefit in a short first message.
3. Re-engage interested owners and record their actual next-step intent.

Reading the numbers: The source describes likely conversions, not confirmed customers. Its “2.5L” pipeline figure lacks an explicit currency, so no currency amount is promoted here. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Bharat TeleClinicIndustry: Healthcare / Medical TechnologyProduct: AI-powered telephonic medical assistantPrimary CTA: Bookings & product adoption via pharmacy ownersTarget Audience: Medical store & pharmacy owners (Maharashtra-focused)





The Problem





Bharat TeleClinic was building a unique healthcare product, a telephonic medical assistant that could answer basic health-related questions like a doctor. The product had clear value, but distribution was the real challenge.





Their ideal customers were medical store and pharmacy owners, a segment that is notoriously difficult to reach digitally. These owners are busy, highly skeptical, and rarely respond to generic marketing. Traditional inbound channels and ads were not effective enough, and the team needed a direct, scalable way to identify, reach, and convert pharmacy owners across Maharashtra.





The goal was not awareness alone. The objective was clear: identify verified pharmacy owners, start conversations, and drive bookings and product adoption, ultimately translating outreach into real revenue.





Our Approach (What We Actually Did)





We approached this as a precision targeting and execution problem, not a mass marketing campaign. Instead of trying to reach “healthcare professionals” broadly, we focused tightly on pharmacy owners, designing outreach that respected their role in the healthcare ecosystem.





The work was executed across multiple campaigns, each iteration refining targeting, messaging, and conversion flow. Rather than treating each campaign as isolated, we built them as progressive phases that learned from one another.





Phase 1: Identifying and Reaching Verified Pharmacy Owners





The first phase focused entirely on identification. We built lead lists specifically around pharmacy and medical store owners in Maharashtra, filtering aggressively to avoid generic healthcare roles. Messaging in this phase was simple and informational, designed to open conversations rather than sell.





This phase validated two things quickly: pharmacy owners were reachable through outbound when targeted correctly, and they were willing to engage if the message was relevant to their daily operations.





Phase 2: Improving Messaging for Trust and Clarity





Once early conversations started, we refined the messaging to better explain the product’s role. Instead of positioning it as “tech” or “AI,” the outreach framed the solution as a practical assistant that could help answer routine questions and reduce workload, without replacing doctors.





This subtle shift mattered. Trust increased, reply quality improved, and conversations became more intent-driven. Pharmacy owners began asking practical questions about usage, pricing, and patient flow rather than dismissing the outreach as promotional.





Phase 3: Scaling Outreach and Driving Bookings





With targeting and messaging aligned, we scaled the campaigns aggressively across Maharashtra. Larger outreach volumes were paired with structured follow-ups to ensure conversations didn’t stall. This phase focused on moving interested owners toward actual bookings and product discussions.





The result was a significant increase in engagement volume, with hundreds of replies and a steady stream of likely conversions. At this stage, outreach transitioned from experimentation into a repeatable acquisition channel.





Phase 4: Iteration, Re-Engagement, and Revenue Focus





In later campaigns, we re-engaged similar pharmacy segments with improved clarity and sharper CTAs. By this point, the system was mature enough to prioritize conversion over exploration, focusing on owners most likely to adopt the product.





This phase directly translated outreach into revenue, proving that even in a traditionally offline segment like pharmacy ownership, outbound could drive real business outcomes when executed with discipline.





Results (Across Bharat TeleClinic Campaigns)





Across multiple campaign cycles, Bharat TeleClinic achieved strong and consistent results.





The outreach efforts generated thousands of targeted reachouts, resulting in hundreds of meaningful replies and conversations with verified pharmacy owners. From these interactions, the campaigns identified 25 likely conversions, building a tracked pipeline value of 2.5L, with additional smaller pipelines generated in parallel campaigns.





Beyond the immediate numbers, the campaigns established a scalable and repeatable way for Bharat TeleClinic to acquire pharmacy partners without relying on ads or field sales alone.





Why This Worked ?





This campaign worked because it respected the audience. Pharmacy owners respond to relevance, practicality, and trust, not buzzwords. By narrowing the ICP, refining messaging around real-world utility, and scaling only after early validation, the outreach remained effective even at higher volumes.





The phased execution allowed learnings to compound instead of reset, turning outbound into a dependable growth lever rather than a one-time experiment.





Final Takeaway





This case study shows that outbound is not limited to SaaS or tech founders. Even in healthcare and offline-heavy markets, a well-executed outbound system can drive conversations, bookings, and real revenue.





By combining precise targeting, trust-first messaging, and disciplined scaling, we helped Bharat TeleClinic turn a complex product into a predictable acquisition engine.

---

## 184 prospects. No immediate conversions. What a cloud-services pilot taught us
URL: https://sbl.so/case-study/cold-outreach-case-study-how-we-ran-a-pilot-outbound-campaign-to-validate-demand-for-cloud-server-deployment-services/
Industry: Software, SaaS & AI
Channel: Outbound

A pilot for cloud-server deployment services; its lesson was a channel-and-offer limitation, not a sales win.

Reported results:
- 184 Prospects reached
- 0 Immediate conversions

Adapt this approach:
1. Start with a small, relevant list to test whether the offer earns interest.
2. Measure actual responses and conversions before increasing outreach volume.
3. If the pilot does not convert, reassess the first-touch channel and offer before scaling.

Reading the numbers: No immediate conversions were reported; this is a learning case, not evidence of a successful sales outcome. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: KloudBeanIndustry: Cloud Infrastructure / DevOps ServicesOffer: Cloud Server Deployment & SetupTarget Audience: Developers & Small-to-Mid BusinessesCampaign Type: Outbound pilot campaignPrimary CTA: Sales conversation / inquiry





The Problem





KloudBean provides cloud server deployment and infrastructure services for developers and businesses. While the technical offering was solid, the team wanted to explore whether outbound could work as a scalable acquisition channel for this type of service.





The challenge was that cloud infrastructure services sit in a high-context, timing-dependent market. Most potential buyers don’t actively look for server deployment help unless they are already in the middle of a migration, scale-up, or incident. This makes cold outbound inherently harder compared to more problem-aware markets.





The objective of this campaign was not aggressive growth, but demand validation:





Can outbound reliably surface conversations for cloud deployment services?





Our Approach (What We Actually Did)





We treated this engagement as a controlled pilot, designed to test market readiness rather than force conversions.





A focused outreach campaign was launched targeting developers and businesses likely to need cloud infrastructure support. Messaging was practical and direct, outlining KloudBean’s ability to help with deployment and setup without exaggeration or urgency tactics.





The goal was to observe:






Whether the audience recognized the problem immediately





How willing prospects were to engage proactively





Whether the timing aligned naturally through outbound






What We Observed During the Campaign ?





While the campaign achieved reach and visibility, engagement signals were limited. Responses were sparse, and conversations did not progress meaningfully toward sales discussions.





This outcome wasn’t due to execution errors, but rather market dynamics. Cloud deployment services tend to convert best when paired with:






Active migration triggers





Inbound problem awareness





Event-driven demand (scaling, outages, compliance changes)






Outbound alone, without these triggers, proved insufficient to generate strong intent at this stage.





Results (Pilot Campaign Outcome)





The pilot campaign reached 184 targeted prospects, generating limited engagement and no immediate conversions.





While direct results were minimal, the campaign delivered a clear and valuable outcome: outbound, as a standalone channel, was not the optimal first-touch strategy for this specific offer and audience.





This insight prevented wasted spend and time on premature scaling.





Why This Still Matters ?





This campaign was successful in the way good pilots are supposed to be, it produced clear signal.





Instead of forcing volume or misrepresenting traction, the data allowed KloudBean to make informed decisions about future growth strategies, such as:






Pairing outbound with inbound or content-led demand





Targeting event-based triggers rather than broad audiences





Using outbound later-stage, not as the first entry point






Final Takeaway





Not every campaign should be scaled and knowing what not to scale is a competitive advantage.





This case study demonstrates a disciplined approach to outbound: test quickly, learn honestly, and adapt strategy based on real market feedback. By running a focused pilot, we helped KloudBean avoid false positives and identify a more suitable path for customer acquisition.

---

## Turn workshop feedback into the next sales conversation
URL: https://sbl.so/case-study/whatsapp-outreach-case-study-how-we-boosted-webinar-attendees-and-converted-feedback-into-pipeline-for-the-cialdini-institute/
Industry: Education & Training
Channel: WhatsApp

Post-workshop WhatsApp re-engagement for an influence-education business.

Reported results:

Adapt this approach:
1. Ask attendees what they watched and found useful before introducing another offer.
2. Separate engaged viewers, partial viewers and people who missed the workshop.
3. Offer a strategy conversation or trial only after the reply shows interest.

Reading the numbers: The published story describes outcomes but does not provide numeric reply, call or trial counts. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Cialdini Institute (CII)Industry: Influence, Psychology & Online EducationOffer: Online Influence Workshop + Influence LabPrimary Objective: Re-engage workshop participants to gather feedback, book strategy calls, and convert high-intent users into product trials.





The Challenge





The Cialdini Institute regularly attracts thousands of professionals to its workshops on influence and persuasion. While registrations were strong, a familiar challenge emerged after the events:






Many attendees consumed the content but didn’t take the next step





Traditional follow-ups felt transactional and underperformed





Feedback collection was inconsistent





High-intent participants were not being systematically identified






The team needed a post-workshop engagement system that could:






Feel personal, not promotional





Re-open conversations at scale





Surface intent naturally





Create multiple conversion paths (feedback, calls, trials)






Our Initial Approach (What Didn’t Fully Work)





The first iteration focused on direct post-event outreach with a generic follow-up message asking attendees if they enjoyed the workshop and inviting them to explore next steps.





While replies came in, we noticed two problems:






Responses were often short and non-committal





Many people replied emotionally (“Loved it!”) but didn’t convert






The insight was clear:People were willing to talk, but not to be sold immediately.





The Strategic Shift: Conversation Before Conversion





We reframed the campaign entirely.





Instead of treating this as a conversion problem, we treated it as a conversation and validation problem.





Key Changes We Made





1. Feedback-First Messaging





We rewrote outreach to remove all sales pressure.The message focused purely on curiosity and improvement:





“Were you able to watch it? And more importantly — did you find it valuable?”





This unlocked honest, thoughtful replies and lowered resistance dramatically.





2. Updated ICP Segmentation





Based on early responses, we segmented participants into:






Active viewers with strong engagement





Partial viewers who needed a nudge





Missed attendees who still showed interest






Each segment received slightly adjusted follow-ups, rather than one blanket message.





3. Soft Conversion Paths





Only after engagement was established did we introduce optional next steps:






A free strategy conversation with Bas Wouters





Access to valuable Influence Lab resources





Trial-based exploration instead of hard CTAs






This allowed conversions to feel earned, not pushed.





4. Human, Conversational Tone





Every message was designed to feel like a real 1:1 check-in, not a campaign.Emojis, warmth, and openness played a key role in maintaining trust at scale.





Results





The re-engagement system delivered strong, measurable outcomes across multiple campaigns.





Beyond the numbers, the campaign proved something more important:






Feedback loops became a growth lever





High-intent participants were clearly identifiable





Strategy calls and trials emerged naturally from conversations





Brand trust was preserved while scaling engagement






Why This Worked





This campaign succeeded because it respected context and psychology.





Instead of assuming everyone was ready to buy, we:






Met participants where they were





Prioritized listening over pitching





Used conversation to qualify intent





Introduced conversion only when earned






By shifting from “follow-up” to “dialogue,” the Cialdini Institute turned post-workshop engagement into a repeatable pipeline system.





Final Takeaway





Workshops don’t fail because of weak content - they fail because engagement stops too early.





This case study shows how feedback-driven, conversational outreach can transform workshops from one-off events into long-term revenue and relationship engines — without ads, pressure, or trust erosion.

---

## Find the audience that responds: a fintech ICP-testing playbook
URL: https://sbl.so/case-study/linkedin-outreach-case-study-how-we-helped-jnn-group-hit-their-target-cta-by-systematically-testing-and-refining-multiple-icps/
Industry: Finance & Insurance
Channel: LinkedIn

LinkedIn outreach tested across several audience definitions, then refined through profile-level personalization.

Reported results:

Adapt this approach:
1. Test distinct buyer groups separately so their responses can be compared.
2. Narrow seniority, role and relevance using the responses from each test.
3. Personalize around professional context after identifying the strongest audience.

Reading the numbers: The source does not publish numeric results for this campaign group. The separate $60K fintech story is not treated as its result. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: JNN GroupIndustry: B2B ServicesPrimary CTA: Qualified conversations / meetingsPlatforms Used: LinkedIn outreachCampaign Style: Multi-ICP experimentation with progressive personalization





The Problem





JNN Group operates in a B2B environment where the right ICP matters more than raw volume. The challenge wasn’t whether outbound could work, but which audience it should work on best.





Early on, it was clear that a single, fixed ICP would be a limitation. The market was broad, decision-makers varied across roles, and different segments responded to different value propositions. Instead of forcing one audience definition, the real task was to discover the most responsive ICP through execution, not assumptions.





JNN Group needed a system that could:






Test multiple ICPs safely





Learn from real engagement data





Improve performance incrementally





Still move toward a concrete CTA outcome






Our Approach (What We Actually Did)





We approached this engagement as a structured ICP discovery and optimization exercise, not a one-shot campaign.





Rather than locking into a single audience, we ran outreach across multiple ICPs, treating each as a controlled experiment. Every campaign had the same high-level CTA, but differed in:






Target role or profile type





Value framing





Level of personalization






This allowed us to compare performance cleanly and compound learnings instead of resetting each time.





Phase 1: Broad ICP Testing to Establish Baselines





In the initial phase, we launched campaigns across multiple ICP definitions relevant to JNN Group’s offerings. The goal was not perfection, but signal.





Even at this stage, results were encouraging. Each ICP tested showed solid engagement, confirming that the market itself was responsive. More importantly, we began to see clear differences in reply quality, speed, and intent across segments.





This gave us a reliable baseline to improve from.





Phase 2: Gradual ICP Refinement Based on Live Data





With baseline performance established, we began narrowing focus toward the best-performing profiles. ICP definitions were tightened incrementally, adjusting seniority, function, and contextual relevance, rather than making drastic changes.





As the audience became more precise, engagement quality improved further. Replies became more conversational, objections became more specific, and CTA progression became smoother.





This phase proved that the issue was never demand, it was precision.





Phase 3: Profile-Level Personalization on LinkedIn





Once the strongest ICPs were identified, we layered in LinkedIn profile–level personalization. Instead of generic personalization tokens, messaging was adapted to reflect:






The prospect’s role context





Their professional positioning





Signals from their profile or activity






This shift had a noticeable impact. Conversations felt less like outreach and more like relevant peer engagement. CTA acceptance improved because prospects felt understood rather than targeted.





Results (Across JNN Group Campaigns)





Across the campaigns run for JNN Group, every ICP tested delivered positive engagement, a strong signal of market relevance.





As ICPs were refined and personalization deepened, performance improved consistently. The final iterations achieved the target CTA reliably, validating both the audience selection and the outreach system.





Rather than relying on a single lucky campaign, JNN Group ended up with:






Clear knowledge of which ICPs perform best





A repeatable process for refining targeting





A proven personalization framework that scales






Why This Worked ?





This campaign succeeded because we let execution drive strategy, not the other way around.





Instead of debating ICPs in theory, we tested them in the market. Instead of over-personalizing early, we earned the right to personalize by first narrowing the audience. Each improvement built on real data, allowing results to compound naturally.





Final Takeaway





This case study shows that strong outbound performance doesn’t come from guessing the perfect ICP upfront. It comes from systematic testing, disciplined refinement, and progressive personalization.





By running structured experiments across multiple ICPs and continuously improving targeting and messaging, we helped JNN Group achieve their CTA goals while building a scalable outbound framework they can reuse going forward.

---

## Four healthcare campaigns built around relevant education
URL: https://sbl.so/case-study/whatsapp-outreach-case-study-how-we-helped-a-hospital-drive-high-intent-health-screenings-using-data-led-outreach-and-smart-re-engagement/
Industry: Healthcare & Wellness
Channel: WhatsApp

Four campaigns across women’s health, preventive health and broader awareness topics.

Reported results:

Adapt this approach:
1. Choose a focused educational topic with a clear reason for contacting the audience.
2. Keep the message informative and offer an appropriate next step without diagnostic claims.
3. Re-engage people who expressed interest with context rather than repeating the first message.

Reading the numbers: The story uses qualitative descriptions such as “hundreds” and “dozens”; exact replies, screenings and booked consultations are not published. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Vinayaka HospitalIndustry: Healthcare / Hospital ServicesCampaign Objective: Awareness, screening participation, and qualified patient engagementAudience: Women, caregivers, and general publicCampaigns Run: 4 targeted outreach campaigns





The Problem





Vinayaka Hospital wanted to increase participation in preventive healthcare initiatives such as women’s health screenings, PCOS awareness, orthopedic health checks, and seasonal wellness education. While the hospital had access to patient and registration data, that data alone wasn’t converting into consistent engagement.





The challenge was twofold. First, healthcare outreach needs to be handled with sensitivity and trust, aggressive promotion would damage credibility. Second, broad public awareness campaigns often generate noise rather than qualified, high-intent participation. The hospital needed a way to activate the right people at the right time, using their existing data responsibly and effectively.





Our Approach (What We Actually Did)





We treated this as a quality-first healthcare engagement problem, not a marketing blast. Instead of pushing one generic message to everyone, we designed multiple campaigns around specific health contexts, each mapped to a relevant audience segment.





Crucially, we used hospital registration and historical data to guide targeting and re-engagement. This allowed outreach to feel familiar, relevant, and timely — rather than intrusive.





Phase 1: Women’s Health & PCOS Awareness (Pilot Validation)





We began with focused outreach around PCOS and women’s health screenings, targeting women and caregivers who were already contextually aligned with the topic. Messaging was educational and supportive, emphasizing awareness and early screening rather than diagnosis or urgency.





This pilot phase quickly validated the approach. Engagement rates were strong, and responses reflected genuine interest rather than passive clicks. The hospital began seeing real screening intent, confirming that data-led targeting could work effectively in a healthcare setting.





Phase 2: Scaling with Refined Re-Engagement





After early success, we ran a second PCOS and women’s health campaign, this time re-engaging people who had shown interest earlier or shared similar demographic signals. Because the audience was already warm, engagement became more efficient, and response quality improved further.





This phase demonstrated the power of sequenced healthcare outreach, where relevance compounds over time instead of resetting with each campaign.





Phase 3: Expanding to Orthopedic & Preventive Health Topics





With the system validated, we expanded into other preventive health areas such as joint pain, vitamin D awareness, and orthopedic consultations. These campaigns targeted individuals likely to resonate with mobility and lifestyle-related health concerns.





Again, messaging stayed non-promotional and focused on awareness, symptoms, and when screening might be useful. This approach ensured high trust and avoided unnecessary drop-offs.





Phase 4: Broad Public Engagement Through Interactive Education





To complement condition-specific campaigns, we also ran a general public outreach using an interactive winter health myths quiz. This campaign served as a lighter entry point, encouraging participation through education rather than screening pressure.





This helped widen the engagement funnel while still keeping interactions meaningful and aligned with the hospital’s brand.





Results (Across Vinayaka Hospital Campaigns)





Across four campaigns, Vinayaka Hospital achieved consistent and measurable engagement.





The outreach generated hundreds of targeted reachouts, with strong acceptance and response rates across all health themes. Women’s health and PCOS campaigns produced particularly high engagement, including multiple confirmed screening participations and qualified follow-up conversations.





The pilot women’s health campaign triggered large-scale participation across the target audience, driving dozens of screening actions and sustained follow-up interest, while subsequent campaigns expanded engagement into the hundreds of qualified patient interactions. Beyond individual screenings, the hospital unlocked a repeatable outreach engine capable of activating historical registration data responsibly, transforming preventive health awareness into consistent, measurable patient engagement.





Why This Worked ?





This case study worked because it respected healthcare realities. Messaging was educational, not promotional. Targeting was data-informed, not broad. Re-engagement was intentional, not repetitive.





By aligning each campaign with a specific health context and using hospital registration data to guide relevance, engagement felt personal and trustworthy, critical factors in healthcare decision-making.





Final Takeaway





This case study shows that hospitals don’t need aggressive marketing to drive participation. With the right data, thoughtful messaging, and structured re-engagement, preventive healthcare outreach can be both ethical and effective.





By combining quality lead selection with context-driven campaigns, we helped Vinayaka Hospital turn awareness into real health action, building long-term trust alongside measurable outcomes.

---

## Test demo interest before scaling a software outreach campaign
URL: https://sbl.so/case-study/linkedin-outreach-case-study-how-we-validated-demand-and-booked-high-intent-demo-conversations-through-a-successful-pilot-campaign/
Industry: Software, SaaS & AI
Channel: LinkedIn

A controlled LinkedIn pilot tested several audiences and a WhatsApp-automation product angle.

Reported results:

Adapt this approach:
1. Start with a specific use case and a straightforward demo invitation.
2. Test audience segments separately rather than combining all responses.
3. Refine the use case and next step using the questions prospects actually ask.

Reading the numbers: Demo interest is reported, but exact reply, acceptance and booked-demo counts are not published. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: PeriskopeIndustry: SaaS / WhatsApp AutomationCampaign Objective: Demo setup & early demand validationCampaign Type: Pilot outbound campaignsPrimary CTA: Book a demo





The Problem





Periskope offers a WhatsApp automation solution designed for modern teams that want to scale customer communication. While the product had clear value, the team wanted to validate outbound as a predictable acquisition channel before committing to large-scale rollout.





The goal was not aggressive scaling or revenue optimization at this stage. Instead, Periskope needed a low-risk pilot that could answer a few critical questions:






Will the right audience engage via outbound?





Can we start meaningful demo conversations?





Does the positioning resonate across different segments?






Our Approach (What We Actually Did)





We approached this engagement deliberately as a pilot experiment, not a full-scale deployment. Multiple small campaigns were launched, each targeting a slightly different audience segment and messaging angle, while keeping the CTA consistent, demo setup.





This allowed us to test demand across use cases without overloading any single campaign or risking account health.





Phase 1: Initial Pilot to Test Core Interest





The first campaigns focused on quickly validating whether prospects would respond to demo-oriented outreach. Messaging was direct and practical, designed to surface interest rather than persuade skeptics.





These campaigns immediately showed positive signals. Acceptance rates were healthy, replies came in consistently, and demo-related conversations started without heavy follow-ups. This confirmed that the problem Periskope solved was both relevant and timely for the target audience.





Phase 2: Segment-Based Testing to Refine Fit





Once early validation was clear, we expanded the pilot into additional segments, including finance and mid-to-senior professionals. Each segment was approached with slightly adjusted messaging while maintaining the same core value proposition.





This helped identify which segments responded most strongly and where demo conversations were easiest to initiate. The focus remained on learning and validation, not volume.





Phase 3: WhatsApp Automation–Focused Outreach





In later pilot campaigns, outreach leaned more heavily into the WhatsApp automation angle itself. Messaging became more product-specific, inviting prospects to see the tool in action rather than explaining it abstractly.





This shift further improved reply quality, as prospects engaging at this stage were already aware of the problem and curious about implementation rather than concept.





Results (Across Pilot Campaigns)





Across multiple pilot campaigns, Periskope achieved strong early indicators of outbound success.





The campaigns generated hundreds of targeted reachouts, with consistently healthy acceptance rates and dozens of meaningful replies tied directly to demo interest. Conversations progressed naturally toward demo setup without aggressive pushing, validating both the messaging and the CTA.





Most importantly, the pilot confirmed that outbound could reliably generate demo conversations across multiple segments, exactly the signal needed before scaling.





Why This Worked ?





This pilot worked because it was treated as an experiment, not a shortcut. Instead of forcing volume, we tested fit. Instead of locking into one message, we learned from multiple variations.





By keeping the scope controlled and the CTA clear, the campaigns produced clean signal without noise, allowing Periskope to make confident decisions about outbound as a growth channel.





Final Takeaway





This case study shows how outbound should be launched: carefully, deliberately, and with clear success criteria.





By running a structured pilot campaign, we helped Periskope validate demand, start real demo conversations, and build confidence to scale outbound without unnecessary risk.

---

## A two-stage healthcare follow-up that builds on earlier interest
URL: https://sbl.so/case-study/linkedin-cold-outreach-case-study-how-we-built-a-two-stage-nurture-re-engagement-engine-for-a-healthcare-brand-to-drive-consistent-conversations/
Industry: Healthcare & Wellness
Channel: LinkedIn

A nurture campaign followed by re-engagement of people who had already responded.

Reported results:

Adapt this approach:
1. Begin with a relevant connection or nurture message without a hard sales ask.
2. Separate interested respondents from people who need more time.
3. Acknowledge the previous interaction when introducing the next conversation.

Reading the numbers: The source reports two campaigns but no exact acceptance, reply or sales totals. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: ClinikkIndustry: HealthcareCampaign Objective: Nurture, reconnect, and start qualified conversationsCampaigns Run: 2 sequential nurture & re-engagement campaigns





The Problem





Clinikk operates in the healthcare space, where trust, timing, and familiarity matter far more than aggressive selling. The audience is naturally cautious, and most prospects are not ready to convert immediately when first contacted. A direct pitch-first approach would have damaged trust and reduced long-term engagement.





The challenge was not lead generation, but lead readiness.





Clinikk needed a way to:






Warm up the right set of people





Build familiarity without pressure





Re-engage only those who showed intent





Turn passive interest into real conversations






Our Approach (What We Actually Did)





Instead of treating outbound as a one-step conversion channel, we designed this as a two-stage nurture system. The idea was simple but deliberate: first build context and familiarity, then re-approach only those who had already shown signals of interest.





This ensured the second campaign felt natural, relevant, and timely, not repetitive or spammy.





Phase 1: Targeted Nurture Without Selling





In the first campaign, we focused purely on nurture and connection, not conversion. The outreach targeted a carefully selected group of professionals and avoided any hard CTA.





The messaging was designed to:






Introduce Clinikk in a low-friction way





Establish relevance within healthcare





Encourage light engagement rather than decisions






This phase successfully opened conversations and allowed us to identify who was receptive versus who needed more time. Importantly, it filtered out disinterested contacts without burning goodwill.





Phase 2: Re-Targeting Interested Leads for Deeper Engagement





In the second campaign, we re-targeted only the audience that had shown interest or engagement in the first phase. Instead of restarting the conversation, the messaging acknowledged prior interaction and built on it.





Because the audience was already warmed up, responses came faster and with higher intent. Conversations felt more natural, and prospects were more willing to engage meaningfully rather than respond out of curiosity.





This re-engagement strategy turned early signals into tangible conversations, proving the value of sequencing rather than volume.





Results (Across Both Clinikk Campaigns)





Across the two campaigns, the system demonstrated strong engagement and compounding performance.





The first nurture campaign generated consistent acceptances and replies, laying the groundwork for segmentation. The second re-engagement campaign showed a clear uplift in reply quality, with higher response concentration among previously engaged leads.





Together, the campaigns produced:






Hundreds of targeted reachouts





Strong acceptance rates





Meaningful replies from healthcare-aligned professionals





Clear evidence that re-targeted outreach outperformed first-touch messaging






While these campaigns were not designed for immediate revenue, they successfully created a warm, engagement-ready audience that Clinikk could continue to nurture through downstream channels.





Why This Worked ?





This campaign worked because it respected healthcare buying behavior. Instead of forcing urgency, it built familiarity. Instead of re-blasting the same message, it re-engaged intelligently.





By sequencing outreach and letting intent guide follow-ups, the system allowed engagement to compound rather than reset, a critical advantage in trust-sensitive industries like healthcare.





Final Takeaway





This case study highlights the power of nurture-first outbound. When outreach is treated as a relationship-building system instead of a one-time push, engagement quality improves dramatically.





By designing a two-stage nurture and re-engagement flow, we helped Clinikk build a reliable foundation for long-term conversations, without sacrificing trust or brand integrity.

---

## Seven campaigns to refine a specialist electronics offer
URL: https://sbl.so/case-study/linkedin-outreach-case-study-how-we-built-a-meeting-driven-outbound-engine-for-an-electronics-company-and-then-scaled-it-for-their-ai-product-launch/
Industry: Software, SaaS & AI
Channel: LinkedIn

A sequence of electronics, lead-quality and AI-product outreach campaigns.

Reported results:

Adapt this approach:
1. Check whether the list contains the actual technical decision-makers before rewriting copy.
2. Use a relevant technical use case and a clear meeting or demo invitation.
3. Retest a sharper product angle with the audience insights from earlier campaigns.

Reading the numbers: The source reports seven campaigns and qualitative demo interest, not an exact booked-meeting total. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: Lectrix / InterferenceTechnologyIndustry: Electronics / EMI–EMC Components & ToolsPrimary CTA: Book a meeting / product demoCampaigns Run: 7 outbound campaigns across multiple phases





The Problem





Lectrix (InterferenceTechnology) operates in a highly specialized and technical domain, EMI/EMC components and solutions for electronics manufacturers. Their target buyers were not generic business users, but decision-makers inside component manufacturing companies, including engineering leaders and technical stakeholders.





This created two immediate challenges.





First, lead discovery itself was difficult. Unlike SaaS or general B2B, electronics decision-makers are harder to identify, poorly labeled on LinkedIn, and often buried inside complex organizational structures. LinkedIn was the primary viable channel, but the data quality for this niche was inconsistent.





Second, the CTA was high-friction by nature. The goal was not content downloads or sign-ups, but booking meetings and demos for complex products, something that requires trust, relevance, and timing.





Our Approach (What We Actually Did)





Instead of assuming a single campaign would work, we treated Lectrix as a multi-phase outbound engagement. The strategy was intentionally iterative: test, learn, fix structural problems, and then scale only once the fundamentals were right.





In total, we ran 7 campaigns, grouped across three strategic phases:






Initial electronics product outreach





Lead quality and targeting correction





AI product re-targeting using learned data






Phase 1: Electronics Product Outreach (Early Validation & Reality Check)





The first set of campaigns focused on Lectrix’s core electronics offerings, targeting EMI/EMC component manufacturers and decision-makers. Messaging was technical, direct, and demo-oriented, designed to introduce the product and invite conversations around virtual FAE demos and AI-assisted search tools.





While these campaigns did generate replies and initial conversations, they also surfaced a key issue early on: lead sourcing was the bottleneck, not messaging. Even strong copy cannot compensate for poorly matched leads in a niche this specific.





Rather than forcing scale prematurely, we paused to reassess the input, the lead data itself.





Phase 2: Fixing the Hard Part, Lead Quality in a Niche Market





At this stage, the focus shifted away from copywriting and toward solving the structural problem: identifying the right electronics decision-makers on LinkedIn.





We refined targeting logic, introduced tighter filters, and rebuilt lead lists with far greater precision. This dramatically improved relevance. Subsequent campaigns showed better acceptance rates, more meaningful replies, and clearer demo intent, even when overall volumes remained conservative.





This phase was critical. It ensured that future outreach would compound instead of stall.





Phase 3: Pivoting to AI Tools & Re-Targeting the Same Market





Once the electronics outreach foundation was in place, Lectrix introduced a new angle, AI-powered tools designed to support EMI/EMC workflows, including AI search and virtual FAE capabilities.





Instead of starting from scratch, we re-targeted the same refined audience, now with a more compelling and modern CTA. The AI positioning lowered friction, sparked curiosity, and reframed Lectrix not just as a component provider, but as a technology-forward solution partner.





This shift produced noticeably stronger engagement. Prospects who were previously cold or neutral responded more positively to the AI-led messaging, and demo conversations became easier to initiate because the value proposition was clearer and more differentiated.





Results (Across All Lectrix Campaigns)





Across seven campaigns, Lectrix successfully established a repeatable outbound motion for booking meetings and demos in a difficult, high-skill market.





The campaigns generated:






Hundreds of targeted reachouts to EMI/EMC decision-makers





Consistent connection acceptance despite a niche audience





Dozens of meaningful replies tied directly to demo interest





Improved reply quality after lead refinement





Stronger engagement after pivoting to AI-focused messaging






While not every campaign delivered immediate volume, each iteration improved either data quality, audience alignment, or CTA effectiveness. By the final phase, outreach performance was meaningfully stronger than the initial electronics-only attempts.





Why This Worked ?





This engagement succeeded because we didn’t treat outbound as a one-shot activity. Instead of blaming copy or pushing volume, we identified and fixed the real constraint, lead quality in a niche market.





Once the foundation was corrected, re-targeting the same audience with a sharper AI-led message created a second wave of engagement that outperformed the initial campaigns. The work compounded instead of resetting.





Final Takeaway





This case study shows how outbound can work even in hard, technical industries like electronics, if execution is disciplined and adaptive.





By solving lead discovery, iterating intelligently, and leveraging a strategic pivot to AI positioning, we helped Lectrix build a meeting-driven outbound engine that could support both their traditional electronics products and their next-generation AI tools.

---

## A five-campaign approach to Europe-focused career conversations
URL: https://sbl.so/case-study/linkedin-cold-outreach-case-study-how-we-built-a-high-intent-lead-engine-for-a-topmate-creator-helping-professionals-move-to-europe-germany-focused/
Industry: Recruitment & Careers
Channel: LinkedIn

A sequence of audience refinement, personalization and follow-up for professionals exploring European careers.

Reported results:

Adapt this approach:
1. Distinguish casual exploration from people actively considering a move.
2. Personalize around professional background and the career decision being considered.
3. Use follow-ups to clarify the next step without false urgency.

Reading the numbers: Published response figures mix several creators and campaign groups. They cannot be attributed as an exact result for this one case. Figures are reported in the published story, not independently re-audited here.

Original case study:
Client: TopmateCreator Type: Hiring & Career Consultant (Europe / Germany)Campaigns Run: 5 outbound campaigns focused on lead qualification and mobile number collection





The Problem





One of the creators on Topmate was helping professionals explore job opportunities in Europe, with a strong focus on Germany. The offer was consulting- and hiring-oriented, meaning success depended heavily on lead quality, not just volume. Unlike a typical course or webinar funnel, this business required serious, high-intent professionals who were genuinely considering relocation and international careers.





The challenge was that inbound interest was fragmented and unreliable. Organic content brought curiosity but not always commitment. Paid ads attracted a wide audience, but most leads were poorly qualified and difficult to convert later. What the creator needed was a way to systematically identify, filter, and capture serious prospects, starting with direct contact information, before moving them into deeper consulting conversations.





Our Approach (What We Actually Did)





We treated this engagement as a lead-quality optimization problem, not a pure outreach problem. Instead of chasing immediate revenue, the goal was to build a clean, intent-rich lead pool that the creator could later monetize through consulting, placements, and long-term advisory services.





The strategy was executed across five campaigns, each iteration deliberately improving either lead quality, message relevance, or response intent.





Phase 1: Broad Outreach with Simple Qualification Messaging





We began with a simple, broad outreach approach aimed at professionals who had shown some interest in European jobs. The initial messaging was intentionally straightforward, focusing on identifying people who were exploring or actively considering Europe-based opportunities. The objective here was not to sell, but to test how many professionals would self-identify as interested enough to share their mobile number.





These early campaigns helped us map the response landscape. While engagement existed, it became clear that many respondents were still in a vague “exploration” phase rather than being genuinely ready for hiring or consulting conversations. This phase gave us volume and insight, but also highlighted a critical gap in lead quality.





Phase 2: Improving Lead Quality Through Better Targeting





Based on the learnings from the first campaigns, we shifted focus from messaging to lead quality itself. We refined targeting using more precise professional filters and stronger intent signals, ensuring outreach reached people who were already thinking seriously about international careers rather than casually browsing.





This improvement alone had a visible impact. Response rates became more meaningful, and the percentage of leads willing to share their mobile numbers increased. The conversations felt more grounded, with professionals asking specific questions about visas, job markets, and relocation realities instead of generic “how does this work” queries.





Phase 3: Personalization for Serious Professionals





Once lead quality was under control, we introduced personalized messaging at scale. Instead of generic outreach, messages were framed around the recipient’s professional background and career stage. The tone shifted to feel more like a one-to-one consulting outreach rather than a mass campaign.





This change was crucial for a Germany- and Europe-focused audience, where trust and seriousness matter far more than hype. The messaging positioned the creator not as a promoter, but as a guide helping professionals assess whether Europe was the right move for them. As a result, mobile number sharing became more intentional, with fewer low-quality leads entering the funnel.





Phase 4: Follow-Ups Designed for Commitment, Not Pressure





Follow-ups in this campaign were designed differently from traditional outbound. Instead of pushing urgency, they reinforced clarity. Each follow-up reminded prospects why the outreach was relevant to their specific situation and reassured them that sharing contact details was simply the first step toward informed decision-making.





This approach worked particularly well for professionals making high-stakes career decisions. The follow-ups didn’t feel like sales nudges; they felt like thoughtful check-ins, which significantly improved response recovery without damaging trust.





Results (Across All 5 Campaigns)





Across multiple live campaigns run for creators on Topmate, the outbound system consistently generated a high volume of qualified registrations, conversations, and webinar-driven engagement from professionals actively exploring European and Germany-based career opportunities.





Over the course of the campaigns, thousands of LinkedIn connections were sent, with acceptance rates consistently landing in a healthy range. As the campaigns scaled, reply volume increased steadily rather than dropping off, indicating that both targeting and messaging were resonating strongly with the audience. In the most active phases, individual creator campaigns alone generated hundreds of net replies, with some campaigns crossing 400–600 direct responses from professionals.





These replies were not passive acknowledgements. A significant portion of respondents progressed into webinar registrations, WhatsApp redirections, or queued follow-ups for future sessions. Daily campaign updates showed sustained momentum, with some single-day campaign snapshots recording over 100 positive replies. As outreach expanded across multiple creators simultaneously, combined net replies crossed well over 1,000+, creating a strong inflow of high-intent professionals into the Topmate ecosystem.





At scale, the campaigns delivered:






Thousands of connection requests sent safely within LinkedIn limits





Hundreds of acceptances per creator





Consistently high net reply counts across Gurpreet-, Shalini-, and Anuj-led campaigns





A continuously replenished queue of qualified leads ready for webinar registration and follow-up






Importantly, the campaigns were paused and resumed strategically in line with LinkedIn’s safety thresholds. These intentional pauses ensured account health while preserving reply momentum. Once restrictions were reset, outreach resumed smoothly, with engagement levels remaining stable, a strong signal that performance was driven by message relevance and audience intent, not short-term spikes.





By the end of the campaign cycles, the creators had access to a predictable, repeatable system for driving webinar registrations and high-quality engagement, eliminating reliance on inconsistent organic reach or expensive paid ads. The real outcome was not immediate monetization, but sustained demand generation, a steady flow of professionals actively raising their hands to learn more, attend sessions, and engage deeper with the creator’s consulting and hiring ecosystem.





Final Takeaway





This case study wasn’t about instant revenue. It was about building a high-intent professional lead engine for a Germany- and Europe-focused hiring consultant. By prioritizing lead quality, trust, and relevance, we helped the creator create a predictable pipeline of serious prospects, something far more valuable than short-term spikes in attention.

---

## 56 contacts replied from 224 reached: LinkedIn lead nurturing for tax software
URL: https://sbl.so/case-study/linkedin-linkedin-lead-nurturing-for-tax-software-cs001/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering GST bulk-download software trial after a free automation class to Tax professionals who commented on or registered for a masterclass. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 56 Contacts who replied (14 days)
- 224 Contacts reached
- 25.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Tax professionals who commented on or registered for a masterclass.
2. Make one offer easy to understand: GST bulk-download software trial after a free automation class.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
56 of 224 contacts replied within 14 days — a 25.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around GST bulk-download software trial after a free automation class. Its intended audience was Tax professionals who commented on or registered for a masterclass.

The useful message-design angle is Follow a training interaction with a time-limited software trial relevant to the attendee's work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 February 2026 to 27 February 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

224 contact records were reached through qualifying delivered or read outreach.

56 contacts replied within 14 days, equivalent to 25.0% of the measured cohort.

The cohort contained 451 outbound messages and 91 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 56 responding contacts, 38 replied within 24 hours and 56 within seven days. The median time to a first reply was about 11.4 hours, measured only among contacts who replied.

133 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Tax professionals who commented on or registered for a masterclass.

Make one offer easy to understand: GST bulk-download software trial after a free automation class.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: GST bulk-download software trial after a free automation class. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 55 contacts replied from 125 reached: LinkedIn outreach for DevOps training
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-devops-training-cs002/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Practical live DevOps cohort to Engineers learning DevOps who struggle to connect tools with real projects. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 55 Contacts who replied (14 days)
- 125 Contacts reached
- 44.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Engineers learning DevOps who struggle to connect tools with real projects.
2. Make one offer easy to understand: Practical live DevOps cohort.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
55 of 125 contacts replied within 14 days — a 44.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Practical live DevOps cohort. Its intended audience was Engineers learning DevOps who struggle to connect tools with real projects.

The useful message-design angle is Start with the gap between learning individual tools and understanding production workflows. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 April 2026 to 29 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

125 contact records were reached through qualifying delivered or read outreach.

55 contacts replied within 14 days, equivalent to 44.0% of the measured cohort.

The cohort contained 338 outbound messages and 108 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 55 responding contacts, 36 replied within 24 hours and 53 within seven days. The median time to a first reply was about 9.4 hours, measured only among contacts who replied.

60 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Engineers learning DevOps who struggle to connect tools with real projects.

Make one offer easy to understand: Practical live DevOps cohort.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Practical live DevOps cohort. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 15 contacts replied from 72 reached: LinkedIn lead generation for freelance finance services
URL: https://sbl.so/case-study/linkedin-linkedin-lead-generation-for-freelance-finance-services-cs003/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Monthly freelance finance support to Small-business owners in Surrey and Essex. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 15 Contacts who replied (14 days)
- 72 Contacts reached
- 20.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small-business owners in Surrey and Essex.
2. Make one offer easy to understand: Monthly freelance finance support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
15 of 72 contacts replied within 14 days — a 20.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Monthly freelance finance support. Its intended audience was Small-business owners in Surrey and Essex.

The useful message-design angle is Use a simple connection conversation to introduce ongoing finance support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 June 2026 to 3 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

72 contact records were reached through qualifying delivered or read outreach.

15 contacts replied within 14 days, equivalent to 20.8% of the measured cohort.

The cohort contained 93 outbound messages and 35 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 15 responding contacts, 10 replied within 24 hours and 15 within seven days. The median time to a first reply was about 3.5 hours, measured only among contacts who replied.

11 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Small-business owners in Surrey and Essex.

Make one offer easy to understand: Monthly freelance finance support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Monthly freelance finance support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 98 reached: LinkedIn outreach for bookkeeping services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-bookkeeping-services-cs004/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Bookkeeping support with a no-obligation introductory conversation to UK small-business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 98 Contacts reached
- 23.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK small-business owners.
2. Make one offer easy to understand: Bookkeeping support with a no-obligation introductory conversation.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 98 contacts replied within 14 days — a 23.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Bookkeeping support with a no-obligation introductory conversation. Its intended audience was UK small-business owners.

The useful message-design angle is Frame an approachable bookkeeping offer around the service expectations of smaller firms. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 7 August 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

98 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 23.5% of the measured cohort.

The cohort contained 237 outbound messages and 23 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 15 replied within 24 hours and 20 within seven days. The median time to a first reply was about 5.8 hours, measured only among contacts who replied.

78 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: UK small-business owners.

Make one offer easy to understand: Bookkeeping support with a no-obligation introductory conversation.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Bookkeeping support with a no-obligation introductory conversation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 215 contacts replied from 581 reached: LinkedIn outreach for fractional CFO services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-fractional-cfo-services-cs005/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Fractional CFO support and monthly reporting to SME founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 215 Contacts who replied (14 days)
- 581 Contacts reached
- 37.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: SME founders.
2. Make one offer easy to understand: Fractional CFO support and monthly reporting.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
215 of 581 contacts replied within 14 days — a 37.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Fractional CFO support and monthly reporting. Its intended audience was SME founders.

The useful message-design angle is Begin with the business owner's current situation before proposing finance support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

581 contact records were reached through qualifying delivered or read outreach.

215 contacts replied within 14 days, equivalent to 37.0% of the measured cohort.

The cohort contained 1,506 outbound messages and 344 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 215 responding contacts, 129 replied within 24 hours and 185 within seven days. The median time to a first reply was about 5.8 hours, measured only among contacts who replied.

421 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: SME founders.

Make one offer easy to understand: Fractional CFO support and monthly reporting.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Fractional CFO support and monthly reporting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 27 contacts replied from 95 reached: LinkedIn outreach for AI product development
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-product-development-cs006/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI product and website development support to Solo and nontechnical founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 27 Contacts who replied (14 days)
- 95 Contacts reached
- 28.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Solo and nontechnical founders.
2. Make one offer easy to understand: AI product and website development support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
27 of 95 contacts replied within 14 days — a 28.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI product and website development support. Its intended audience was Solo and nontechnical founders.

The useful message-design angle is Discuss what a founder wants to build before introducing implementation help. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 16 September 2026 to 28 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

95 contact records were reached through qualifying delivered or read outreach.

27 contacts replied within 14 days, equivalent to 28.4% of the measured cohort.

The cohort contained 175 outbound messages and 54 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 27 responding contacts, 14 replied within 24 hours and 23 within seven days. The median time to a first reply was about 20.9 hours, measured only among contacts who replied.

22 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Solo and nontechnical founders.

Make one offer easy to understand: AI product and website development support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI product and website development support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 47 contacts replied from 194 reached: LinkedIn networking for remote AI jobs
URL: https://sbl.so/case-study/linkedin-linkedin-networking-for-remote-ai-jobs-cs007/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Applied AI and machine-learning engineering expertise to US hiring decision-makers considering remote engineers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 47 Contacts who replied (14 days)
- 194 Contacts reached
- 24.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US hiring decision-makers considering remote engineers.
2. Make one offer easy to understand: Applied AI and machine-learning engineering expertise.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
47 of 194 contacts replied within 14 days — a 24.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Applied AI and machine-learning engineering expertise. Its intended audience was US hiring decision-makers considering remote engineers.

The useful message-design angle is Introduce relevant applied engineering experience through a personal connection. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

194 contact records were reached through qualifying delivered or read outreach.

47 contacts replied within 14 days, equivalent to 24.2% of the measured cohort.

The cohort contained 408 outbound messages and 67 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 47 responding contacts, 13 replied within 24 hours and 38 within seven days. The median time to a first reply was 3.7 days, measured only among contacts who replied.

75 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: US hiring decision-makers considering remote engineers.

Make one offer easy to understand: Applied AI and machine-learning engineering expertise.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Applied AI and machine-learning engineering expertise. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 95 contacts replied from 439 reached: LinkedIn outreach for private aviation partnerships
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-private-aviation-partnerships-cs008/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Private aviation marketplace partnership to Luxury travel agencies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 95 Contacts who replied (14 days)
- 439 Contacts reached
- 21.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Luxury travel agencies.
2. Make one offer easy to understand: Private aviation marketplace partnership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
95 of 439 contacts replied within 14 days — a 21.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Private aviation marketplace partnership. Its intended audience was Luxury travel agencies.

The useful message-design angle is Position private-flight access as an addition to an agency's existing client relationship. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 28 May 2026 to 4 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

439 contact records were reached through qualifying delivered or read outreach.

95 contacts replied within 14 days, equivalent to 21.6% of the measured cohort.

The cohort contained 1,086 outbound messages and 152 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 95 responding contacts, 36 replied within 24 hours and 73 within seven days. The median time to a first reply was 2.2 days, measured only among contacts who replied.

284 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Luxury travel agencies.

Make one offer easy to understand: Private aviation marketplace partnership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Private aviation marketplace partnership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 29 contacts replied from 90 reached: LinkedIn partnerships for corporate travel services
URL: https://sbl.so/case-study/linkedin-linkedin-partnerships-for-corporate-travel-services-cs009/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering White-label private aviation marketplace partnership to Corporate travel management companies and travel platforms. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 29 Contacts who replied (14 days)
- 90 Contacts reached
- 32.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Corporate travel management companies and travel platforms.
2. Make one offer easy to understand: White-label private aviation marketplace partnership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
29 of 90 contacts replied within 14 days — a 32.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around White-label private aviation marketplace partnership. Its intended audience was Corporate travel management companies and travel platforms.

The useful message-design angle is Explore how flight access could fit a corporate travel intermediary's service stack. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 July 2026 to 4 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

90 contact records were reached through qualifying delivered or read outreach.

29 contacts replied within 14 days, equivalent to 32.2% of the measured cohort.

The cohort contained 203 outbound messages and 44 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 29 responding contacts, 16 replied within 24 hours and 24 within seven days. The median time to a first reply was about 3.5 hours, measured only among contacts who replied.

71 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Corporate travel management companies and travel platforms.

Make one offer easy to understand: White-label private aviation marketplace partnership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: White-label private aviation marketplace partnership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 14 contacts replied from 56 reached: LinkedIn outreach for executive wellness
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-executive-wellness-cs010/
Industry: Healthcare & Wellness
Channel: LinkedIn

An anonymized LinkedIn campaign offering Integrative wellness discovery conversations to Executives and high-performing professionals in Brazil. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 14 Contacts who replied (14 days)
- 56 Contacts reached
- 25.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Executives and high-performing professionals in Brazil.
2. Make one offer easy to understand: Integrative wellness discovery conversations.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
14 of 56 contacts replied within 14 days — a 25.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Integrative wellness discovery conversations. Its intended audience was Executives and high-performing professionals in Brazil.

The useful message-design angle is Open a conversation about executive strain before introducing a wellness service. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 April 2026 to 18 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

56 contact records were reached through qualifying delivered or read outreach.

14 contacts replied within 14 days, equivalent to 25.0% of the measured cohort.

The cohort contained 105 outbound messages and 21 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 14 responding contacts, 9 replied within 24 hours and 12 within seven days. The median time to a first reply was about 7.5 hours, measured only among contacts who replied.

44 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Executives and high-performing professionals in Brazil.

Make one offer easy to understand: Integrative wellness discovery conversations.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Integrative wellness discovery conversations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 11 contacts replied from 55 reached: LinkedIn outreach for SaaS explainer videos
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-saas-explainer-videos-cs011/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Product explainer video production to SaaS founders and CEOs. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 11 Contacts who replied (14 days)
- 55 Contacts reached
- 20.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: SaaS founders and CEOs.
2. Make one offer easy to understand: Product explainer video production.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
11 of 55 contacts replied within 14 days — a 20.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Product explainer video production. Its intended audience was SaaS founders and CEOs.

The useful message-design angle is Use the prospect's product and recent activity to start a discussion about video needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 June 2026 to 22 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

55 contact records were reached through qualifying delivered or read outreach.

11 contacts replied within 14 days, equivalent to 20.0% of the measured cohort.

The cohort contained 175 outbound messages and 21 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 11 responding contacts, 5 replied within 24 hours and 9 within seven days. The median time to a first reply was about 27.7 hours, measured only among contacts who replied.

47 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: SaaS founders and CEOs.

Make one offer easy to understand: Product explainer video production.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Product explainer video production. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 20 contacts replied from 74 reached: LinkedIn lead generation for automotive marketing agencies
URL: https://sbl.so/case-study/linkedin-linkedin-lead-generation-for-automotive-marketing-agencies-cs012/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Email and LinkedIn marketing services to UK automotive remarketing and dealership suppliers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 20 Contacts who replied (14 days)
- 74 Contacts reached
- 27.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK automotive remarketing and dealership suppliers.
2. Make one offer easy to understand: Email and LinkedIn marketing services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
20 of 74 contacts replied within 14 days — a 27.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Email and LinkedIn marketing services. Its intended audience was UK automotive remarketing and dealership suppliers.

The useful message-design angle is Connect a specialist marketing service to the commercial needs of automotive suppliers. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 April 2026 to 5 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

74 contact records were reached through qualifying delivered or read outreach.

20 contacts replied within 14 days, equivalent to 27.0% of the measured cohort.

The cohort contained 204 outbound messages and 39 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 20 responding contacts, 9 replied within 24 hours and 20 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

59 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: UK automotive remarketing and dealership suppliers.

Make one offer easy to understand: Email and LinkedIn marketing services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Email and LinkedIn marketing services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 53 reached: LinkedIn outreach for EV dealership recruitment
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ev-dealership-recruitment-cs013/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Electric-vehicle dealership opportunities to Automotive dealers in India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 53 Contacts reached
- 43.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Automotive dealers in India.
2. Make one offer easy to understand: Electric-vehicle dealership opportunities.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 53 contacts replied within 14 days — a 43.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Electric-vehicle dealership opportunities. Its intended audience was Automotive dealers in India.

The useful message-design angle is Introduce a dealership proposition and qualify interest in a follow-up conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 June 2026 to 20 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

53 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 43.4% of the measured cohort.

The cohort contained 185 outbound messages and 49 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 12 replied within 24 hours and 22 within seven days. The median time to a first reply was about 11.6 hours, measured only among contacts who replied.

41 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Automotive dealers in India.

Make one offer easy to understand: Electric-vehicle dealership opportunities.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Electric-vehicle dealership opportunities. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 44 contacts replied from 194 reached: LinkedIn outreach for automotive contact data
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-automotive-contact-data-cs014/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering B2B contact data and email campaign support to UK automotive supply-chain sales and marketing leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 44 Contacts who replied (14 days)
- 194 Contacts reached
- 22.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK automotive supply-chain sales and marketing leaders.
2. Make one offer easy to understand: B2B contact data and email campaign support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
44 of 194 contacts replied within 14 days — a 22.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around B2B contact data and email campaign support. Its intended audience was UK automotive supply-chain sales and marketing leaders.

The useful message-design angle is Use a relevant data sample as the entry point to a sales and marketing discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 May 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

194 contact records were reached through qualifying delivered or read outreach.

44 contacts replied within 14 days, equivalent to 22.7% of the measured cohort.

The cohort contained 580 outbound messages and 92 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 44 responding contacts, 23 replied within 24 hours and 44 within seven days. The median time to a first reply was about 20.9 hours, measured only among contacts who replied.

167 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: UK automotive supply-chain sales and marketing leaders.

Make one offer easy to understand: B2B contact data and email campaign support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: B2B contact data and email campaign support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 16 contacts replied from 76 reached: LinkedIn lead generation for corporate car rental
URL: https://sbl.so/case-study/linkedin-linkedin-lead-generation-for-corporate-car-rental-cs015/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Corporate vehicle rental and driver outsourcing with a fleet assessment to Fleet and operations decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 16 Contacts who replied (14 days)
- 76 Contacts reached
- 21.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Fleet and operations decision-makers.
2. Make one offer easy to understand: Corporate vehicle rental and driver outsourcing with a fleet assessment.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
16 of 76 contacts replied within 14 days — a 21.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Corporate vehicle rental and driver outsourcing with a fleet assessment. Its intended audience was Fleet and operations decision-makers.

The useful message-design angle is Introduce a fleet assessment before discussing rental and driver-support options. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 June 2026 to 29 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

76 contact records were reached through qualifying delivered or read outreach.

16 contacts replied within 14 days, equivalent to 21.1% of the measured cohort.

The cohort contained 201 outbound messages and 28 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 16 responding contacts, 10 replied within 24 hours and 15 within seven days. The median time to a first reply was about 5.8 hours, measured only among contacts who replied.

66 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Fleet and operations decision-makers.

Make one offer easy to understand: Corporate vehicle rental and driver outsourcing with a fleet assessment.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Corporate vehicle rental and driver outsourcing with a fleet assessment. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 135 contacts replied from 587 reached: LinkedIn outreach for executive performance coaching
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-executive-performance-coaching-cs016/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Executive performance diagnostic and coaching to Spanish-speaking CEOs and executives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 135 Contacts who replied (14 days)
- 587 Contacts reached
- 23.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Spanish-speaking CEOs and executives.
2. Make one offer easy to understand: Executive performance diagnostic and coaching.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
135 of 587 contacts replied within 14 days — a 23.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Executive performance diagnostic and coaching. Its intended audience was Spanish-speaking CEOs and executives.

The useful message-design angle is Use a short diagnostic conversation to explore the leader's current performance challenges. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

587 contact records were reached through qualifying delivered or read outreach.

135 contacts replied within 14 days, equivalent to 23.0% of the measured cohort.

The cohort contained 1,737 outbound messages and 209 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 135 responding contacts, 58 replied within 24 hours and 111 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

518 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Spanish-speaking CEOs and executives.

Make one offer easy to understand: Executive performance diagnostic and coaching.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Executive performance diagnostic and coaching. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 137 contacts replied from 324 reached: LinkedIn networking for investment advisory
URL: https://sbl.so/case-study/linkedin-linkedin-networking-for-investment-advisory-cs017/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Foreign investment and tourism advisory intelligence to Government stakeholders and institutional investment professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 137 Contacts who replied (14 days)
- 324 Contacts reached
- 42.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Government stakeholders and institutional investment professionals.
2. Make one offer easy to understand: Foreign investment and tourism advisory intelligence.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
137 of 324 contacts replied within 14 days — a 42.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Foreign investment and tourism advisory intelligence. Its intended audience was Government stakeholders and institutional investment professionals.

The useful message-design angle is Build an intelligence exchange before discussing an advisory relationship. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 May 2026 to 11 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

324 contact records were reached through qualifying delivered or read outreach.

137 contacts replied within 14 days, equivalent to 42.3% of the measured cohort.

The cohort contained 559 outbound messages and 201 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 137 responding contacts, 80 replied within 24 hours and 100 within seven days. The median time to a first reply was about 6.6 hours, measured only among contacts who replied.

189 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Government stakeholders and institutional investment professionals.

Make one offer easy to understand: Foreign investment and tourism advisory intelligence.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Foreign investment and tourism advisory intelligence. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 111 contacts replied from 184 reached: LinkedIn outreach for fundraising advisory
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-fundraising-advisory-cs018/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Capital-raising advisory and investor access discussion to Founders exploring fundraising. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 111 Contacts who replied (14 days)
- 184 Contacts reached
- 60.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Founders exploring fundraising.
2. Make one offer easy to understand: Capital-raising advisory and investor access discussion.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
111 of 184 contacts replied within 14 days — a 60.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Capital-raising advisory and investor access discussion. Its intended audience was Founders exploring fundraising.

The useful message-design angle is Ask about current fundraising needs before discussing advisory support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

184 contact records were reached through qualifying delivered or read outreach.

111 contacts replied within 14 days, equivalent to 60.3% of the measured cohort.

The cohort contained 591 outbound messages and 254 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 111 responding contacts, 76 replied within 24 hours and 110 within seven days. The median time to a first reply was about 9.9 hours, measured only among contacts who replied.

102 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Founders exploring fundraising.

Make one offer easy to understand: Capital-raising advisory and investor access discussion.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Capital-raising advisory and investor access discussion. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 21 contacts replied from 66 reached: LinkedIn outreach for carbon credit partnerships
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-carbon-credit-partnerships-cs019/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Carbon-credit portfolio aggregation and transaction support to Institutional carbon-market professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 21 Contacts who replied (14 days)
- 66 Contacts reached
- 31.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Institutional carbon-market professionals.
2. Make one offer easy to understand: Carbon-credit portfolio aggregation and transaction support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
21 of 66 contacts replied within 14 days — a 31.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Carbon-credit portfolio aggregation and transaction support. Its intended audience was Institutional carbon-market professionals.

The useful message-design angle is Start with portfolio and transaction needs rather than an investment-return promise. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

66 contact records were reached through qualifying delivered or read outreach.

21 contacts replied within 14 days, equivalent to 31.8% of the measured cohort.

The cohort contained 221 outbound messages and 32 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 21 responding contacts, 6 replied within 24 hours and 19 within seven days. The median time to a first reply was about 39.9 hours, measured only among contacts who replied.

60 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Institutional carbon-market professionals.

Make one offer easy to understand: Carbon-credit portfolio aggregation and transaction support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Carbon-credit portfolio aggregation and transaction support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 27 contacts replied from 97 reached: LinkedIn community membership outreach
URL: https://sbl.so/case-study/linkedin-linkedin-community-membership-outreach-cs020/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering Professional business community membership to Professionals, executives and business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 27 Contacts who replied (14 days)
- 97 Contacts reached
- 27.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professionals, executives and business owners.
2. Make one offer easy to understand: Professional business community membership.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
27 of 97 contacts replied within 14 days — a 27.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Professional business community membership. Its intended audience was Professionals, executives and business owners.

The useful message-design angle is Explore professional interests before introducing a relevant business community. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 7 August 2026 to 25 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

97 contact records were reached through qualifying delivered or read outreach.

27 contacts replied within 14 days, equivalent to 27.8% of the measured cohort.

The cohort contained 295 outbound messages and 87 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 27 responding contacts, 22 replied within 24 hours and 26 within seven days. The median time to a first reply was about 1.9 hours, measured only among contacts who replied.

90 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Professionals, executives and business owners.

Make one offer easy to understand: Professional business community membership.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Professional business community membership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 54 contacts replied from 233 reached: LinkedIn outreach for healthcare internships
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-healthcare-internships-cs021/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Remote summer internship candidacy to Healthcare startup leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 54 Contacts who replied (14 days)
- 233 Contacts reached
- 23.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Healthcare startup leaders.
2. Make one offer easy to understand: Remote summer internship candidacy.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
54 of 233 contacts replied within 14 days — a 23.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Remote summer internship candidacy. Its intended audience was Healthcare startup leaders.

The useful message-design angle is Introduce a student's healthcare interest to leaders who could offer an internship. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 20 January 2026 to 27 January 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

233 contact records were reached through qualifying delivered or read outreach.

54 contacts replied within 14 days, equivalent to 23.2% of the measured cohort.

The cohort contained 395 outbound messages and 181 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 54 responding contacts, 32 replied within 24 hours and 50 within seven days. The median time to a first reply was about 15.8 hours, measured only among contacts who replied.

68 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Healthcare startup leaders.

Make one offer easy to understand: Remote summer internship candidacy.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Remote summer internship candidacy. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 19 contacts replied from 93 reached: LinkedIn outreach for embedded engineering consulting
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-embedded-engineering-consulting-cs022/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Embedded firmware and connected-device engineering consultancy to Founders of small connected-hardware companies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 19 Contacts who replied (14 days)
- 93 Contacts reached
- 20.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Founders of small connected-hardware companies.
2. Make one offer easy to understand: Embedded firmware and connected-device engineering consultancy.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
19 of 93 contacts replied within 14 days — a 20.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Embedded firmware and connected-device engineering consultancy. Its intended audience was Founders of small connected-hardware companies.

The useful message-design angle is Ask about connected-device and production bottlenecks before proposing technical support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 June 2026 to 12 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

93 contact records were reached through qualifying delivered or read outreach.

19 contacts replied within 14 days, equivalent to 20.4% of the measured cohort.

The cohort contained 121 outbound messages and 28 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 19 responding contacts, 13 replied within 24 hours and 19 within seven days. The median time to a first reply was about 10.2 hours, measured only among contacts who replied.

13 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Founders of small connected-hardware companies.

Make one offer easy to understand: Embedded firmware and connected-device engineering consultancy.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Embedded firmware and connected-device engineering consultancy. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 41 contacts replied from 126 reached: LinkedIn outreach for remote frontend developer jobs
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-remote-frontend-developer-jobs-cs023/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Frontend development candidacy to US hiring managers and recruiters. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 41 Contacts who replied (14 days)
- 126 Contacts reached
- 32.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US hiring managers and recruiters.
2. Make one offer easy to understand: Frontend development candidacy.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
41 of 126 contacts replied within 14 days — a 32.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Frontend development candidacy. Its intended audience was US hiring managers and recruiters.

The useful message-design angle is Introduce a relevant frontend stack and build toward a resume discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 April 2026 to 1 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

126 contact records were reached through qualifying delivered or read outreach.

41 contacts replied within 14 days, equivalent to 32.5% of the measured cohort.

The cohort contained 278 outbound messages and 79 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 41 responding contacts, 21 replied within 24 hours and 40 within seven days. The median time to a first reply was about 17.7 hours, measured only among contacts who replied.

66 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US hiring managers and recruiters.

Make one offer easy to understand: Frontend development candidacy.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Frontend development candidacy. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 58 contacts replied from 126 reached: LinkedIn networking for machine learning careers
URL: https://sbl.so/case-study/linkedin-linkedin-networking-for-machine-learning-careers-cs024/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Applied machine-learning candidacy and career conversations to Hiring professionals in machine learning. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 58 Contacts who replied (14 days)
- 126 Contacts reached
- 46.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Hiring professionals in machine learning.
2. Make one offer easy to understand: Applied machine-learning candidacy and career conversations.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
58 of 126 contacts replied within 14 days — a 46.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Applied machine-learning candidacy and career conversations. Its intended audience was Hiring professionals in machine learning.

The useful message-design angle is Use hiring criteria and career questions as the opening to an opportunity discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 April 2026 to 20 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

126 contact records were reached through qualifying delivered or read outreach.

58 contacts replied within 14 days, equivalent to 46.0% of the measured cohort.

The cohort contained 421 outbound messages and 176 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 58 responding contacts, 24 replied within 24 hours and 57 within seven days. The median time to a first reply was about 24.3 hours, measured only among contacts who replied.

98 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Hiring professionals in machine learning.

Make one offer easy to understand: Applied machine-learning candidacy and career conversations.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Applied machine-learning candidacy and career conversations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 69 contacts replied from 230 reached: LinkedIn outreach for quality management software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-quality-management-software-cs025/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Digital quality management and traceability software to Quality, operations and safety professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 69 Contacts who replied (14 days)
- 230 Contacts reached
- 30.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Quality, operations and safety professionals.
2. Make one offer easy to understand: Digital quality management and traceability software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
69 of 230 contacts replied within 14 days — a 30.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Digital quality management and traceability software. Its intended audience was Quality, operations and safety professionals.

The useful message-design angle is Ask about current quality processes before introducing digital records and reporting. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 April 2026 to 1 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

230 contact records were reached through qualifying delivered or read outreach.

69 contacts replied within 14 days, equivalent to 30.0% of the measured cohort.

The cohort contained 1,109 outbound messages and 193 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 69 responding contacts, 25 replied within 24 hours and 53 within seven days. The median time to a first reply was 3.0 days, measured only among contacts who replied.

200 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Quality, operations and safety professionals.

Make one offer easy to understand: Digital quality management and traceability software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Digital quality management and traceability software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 577 contacts replied from 2,138 reached: LinkedIn engagement-led outreach for quality software
URL: https://sbl.so/case-study/linkedin-linkedin-engagement-led-outreach-for-quality-software-cs026/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Digital quality management and operational follow-up tools to Quality and operations professionals engaging with relevant content. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 577 Contacts who replied (14 days)
- 2,138 Contacts reached
- 27.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Quality and operations professionals engaging with relevant content.
2. Make one offer easy to understand: Digital quality management and operational follow-up tools.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
577 of 2,138 contacts replied within 14 days — a 27.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Digital quality management and operational follow-up tools. Its intended audience was Quality and operations professionals engaging with relevant content.

The useful message-design angle is Use a comment-related entry point to discuss operational follow-up complexity. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 May 2026 to 1 October 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

2,138 contact records were reached through qualifying delivered or read outreach.

577 contacts replied within 14 days, equivalent to 27.0% of the measured cohort.

The cohort contained 6,631 outbound messages and 1,710 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 577 responding contacts, 332 replied within 24 hours and 490 within seven days. The median time to a first reply was about 14.1 hours, measured only among contacts who replied.

819 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Quality and operations professionals engaging with relevant content.

Make one offer easy to understand: Digital quality management and operational follow-up tools.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Digital quality management and operational follow-up tools. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 21 contacts replied from 88 reached: LinkedIn outreach for accessibility software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-accessibility-software-cs027/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Speech-recognition resources and accessibility support to NHS accessibility managers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 21 Contacts who replied (14 days)
- 88 Contacts reached
- 23.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: NHS accessibility managers.
2. Make one offer easy to understand: Speech-recognition resources and accessibility support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
21 of 88 contacts replied within 14 days — a 23.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Speech-recognition resources and accessibility support. Its intended audience was NHS accessibility managers.

The useful message-design angle is Offer useful speech-recognition information before discussing an accessibility solution. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 May 2026 to 3 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

88 contact records were reached through qualifying delivered or read outreach.

21 contacts replied within 14 days, equivalent to 23.9% of the measured cohort.

The cohort contained 144 outbound messages and 37 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 21 responding contacts, 16 replied within 24 hours and 19 within seven days. The median time to a first reply was about 3.6 hours, measured only among contacts who replied.

56 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: NHS accessibility managers.

Make one offer easy to understand: Speech-recognition resources and accessibility support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Speech-recognition resources and accessibility support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 18 contacts replied from 116 reached: LinkedIn outreach for headless CMS platforms
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-headless-cms-platforms-cs028/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Enterprise headless content management platform demonstrations to Enterprise developers and marketers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 18 Contacts who replied (14 days)
- 116 Contacts reached
- 15.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Enterprise developers and marketers.
2. Make one offer easy to understand: Enterprise headless content management platform demonstrations.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
18 of 116 contacts replied within 14 days — a 15.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Enterprise headless content management platform demonstrations. Its intended audience was Enterprise developers and marketers.

The useful message-design angle is Use relevant commerce research as a bridge to a platform discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 May 2026 to 14 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

116 contact records were reached through qualifying delivered or read outreach.

18 contacts replied within 14 days, equivalent to 15.5% of the measured cohort.

The cohort contained 287 outbound messages and 20 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 18 responding contacts, 10 replied within 24 hours and 15 within seven days. The median time to a first reply was about 7.7 hours, measured only among contacts who replied.

74 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Enterprise developers and marketers.

Make one offer easy to understand: Enterprise headless content management platform demonstrations.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Enterprise headless content management platform demonstrations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 65 contacts replied from 259 reached: LinkedIn outreach for manufacturing CRM software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-manufacturing-crm-software-cs029/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-enabled CRM demonstration to Machinery manufacturing decision-makers in India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 65 Contacts who replied (14 days)
- 259 Contacts reached
- 25.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Machinery manufacturing decision-makers in India.
2. Make one offer easy to understand: AI-enabled CRM demonstration.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
65 of 259 contacts replied within 14 days — a 25.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-enabled CRM demonstration. Its intended audience was Machinery manufacturing decision-makers in India.

The useful message-design angle is Ask about sales visibility and adoption before offering a CRM demonstration. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 June 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

259 contact records were reached through qualifying delivered or read outreach.

65 contacts replied within 14 days, equivalent to 25.1% of the measured cohort.

The cohort contained 808 outbound messages and 102 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 65 responding contacts, 42 replied within 24 hours and 60 within seven days. The median time to a first reply was about 3.2 hours, measured only among contacts who replied.

205 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Machinery manufacturing decision-makers in India.

Make one offer easy to understand: AI-enabled CRM demonstration.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-enabled CRM demonstration. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 113 reached: LinkedIn outreach for leadership advisory
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-leadership-advisory-cs030/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Leadership and strategic recalibration advisory to Senior leaders experiencing decision fatigue. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 113 Contacts reached
- 20.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Senior leaders experiencing decision fatigue.
2. Make one offer easy to understand: Leadership and strategic recalibration advisory.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 113 contacts replied within 14 days — a 20.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Leadership and strategic recalibration advisory. Its intended audience was Senior leaders experiencing decision fatigue.

The useful message-design angle is Explore the pressure of senior decisions before introducing an advisory conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

113 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 20.4% of the measured cohort.

The cohort contained 255 outbound messages and 34 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 13 replied within 24 hours and 18 within seven days. The median time to a first reply was about 14.9 hours, measured only among contacts who replied.

44 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Senior leaders experiencing decision fatigue.

Make one offer easy to understand: Leadership and strategic recalibration advisory.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Leadership and strategic recalibration advisory. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 370 contacts replied from 1,114 reached: LinkedIn outreach for EdTech WhatsApp software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-edtech-whatsapp-software-cs032/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering WhatsApp group and multi-number communication management to Indian education-technology companies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 370 Contacts who replied (14 days)
- 1,114 Contacts reached
- 33.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Indian education-technology companies.
2. Make one offer easy to understand: WhatsApp group and multi-number communication management.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
370 of 1,114 contacts replied within 14 days — a 33.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around WhatsApp group and multi-number communication management. Its intended audience was Indian education-technology companies.

The useful message-design angle is Ask how sales and support teams manage WhatsApp before offering a focused demonstration. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 August 2026 to 18 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,114 contact records were reached through qualifying delivered or read outreach.

370 contacts replied within 14 days, equivalent to 33.2% of the measured cohort.

The cohort contained 3,390 outbound messages and 828 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 370 responding contacts, 167 replied within 24 hours and 360 within seven days. The median time to a first reply was about 24.3 hours, measured only among contacts who replied.

802 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Indian education-technology companies.

Make one offer easy to understand: WhatsApp group and multi-number communication management.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: WhatsApp group and multi-number communication management. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 45 contacts replied from 233 reached: LinkedIn outreach for AI integration consulting
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-integration-consulting-cs033/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Custom AI integration and workflow consulting to Product leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 45 Contacts who replied (14 days)
- 233 Contacts reached
- 19.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Product leaders.
2. Make one offer easy to understand: Custom AI integration and workflow consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
45 of 233 contacts replied within 14 days — a 19.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Custom AI integration and workflow consulting. Its intended audience was Product leaders.

The useful message-design angle is Ask where research, decisions or repetitive work slow a product team. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 29 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

233 contact records were reached through qualifying delivered or read outreach.

45 contacts replied within 14 days, equivalent to 19.3% of the measured cohort.

The cohort contained 438 outbound messages and 75 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 45 responding contacts, 19 replied within 24 hours and 42 within seven days. The median time to a first reply was about 26.2 hours, measured only among contacts who replied.

59 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Product leaders.

Make one offer easy to understand: Custom AI integration and workflow consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Custom AI integration and workflow consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 41 contacts replied from 121 reached: LinkedIn lead magnet follow-up for business coaching
URL: https://sbl.so/case-study/linkedin-linkedin-lead-magnet-follow-up-for-business-coaching-cs034/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Growth training video and supporting guide to Entrepreneurs seeking alternatives to expensive paid acquisition. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 41 Contacts who replied (14 days)
- 121 Contacts reached
- 33.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Entrepreneurs seeking alternatives to expensive paid acquisition.
2. Make one offer easy to understand: Growth training video and supporting guide.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
41 of 121 contacts replied within 14 days — a 33.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Growth training video and supporting guide. Its intended audience was Entrepreneurs seeking alternatives to expensive paid acquisition.

The useful message-design angle is Follow a content interaction with the requested training and a relevant growth discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 October 2025 to 18 February 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

121 contact records were reached through qualifying delivered or read outreach.

41 contacts replied within 14 days, equivalent to 33.9% of the measured cohort.

The cohort contained 319 outbound messages and 74 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 41 responding contacts, 23 replied within 24 hours and 40 within seven days. The median time to a first reply was about 19.5 hours, measured only among contacts who replied.

89 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Entrepreneurs seeking alternatives to expensive paid acquisition.

Make one offer easy to understand: Growth training video and supporting guide.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Growth training video and supporting guide. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 13 contacts replied from 85 reached: LinkedIn outreach for personal branding services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-personal-branding-services-cs035/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Founder authority and personal-brand content services to Coaches, consultants and founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 13 Contacts who replied (14 days)
- 85 Contacts reached
- 15.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Coaches, consultants and founders.
2. Make one offer easy to understand: Founder authority and personal-brand content services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
13 of 85 contacts replied within 14 days — a 15.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Founder authority and personal-brand content services. Its intended audience was Coaches, consultants and founders.

The useful message-design angle is Use the gap between expertise and visibility as a conversation starter. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 13 July 2026 to 17 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

85 contact records were reached through qualifying delivered or read outreach.

13 contacts replied within 14 days, equivalent to 15.3% of the measured cohort.

The cohort contained 104 outbound messages and 36 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 13 responding contacts, 10 replied within 24 hours and 13 within seven days. The median time to a first reply was about 6.1 hours, measured only among contacts who replied.

8 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Coaches, consultants and founders.

Make one offer easy to understand: Founder authority and personal-brand content services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Founder authority and personal-brand content services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 56 contacts replied from 185 reached: LinkedIn outreach for skincare distributors
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-skincare-distributors-cs036/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering Professional skincare samples and distribution partnership to Licensed spa professionals and potential country distributors. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 56 Contacts who replied (14 days)
- 185 Contacts reached
- 30.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Licensed spa professionals and potential country distributors.
2. Make one offer easy to understand: Professional skincare samples and distribution partnership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
56 of 185 contacts replied within 14 days — a 30.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Professional skincare samples and distribution partnership. Its intended audience was Licensed spa professionals and potential country distributors.

The useful message-design angle is Offer a relevant product sample before exploring a distribution relationship. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

185 contact records were reached through qualifying delivered or read outreach.

56 contacts replied within 14 days, equivalent to 30.3% of the measured cohort.

The cohort contained 383 outbound messages and 66 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 56 responding contacts, 28 replied within 24 hours and 48 within seven days. The median time to a first reply was about 21.8 hours, measured only among contacts who replied.

109 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Licensed spa professionals and potential country distributors.

Make one offer easy to understand: Professional skincare samples and distribution partnership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Professional skincare samples and distribution partnership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 113 contacts replied from 753 reached: LinkedIn reactivation for skincare brands
URL: https://sbl.so/case-study/linkedin-linkedin-reactivation-for-skincare-brands-cs037/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering Skincare product trial or business conversation to Existing professional connections. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 113 Contacts who replied (14 days)
- 753 Contacts reached
- 15.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Existing professional connections.
2. Make one offer easy to understand: Skincare product trial or business conversation.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
113 of 753 contacts replied within 14 days — a 15.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Skincare product trial or business conversation. Its intended audience was Existing professional connections.

The useful message-design angle is Restart dormant relationships with curiosity before introducing a trial or call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 September 2026 to 1 October 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

753 contact records were reached through qualifying delivered or read outreach.

113 contacts replied within 14 days, equivalent to 15.0% of the measured cohort.

The cohort contained 1,628 outbound messages and 254 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 113 responding contacts, 54 replied within 24 hours and 76 within seven days. The median time to a first reply was about 27.6 hours, measured only among contacts who replied.

678 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Existing professional connections.

Make one offer easy to understand: Skincare product trial or business conversation.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Skincare product trial or business conversation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 165 contacts replied from 596 reached: LinkedIn outreach for landing page design agencies
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-landing-page-design-agencies-cs038/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Custom landing-page and hero-section design concept to Startup founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 165 Contacts who replied (14 days)
- 596 Contacts reached
- 27.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Startup founders.
2. Make one offer easy to understand: Custom landing-page and hero-section design concept.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
165 of 596 contacts replied within 14 days — a 27.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Custom landing-page and hero-section design concept. Its intended audience was Startup founders.

The useful message-design angle is Use a tailored visual concept to make a design-service conversation concrete. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 June 2026 to 14 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

596 contact records were reached through qualifying delivered or read outreach.

165 contacts replied within 14 days, equivalent to 27.7% of the measured cohort.

The cohort contained 2,036 outbound messages and 292 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 165 responding contacts, 78 replied within 24 hours and 126 within seven days. The median time to a first reply was about 41.2 hours, measured only among contacts who replied.

512 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Startup founders.

Make one offer easy to understand: Custom landing-page and hero-section design concept.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Custom landing-page and hero-section design concept. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 25 contacts replied from 50 reached: LinkedIn outreach for AI career training
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-career-training-cs039/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI and machine-learning training with career mentorship to Engineering students, graduates and early-career engineers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 25 Contacts who replied (14 days)
- 50 Contacts reached
- 50.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Engineering students, graduates and early-career engineers.
2. Make one offer easy to understand: AI and machine-learning training with career mentorship.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
25 of 50 contacts replied within 14 days — a 50.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI and machine-learning training with career mentorship. Its intended audience was Engineering students, graduates and early-career engineers.

The useful message-design angle is Explore learning and career goals before recommending a course or counseling call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 July 2026 to 13 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

50 contact records were reached through qualifying delivered or read outreach.

25 contacts replied within 14 days, equivalent to 50.0% of the measured cohort.

The cohort contained 194 outbound messages and 85 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 25 responding contacts, 17 replied within 24 hours and 24 within seven days. The median time to a first reply was about 5.3 hours, measured only among contacts who replied.

32 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Engineering students, graduates and early-career engineers.

Make one offer easy to understand: AI and machine-learning training with career mentorship.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI and machine-learning training with career mentorship. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 58 contacts replied from 184 reached: LinkedIn outreach for leadership simulation training
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-leadership-simulation-training-cs040/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Simulation-based leadership training to Enterprise learning and development leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 58 Contacts who replied (14 days)
- 184 Contacts reached
- 31.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Enterprise learning and development leaders.
2. Make one offer easy to understand: Simulation-based leadership training.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
58 of 184 contacts replied within 14 days — a 31.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Simulation-based leadership training. Its intended audience was Enterprise learning and development leaders.

The useful message-design angle is Connect the needs of newly promoted leaders to a practical training format. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

184 contact records were reached through qualifying delivered or read outreach.

58 contacts replied within 14 days, equivalent to 31.5% of the measured cohort.

The cohort contained 473 outbound messages and 65 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 58 responding contacts, 35 replied within 24 hours and 50 within seven days. The median time to a first reply was about 11.0 hours, measured only among contacts who replied.

145 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Enterprise learning and development leaders.

Make one offer easy to understand: Simulation-based leadership training.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Simulation-based leadership training. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 67 contacts replied from 285 reached: LinkedIn outreach for sales closing coaching
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-sales-closing-coaching-cs041/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Closing coaching and access to a sales-opportunity channel to French-speaking sales closers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 67 Contacts who replied (14 days)
- 285 Contacts reached
- 23.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: French-speaking sales closers.
2. Make one offer easy to understand: Closing coaching and access to a sales-opportunity channel.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
67 of 285 contacts replied within 14 days — a 23.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Closing coaching and access to a sales-opportunity channel. Its intended audience was French-speaking sales closers.

The useful message-design angle is Use a relevant opportunity channel to begin discussing a closer's current situation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 July 2026 to 24 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

285 contact records were reached through qualifying delivered or read outreach.

67 contacts replied within 14 days, equivalent to 23.5% of the measured cohort.

The cohort contained 758 outbound messages and 78 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 67 responding contacts, 37 replied within 24 hours and 64 within seven days. The median time to a first reply was about 20.8 hours, measured only among contacts who replied.

242 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: French-speaking sales closers.

Make one offer easy to understand: Closing coaching and access to a sales-opportunity channel.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Closing coaching and access to a sales-opportunity channel. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 31 contacts replied from 183 reached: LinkedIn lead generation for startup growth agencies
URL: https://sbl.so/case-study/linkedin-linkedin-lead-generation-for-startup-growth-agencies-cs042/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Customer-acquisition and growth marketing support to Venture-backed startup founders and marketing leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 31 Contacts who replied (14 days)
- 183 Contacts reached
- 16.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Venture-backed startup founders and marketing leaders.
2. Make one offer easy to understand: Customer-acquisition and growth marketing support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
31 of 183 contacts replied within 14 days — a 16.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Customer-acquisition and growth marketing support. Its intended audience was Venture-backed startup founders and marketing leaders.

The useful message-design angle is Begin a relationship around the acquisition challenges of funded startup teams. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 March 2026 to 24 March 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

183 contact records were reached through qualifying delivered or read outreach.

31 contacts replied within 14 days, equivalent to 16.9% of the measured cohort.

The cohort contained 250 outbound messages and 64 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 31 responding contacts, 16 replied within 24 hours and 26 within seven days. The median time to a first reply was about 24.0 hours, measured only among contacts who replied.

47 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Venture-backed startup founders and marketing leaders.

Make one offer easy to understand: Customer-acquisition and growth marketing support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Customer-acquisition and growth marketing support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 39 contacts replied from 97 reached: LinkedIn comment-to-message course promotion
URL: https://sbl.so/case-study/linkedin-linkedin-comment-to-message-course-promotion-cs043/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Free Notion course access to Spanish-speaking LinkedIn commenters. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 39 Contacts who replied (14 days)
- 97 Contacts reached
- 40.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Spanish-speaking LinkedIn commenters.
2. Make one offer easy to understand: Free Notion course access.
3. Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
39 of 97 contacts replied within 14 days — a 40.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Free Notion course access. Its intended audience was Spanish-speaking LinkedIn commenters.

The useful message-design angle is Give commenters direct access to the resource they requested. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 February 2026 to 25 February 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

97 contact records were reached through qualifying delivered or read outreach.

39 contacts replied within 14 days, equivalent to 40.2% of the measured cohort.

The cohort contained 136 outbound messages and 66 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 39 responding contacts, 32 replied within 24 hours and 36 within seven days. The median time to a first reply was about 2.9 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Spanish-speaking LinkedIn commenters.

Make one offer easy to understand: Free Notion course access.

Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Free Notion course access. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 147 replies from 188 contacts: a sample-first exam-coaching campaign
URL: https://sbl.so/case-study/exam-coaching-linkedin-sample-report/
Industry: Education & Training
Channel: LinkedIn

An exam-preparation business made its service tangible with a simple invitation: see a sample report. The campaign reached 188 contacts, and 147 replied.

Reported results:
- 147 Contacts who replied (14 days)
- 188 Contacts reached
- 78.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Foundation and intermediate accounting exam candidates.
2. Make one offer easy to understand: Professional accounting exam coaching and mock-test review.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
A student can read a promise about personalized feedback and still have no idea what they will receive. This exam-preparation business gave them something easier to judge: a sample of the work itself.

Its LinkedIn campaign made a concrete offer—question-by-question mock-test feedback—and asked a small question: “Want a sample report?” Across 188 contacts, 147 replied. The useful lesson is in the offer, the follow-through and what those replies revealed about the students.



Make the value of feedback easy to see

The business wanted to introduce its chartered-accountancy mock-test service and move interested students toward enrollment. Its offer included reviewed answer sheets and reports explaining where a student could improve.

That kind of service benefits from a demonstration. A student needs to understand how the review differs from simply receiving a score. The campaign therefore put the sample before the enrollment conversation.



Give the student an easy first yes

The opening message explained what was being reviewed and what the student could learn from it. It finished by asking permission to send a sample. The immediate decision was small: see whether this type of feedback would be useful.

A follow-up began with “Thanks for connecting” and offered a one-page example. In a reviewed conversation, the student asked for the report; the business then explained the sample analysis and sent two PDF references. The offer was followed by a visible next step.



The workflow: offer, permission, proof, next step

01Offer a sample

Introduce question-by-question feedback and ask whether the student would like to see an example.



02Follow up after connecting

Thank the student for connecting and repeat the specific offer of a short sample report.



03Share what was promised

When a student asks, explain the sample analysis and send the supporting material.



04Respond to the next question

Continue from the student's answer: explain the service, discuss pricing or recognize that the timing is too early.



These steps are drawn from the campaign's stored messages. The setup included a one-day follow-up; individual conversations followed different paths.



The messages behind the campaign

The opening offerI'm personally reviewing student mocks question-by-question to fix exact weak spots. Let's connect. Want a sample report?Actual message · excerpt

The connection follow-upThanks for connecting, [First name]!

As mentioned in my invite, I’m personally reviewing CA papers question-by-question to help students fix presentation gaps before the ICAI exams.

May I drop a quick 1-page sample here of how I evaluate answer sheets, just so you can see the level of detail?Actual message · name replaced

A student's responseSure u can send me sample reportActual reply · separate conversation





Interest opened the door. Readiness shaped the next step.

Some replies were requests for a sample. Others went straight to pricing. One student asked, “How much would you charge,” then asked again for a price range. That is a useful reminder to answer the question the prospect has actually asked.

Other students said they had only recently started preparing or were not ready for mock tests. One corrected the assumed qualification track. The response rate was strong, but the conversations still needed judgment: which exam, which attempt and what stage of preparation?



147 contacts replied to the outreach

The campaign reached 188 distinct contacts in the analyzed group. Within two weeks of each contact's first message, 147 had replied—a 78.2% reply rate.

The messages show sample requests, pricing questions, acknowledgments and deferrals. They support a strong conversation-starting result. Paid enrollments and revenue were not verified for this case.



Let the quality of the work start the conversation

1Make the first offer tangible

A sample gives someone a way to understand the service. For an education business, that might be a marked answer sheet, a lesson preview or a diagnostic example.





2Deliver before expanding the pitch

When someone accepts the sample, send it. Explain what they should notice, then continue from their response.





3Qualify timing as well as interest

A student can like the idea and still be months away from needing the service. Ask about preparation stage before treating a reply as an enrollment opportunity.







Try a sample-first invitation

Adaptable template · newly writtenHi [First name], I noticed you're preparing for [exam / qualification].

We review [specific work] and show where you can improve [specific skill or result].

Would you like a short sample so you can see how the feedback works?



Adaptable follow-upThanks for connecting, [First name]. Would a one-page example of our [review / feedback] be useful? Happy to share it here.

Use a real sample you can share promptly. After sending it, ask about the student's exam and preparation stage. Keep credentials and claims specific to your own business.



If your service is easier to understand once someone sees it, build the conversation around that moment. Give the prospect a clear way to inspect the value, then help them decide whether it fits their situation.

Adapt the sample-first workflow ↑



About these resultsBased on messages stored through 15 October 2026. We counted 188 distinct contacts with recorded sent messages and checked for a reply over the following two weeks. Contacts with earlier incoming messages in the available history or overlapping outreach from other campaigns were excluded. Replies can include questions, acknowledgments or refusals. Names are anonymized. The sample PDFs were referenced in messages but were not inspected. Enrollment and revenue outcomes were not verified.

---

## 12 contacts replied from 64 reached: LinkedIn outreach for freelance marketing training
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-freelance-marketing-training-cs045/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Part-time freelancing cohort and introductory profile walkthrough to Employed marketers in the UK. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 12 Contacts who replied (14 days)
- 64 Contacts reached
- 18.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Employed marketers in the UK.
2. Make one offer easy to understand: Part-time freelancing cohort and introductory profile walkthrough.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
12 of 64 contacts replied within 14 days — a 18.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Part-time freelancing cohort and introductory profile walkthrough. Its intended audience was Employed marketers in the UK.

The useful message-design angle is Offer a profile walkthrough before discussing a structured freelancing program. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 September 2026 to 25 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

64 contact records were reached through qualifying delivered or read outreach.

12 contacts replied within 14 days, equivalent to 18.8% of the measured cohort.

The cohort contained 143 outbound messages and 21 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 12 responding contacts, 10 replied within 24 hours and 12 within seven days. The median time to a first reply was about 9.9 hours, measured only among contacts who replied.

40 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Employed marketers in the UK.

Make one offer easy to understand: Part-time freelancing cohort and introductory profile walkthrough.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Part-time freelancing cohort and introductory profile walkthrough. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 60 contacts replied from 120 reached: LinkedIn outreach for AI workflow advisory
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-workflow-advisory-cs046/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering One-to-one AI-agent workflow implementation support to Technical leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 60 Contacts who replied (14 days)
- 120 Contacts reached
- 50.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Technical leaders.
2. Make one offer easy to understand: One-to-one AI-agent workflow implementation support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
60 of 120 contacts replied within 14 days — a 50.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around One-to-one AI-agent workflow implementation support. Its intended audience was Technical leaders.

The useful message-design angle is Explore implementation and decision-support needs with technical decision-makers. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 September 2026 to 23 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

120 contact records were reached through qualifying delivered or read outreach.

60 contacts replied within 14 days, equivalent to 50.0% of the measured cohort.

The cohort contained 411 outbound messages and 95 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 60 responding contacts, 27 replied within 24 hours and 58 within seven days. The median time to a first reply was about 29.5 hours, measured only among contacts who replied.

91 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Technical leaders.

Make one offer easy to understand: One-to-one AI-agent workflow implementation support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: One-to-one AI-agent workflow implementation support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 49 contacts replied from 134 reached: LinkedIn outreach for AI consulting workflows
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-consulting-workflows-cs047/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI workflow support for research, proposals and client delivery to Consulting leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 49 Contacts who replied (14 days)
- 134 Contacts reached
- 36.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Consulting leaders.
2. Make one offer easy to understand: AI workflow support for research, proposals and client delivery.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
49 of 134 contacts replied within 14 days — a 36.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI workflow support for research, proposals and client delivery. Its intended audience was Consulting leaders.

The useful message-design angle is Start with a consultancy's delivery work rather than a generic AI pitch. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 September 2026 to 10 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

134 contact records were reached through qualifying delivered or read outreach.

49 contacts replied within 14 days, equivalent to 36.6% of the measured cohort.

The cohort contained 315 outbound messages and 86 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 49 responding contacts, 20 replied within 24 hours and 45 within seven days. The median time to a first reply was about 38.5 hours, measured only among contacts who replied.

54 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Consulting leaders.

Make one offer easy to understand: AI workflow support for research, proposals and client delivery.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI workflow support for research, proposals and client delivery. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 74 contacts replied from 285 reached: LinkedIn onboarding for SaaS trial users
URL: https://sbl.so/case-study/linkedin-linkedin-onboarding-for-saas-trial-users-cs048/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering First-campaign setup and software trial onboarding to New outreach-software users. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 74 Contacts who replied (14 days)
- 285 Contacts reached
- 26.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: New outreach-software users.
2. Make one offer easy to understand: First-campaign setup and software trial onboarding.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
74 of 285 contacts replied within 14 days — a 26.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around First-campaign setup and software trial onboarding. Its intended audience was New outreach-software users.

The useful message-design angle is Use a personal welcome to help a new user start an initial campaign. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 April 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

285 contact records were reached through qualifying delivered or read outreach.

74 contacts replied within 14 days, equivalent to 26.0% of the measured cohort.

The cohort contained 550 outbound messages and 194 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 74 responding contacts, 50 replied within 24 hours and 69 within seven days. The median time to a first reply was about 6.9 hours, measured only among contacts who replied.

83 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: New outreach-software users.

Make one offer easy to understand: First-campaign setup and software trial onboarding.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: First-campaign setup and software trial onboarding. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 22 contacts replied from 96 reached: LinkedIn outreach for life sciences training
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-life-sciences-training-cs049/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Immunogenicity and bioanalytical professional training to Bioanalytical and clinical professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 22 Contacts who replied (14 days)
- 96 Contacts reached
- 22.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Bioanalytical and clinical professionals.
2. Make one offer easy to understand: Immunogenicity and bioanalytical professional training.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
22 of 96 contacts replied within 14 days — a 22.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Immunogenicity and bioanalytical professional training. Its intended audience was Bioanalytical and clinical professionals.

The useful message-design angle is Use a specialist brochure to qualify topic relevance before a registration discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 January 2026 to 28 January 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

96 contact records were reached through qualifying delivered or read outreach.

22 contacts replied within 14 days, equivalent to 22.9% of the measured cohort.

The cohort contained 135 outbound messages and 42 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 22 responding contacts, 14 replied within 24 hours and 21 within seven days. The median time to a first reply was about 12.0 hours, measured only among contacts who replied.

13 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Bioanalytical and clinical professionals.

Make one offer easy to understand: Immunogenicity and bioanalytical professional training.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Immunogenicity and bioanalytical professional training. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 75 contacts replied from 205 reached: LinkedIn comment follow-up for career resources
URL: https://sbl.so/case-study/linkedin-linkedin-comment-follow-up-for-career-resources-cs050/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Career-tool resource list to LinkedIn commenters seeking career resources. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 75 Contacts who replied (14 days)
- 205 Contacts reached
- 36.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: LinkedIn commenters seeking career resources.
2. Make one offer easy to understand: Career-tool resource list.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
75 of 205 contacts replied within 14 days — a 36.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Career-tool resource list. Its intended audience was LinkedIn commenters seeking career resources.

The useful message-design angle is Deliver a relevant resource list to people who expressed interest through a comment. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 February 2026 to 25 February 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

205 contact records were reached through qualifying delivered or read outreach.

75 contacts replied within 14 days, equivalent to 36.6% of the measured cohort.

The cohort contained 205 outbound messages and 84 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 75 responding contacts, 71 replied within 24 hours and 75 within seven days. The median time to a first reply was about 3.5 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: LinkedIn commenters seeking career resources.

Make one offer easy to understand: Career-tool resource list.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Career-tool resource list. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 2,243 contacts replied from 5,889 reached: LinkedIn outreach for meeting software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-meeting-software-cs051/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Branded meeting links and meeting-workflow software to Consultants, coaches, founders and professionals hosting frequent meetings. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 2,243 Contacts who replied (14 days)
- 5,889 Contacts reached
- 38.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Consultants, coaches, founders and professionals hosting frequent meetings.
2. Make one offer easy to understand: Branded meeting links and meeting-workflow software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
2,243 of 5,889 contacts replied within 14 days — a 38.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Branded meeting links and meeting-workflow software. Its intended audience was Consultants, coaches, founders and professionals hosting frequent meetings.

The useful message-design angle is Ask permission to share a free tool before introducing branded meeting links. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 23 February 2026 to 3 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

5,889 contact records were reached through qualifying delivered or read outreach.

2,243 contacts replied within 14 days, equivalent to 38.1% of the measured cohort.

The cohort contained 16,446 outbound messages and 4,094 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 2,243 responding contacts, 1,213 replied within 24 hours and 1,954 within seven days. The median time to a first reply was about 17.8 hours, measured only among contacts who replied.

4,530 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Consultants, coaches, founders and professionals hosting frequent meetings.

Make one offer easy to understand: Branded meeting links and meeting-workflow software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Branded meeting links and meeting-workflow software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 212 contacts replied from 650 reached: LinkedIn warm lead follow-up for SaaS signups
URL: https://sbl.so/case-study/linkedin-linkedin-warm-lead-follow-up-for-saas-signups-cs052/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Free signup for branded meeting links and AI meeting notes to Prospects who previously expressed interest but had not signed up. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 212 Contacts who replied (14 days)
- 650 Contacts reached
- 32.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Prospects who previously expressed interest but had not signed up.
2. Make one offer easy to understand: Free signup for branded meeting links and AI meeting notes.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
212 of 650 contacts replied within 14 days — a 32.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Free signup for branded meeting links and AI meeting notes. Its intended audience was Prospects who previously expressed interest but had not signed up.

The useful message-design angle is Resume an earlier relevant discussion with a simple free-signup invitation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 June 2026 to 6 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

650 contact records were reached through qualifying delivered or read outreach.

212 contacts replied within 14 days, equivalent to 32.6% of the measured cohort.

The cohort contained 1,631 outbound messages and 398 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 212 responding contacts, 108 replied within 24 hours and 197 within seven days. The median time to a first reply was about 21.4 hours, measured only among contacts who replied.

237 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Prospects who previously expressed interest but had not signed up.

Make one offer easy to understand: Free signup for branded meeting links and AI meeting notes.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Free signup for branded meeting links and AI meeting notes. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 31 contacts replied from 160 reached: LinkedIn outreach for home improvement marketing
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-home-improvement-marketing-cs053/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Website conversion optimization program to Dutch kitchen, bathroom and renovation business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 31 Contacts who replied (14 days)
- 160 Contacts reached
- 19.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Dutch kitchen, bathroom and renovation business owners.
2. Make one offer easy to understand: Website conversion optimization program.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
31 of 160 contacts replied within 14 days — a 19.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Website conversion optimization program. Its intended audience was Dutch kitchen, bathroom and renovation business owners.

The useful message-design angle is Connect a website discussion to the enquiries that matter to a showroom business. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 April 2026 to 13 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

160 contact records were reached through qualifying delivered or read outreach.

31 contacts replied within 14 days, equivalent to 19.4% of the measured cohort.

The cohort contained 218 outbound messages and 52 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 31 responding contacts, 14 replied within 24 hours and 27 within seven days. The median time to a first reply was about 28.1 hours, measured only among contacts who replied.

54 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Dutch kitchen, bathroom and renovation business owners.

Make one offer easy to understand: Website conversion optimization program.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Website conversion optimization program. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 20 contacts replied from 91 reached: LinkedIn partnerships for asset based lending
URL: https://sbl.so/case-study/linkedin-linkedin-partnerships-for-asset-based-lending-cs054/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Merchant-cash-advance debt consolidation and bridge finance to Business development contacts at factoring and asset-based lending firms. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 20 Contacts who replied (14 days)
- 91 Contacts reached
- 22.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business development contacts at factoring and asset-based lending firms.
2. Make one offer easy to understand: Merchant-cash-advance debt consolidation and bridge finance.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
20 of 91 contacts replied within 14 days — a 22.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Merchant-cash-advance debt consolidation and bridge finance. Its intended audience was Business development contacts at factoring and asset-based lending firms.

The useful message-design angle is Introduce a complementary financing option for clients who may not yet fit a lender's criteria. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 June 2026 to 30 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

91 contact records were reached through qualifying delivered or read outreach.

20 contacts replied within 14 days, equivalent to 22.0% of the measured cohort.

The cohort contained 203 outbound messages and 35 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 20 responding contacts, 10 replied within 24 hours and 16 within seven days. The median time to a first reply was about 37.4 hours, measured only among contacts who replied.

35 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Business development contacts at factoring and asset-based lending firms.

Make one offer easy to understand: Merchant-cash-advance debt consolidation and bridge finance.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Merchant-cash-advance debt consolidation and bridge finance. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 41 contacts replied from 97 reached: LinkedIn outreach for financial advisor succession planning
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-financial-advisor-succession-planning-cs055/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Advisor practice succession and legacy program to Independent Canadian insurance and financial advisors. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 41 Contacts who replied (14 days)
- 97 Contacts reached
- 42.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Independent Canadian insurance and financial advisors.
2. Make one offer easy to understand: Advisor practice succession and legacy program.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
41 of 97 contacts replied within 14 days — a 42.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Advisor practice succession and legacy program. Its intended audience was Independent Canadian insurance and financial advisors.

The useful message-design angle is Raise practice continuity and future exit planning with experienced advisors. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 5 May 2026 to 21 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

97 contact records were reached through qualifying delivered or read outreach.

41 contacts replied within 14 days, equivalent to 42.3% of the measured cohort.

The cohort contained 276 outbound messages and 80 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 41 responding contacts, 27 replied within 24 hours and 39 within seven days. The median time to a first reply was about 3.1 hours, measured only among contacts who replied.

62 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Independent Canadian insurance and financial advisors.

Make one offer easy to understand: Advisor practice succession and legacy program.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Advisor practice succession and legacy program. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 26 contacts replied from 113 reached: LinkedIn outreach for restaurant tax credit services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-restaurant-tax-credit-services-cs056/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Restaurant tip-tax credit eligibility and recovery service to Independent restaurant owners and payroll decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 26 Contacts who replied (14 days)
- 113 Contacts reached
- 23.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Independent restaurant owners and payroll decision-makers.
2. Make one offer easy to understand: Restaurant tip-tax credit eligibility and recovery service.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
26 of 113 contacts replied within 14 days — a 23.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Restaurant tip-tax credit eligibility and recovery service. Its intended audience was Independent restaurant owners and payroll decision-makers.

The useful message-design angle is Use a short eligibility check to introduce a specialized restaurant tax service. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 April 2026 to 24 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

113 contact records were reached through qualifying delivered or read outreach.

26 contacts replied within 14 days, equivalent to 23.0% of the measured cohort.

The cohort contained 323 outbound messages and 34 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 26 responding contacts, 14 replied within 24 hours and 26 within seven days. The median time to a first reply was about 4.0 hours, measured only among contacts who replied.

98 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Independent restaurant owners and payroll decision-makers.

Make one offer easy to understand: Restaurant tip-tax credit eligibility and recovery service.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Restaurant tip-tax credit eligibility and recovery service. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 78 contacts replied from 260 reached: LinkedIn outreach for asset finance brokers
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-asset-finance-brokers-cs057/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Asset finance brokerage and educational funding guide to UK owners financing vehicles, equipment and machinery. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 78 Contacts who replied (14 days)
- 260 Contacts reached
- 30.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK owners financing vehicles, equipment and machinery.
2. Make one offer easy to understand: Asset finance brokerage and educational funding guide.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
78 of 260 contacts replied within 14 days — a 30.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Asset finance brokerage and educational funding guide. Its intended audience was UK owners financing vehicles, equipment and machinery.

The useful message-design angle is Lead with useful funding information before suggesting an application or consultation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 28 July 2026 to 14 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

260 contact records were reached through qualifying delivered or read outreach.

78 contacts replied within 14 days, equivalent to 30.0% of the measured cohort.

The cohort contained 958 outbound messages and 119 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 78 responding contacts, 34 replied within 24 hours and 68 within seven days. The median time to a first reply was about 24.3 hours, measured only among contacts who replied.

221 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: UK owners financing vehicles, equipment and machinery.

Make one offer easy to understand: Asset finance brokerage and educational funding guide.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Asset finance brokerage and educational funding guide. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 29 contacts replied from 109 reached: LinkedIn outreach for founder content services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-founder-content-services-cs058/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Personal-brand strategy, AI-avatar video production and publishing to Busy technology founders and executives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 29 Contacts who replied (14 days)
- 109 Contacts reached
- 26.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Busy technology founders and executives.
2. Make one offer easy to understand: Personal-brand strategy, AI-avatar video production and publishing.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
29 of 109 contacts replied within 14 days — a 26.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Personal-brand strategy, AI-avatar video production and publishing. Its intended audience was Busy technology founders and executives.

The useful message-design angle is Frame content production around the founder's time constraints and branding priorities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 July 2026 to 8 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

109 contact records were reached through qualifying delivered or read outreach.

29 contacts replied within 14 days, equivalent to 26.6% of the measured cohort.

The cohort contained 345 outbound messages and 64 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 29 responding contacts, 16 replied within 24 hours and 29 within seven days. The median time to a first reply was about 14.4 hours, measured only among contacts who replied.

75 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Busy technology founders and executives.

Make one offer easy to understand: Personal-brand strategy, AI-avatar video production and publishing.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Personal-brand strategy, AI-avatar video production and publishing. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 39 contacts replied from 89 reached: LinkedIn recruiting for financial education businesses
URL: https://sbl.so/case-study/linkedin-linkedin-recruiting-for-financial-education-businesses-cs059/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Mentorship-led opportunity in financial education to Growth-minded Canadian professionals and business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 39 Contacts who replied (14 days)
- 89 Contacts reached
- 43.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Growth-minded Canadian professionals and business owners.
2. Make one offer easy to understand: Mentorship-led opportunity in financial education.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
39 of 89 contacts replied within 14 days — a 43.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Mentorship-led opportunity in financial education. Its intended audience was Growth-minded Canadian professionals and business owners.

The useful message-design angle is Ask about current role satisfaction before introducing a career or business opportunity. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 June 2026 to 15 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

89 contact records were reached through qualifying delivered or read outreach.

39 contacts replied within 14 days, equivalent to 43.8% of the measured cohort.

The cohort contained 264 outbound messages and 106 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 39 responding contacts, 16 replied within 24 hours and 37 within seven days. The median time to a first reply was about 25.7 hours, measured only among contacts who replied.

73 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Growth-minded Canadian professionals and business owners.

Make one offer easy to understand: Mentorship-led opportunity in financial education.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Mentorship-led opportunity in financial education. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 20 contacts replied from 52 reached: LinkedIn outreach for mortgage referral partnerships
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-mortgage-referral-partnerships-cs060/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Home-loan referral partnership to Licensed insurance and financial advisors in the Philippines. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 20 Contacts who replied (14 days)
- 52 Contacts reached
- 38.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Licensed insurance and financial advisors in the Philippines.
2. Make one offer easy to understand: Home-loan referral partnership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
20 of 52 contacts replied within 14 days — a 38.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Home-loan referral partnership. Its intended audience was Licensed insurance and financial advisors in the Philippines.

The useful message-design angle is Explore overlap between an advisor's clients and home-loan needs before proposing a partner call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 June 2026 to 10 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

52 contact records were reached through qualifying delivered or read outreach.

20 contacts replied within 14 days, equivalent to 38.5% of the measured cohort.

The cohort contained 307 outbound messages and 68 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 20 responding contacts, 17 replied within 24 hours and 19 within seven days. The median time to a first reply was about 1.3 hours, measured only among contacts who replied.

37 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Licensed insurance and financial advisors in the Philippines.

Make one offer easy to understand: Home-loan referral partnership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Home-loan referral partnership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 92 contacts replied from 272 reached: LinkedIn outreach for accountant referral partnerships
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-accountant-referral-partnerships-cs061/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Financial-advisory referral or licensing partnership to Tax preparers, bookkeepers and enrolled agents. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 92 Contacts who replied (14 days)
- 272 Contacts reached
- 33.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Tax preparers, bookkeepers and enrolled agents.
2. Make one offer easy to understand: Financial-advisory referral or licensing partnership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
92 of 272 contacts replied within 14 days — a 33.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Financial-advisory referral or licensing partnership. Its intended audience was Tax preparers, bookkeepers and enrolled agents.

The useful message-design angle is Begin with the tax professional's client base before discussing adjacent advisory services. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 June 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

272 contact records were reached through qualifying delivered or read outreach.

92 contacts replied within 14 days, equivalent to 33.8% of the measured cohort.

The cohort contained 1,023 outbound messages and 196 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 92 responding contacts, 58 replied within 24 hours and 90 within seven days. The median time to a first reply was about 4.7 hours, measured only among contacts who replied.

210 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Tax preparers, bookkeepers and enrolled agents.

Make one offer easy to understand: Financial-advisory referral or licensing partnership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Financial-advisory referral or licensing partnership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 106 contacts replied from 240 reached: LinkedIn outreach for introducing broker partnerships
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-introducing-broker-partnerships-cs062/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Broker referral and introducing-broker partnership to Established forex introducers, affiliates and trading-community operators. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 106 Contacts who replied (14 days)
- 240 Contacts reached
- 44.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Established forex introducers, affiliates and trading-community operators.
2. Make one offer easy to understand: Broker referral and introducing-broker partnership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
106 of 240 contacts replied within 14 days — a 44.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Broker referral and introducing-broker partnership. Its intended audience was Established forex introducers, affiliates and trading-community operators.

The useful message-design angle is Ask about partnership priorities instead of approaching prospects as retail traders. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 13 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

240 contact records were reached through qualifying delivered or read outreach.

106 contacts replied within 14 days, equivalent to 44.2% of the measured cohort.

The cohort contained 861 outbound messages and 329 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 106 responding contacts, 48 replied within 24 hours and 100 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

187 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Established forex introducers, affiliates and trading-community operators.

Make one offer easy to understand: Broker referral and introducing-broker partnership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Broker referral and introducing-broker partnership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 164 contacts replied from 629 reached: LinkedIn networking for payments professionals
URL: https://sbl.so/case-study/linkedin-linkedin-networking-for-payments-professionals-cs063/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Industry knowledge exchange and professional visibility to Senior digital-payments professionals in emerging markets. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 164 Contacts who replied (14 days)
- 629 Contacts reached
- 26.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Senior digital-payments professionals in emerging markets.
2. Make one offer easy to understand: Industry knowledge exchange and professional visibility.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
164 of 629 contacts replied within 14 days — a 26.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Industry knowledge exchange and professional visibility. Its intended audience was Senior digital-payments professionals in emerging markets.

The useful message-design angle is Build peer relationships without forcing a sales call into the conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

629 contact records were reached through qualifying delivered or read outreach.

164 contacts replied within 14 days, equivalent to 26.1% of the measured cohort.

The cohort contained 638 outbound messages and 178 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 164 responding contacts, 136 replied within 24 hours and 160 within seven days. The median time to a first reply was about 1.1 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Senior digital-payments professionals in emerging markets.

Make one offer easy to understand: Industry knowledge exchange and professional visibility.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Industry knowledge exchange and professional visibility. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 62 contacts replied from 216 reached: LinkedIn outreach for white label forex platforms
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-white-label-forex-platforms-cs064/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering White-label currency-exchange and remittance platform to Banks, nonbank lenders and fintech decision-makers in India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 62 Contacts who replied (14 days)
- 216 Contacts reached
- 28.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Banks, nonbank lenders and fintech decision-makers in India.
2. Make one offer easy to understand: White-label currency-exchange and remittance platform.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
62 of 216 contacts replied within 14 days — a 28.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around White-label currency-exchange and remittance platform. Its intended audience was Banks, nonbank lenders and fintech decision-makers in India.

The useful message-design angle is Explain a partner-branded service to institutions without an in-house forex operation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

216 contact records were reached through qualifying delivered or read outreach.

62 contacts replied within 14 days, equivalent to 28.7% of the measured cohort.

The cohort contained 592 outbound messages and 123 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 62 responding contacts, 29 replied within 24 hours and 58 within seven days. The median time to a first reply was about 25.0 hours, measured only among contacts who replied.

147 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Banks, nonbank lenders and fintech decision-makers in India.

Make one offer easy to understand: White-label currency-exchange and remittance platform.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: White-label currency-exchange and remittance platform. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 63 replies from 100 contacts: a local food-delivery launch
URL: https://sbl.so/case-study/food-delivery-linkedin-local-launch/
Industry: Hospitality & Events
Channel: LinkedIn

A food-delivery business invited existing LinkedIn connections to try its new local service. One outgoing message per contact brought replies, trial intent and useful feedback about availability.

Reported results:
- 63 Contacts who replied (14 days)
- 100 Contacts reached
- 63.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professional connections in Noida.
2. Make one offer easy to understand: New local meal-delivery service and first-order feedback.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
A new delivery area gives a local brand a timely reason to get in touch. This food-delivery business used that moment to invite its LinkedIn connections to try the service and share an honest reaction.

The analyzed campaign sent one outgoing message to each of 100 contacts. Sixty-three replied. One recipient later reported trying the food, while others revealed something equally actionable: they wanted to try it, but their area was not covered yet.



Turn an expansion announcement into a useful invitation

The business was expanding a freshly prepared food-delivery service into a new city in India. It wanted people to know the service was available, place a first order and share early feedback.

The audience consisted of existing LinkedIn connections associated with the launch location. That gave the message a recognizable starting point. Some recipients already knew the company or had followed its earlier progress.



Make the launch personal and the next step obvious

The message acknowledged the existing connection, announced the new location and explained the offer in a few lines. It included an app link and asked the recipient to report how the first order went.

The invitation was direct: try the service and tell us what you think. In this analyzed group, there were no recorded outgoing follow-ups during the two-week response window. The campaign gave the recipient one clear invitation to act on.



The workflow: announce, invite, listen

01Start with the connection

Acknowledge the existing relationship and share the local launch news.



02Invite a first experience

Explain the service, include the app link and ask for honest feedback.



03Read what comes back

Separate trial interest and feedback from questions, job requests and business approaches.



04Learn from the response

Use individual reports to understand the experience and identify areas that are not yet serviceable.



One recorded outgoing message per contact in the analyzed two-week window. The feedback examples below come from individual recipients; they are not a count of verified orders.



The messages behind the campaign

The invitationWould love for you to give it a try and share your feedback — honest reactions from early users help us get better every day.Actual message · excerpt

The next stepLet me know how your first order goes!Actual message · excerpt

A recipient's follow-upAmazing - just had the cold cofeee and poha and bun Maska ,Actual reply · three days after outreach

Another recipient's experiencelooks like my area is not serviceable yetActual reply · excerpt





The replies exposed a gap between interest and availability

One recipient first congratulated the business and said they would try it. Three days after the outreach, they reported having food from the service. That is a concrete customer statement, although an order record was not checked.

Other recipients opened the service and reported that their area was unavailable. The location-based audience was still broader than the delivery footprint. A willing customer could reach the app and have no way to order.

That makes this case valuable beyond the reply percentage. It shows how a launch conversation can expose friction between the marketing audience and the service actually available to them.



63 contacts replied after a single invitation

Of 100 distinct contacts, 63 replied within two weeks of their first message: a 63.0% reply rate. Each contact had one recorded outgoing message in that window.

The replies included congratulations, plans to try the service, a self-reported food experience and questions about availability. They also included unrelated approaches. The 63 replies should therefore be read as engagement, not as 63 new customers.



A local launch needs local precision

1Give people a timely reason to hear from you

A genuine expansion, opening or new service gives a local business a specific update to share with an existing network.





2Ask for a real experience

Make it easy to find the service and say what kind of feedback would help. A concrete invitation is easier to act on than a general request for support.





3Match the list to the service footprint

Before the next campaign, check whether the people you contact can actually use the offer. For delivery businesses, a city name may not be precise enough.







Use a launch invitation people can act on

Adaptable template · newly writtenHey [First name], a quick update—we've just launched [service] in [serviceable area].

We help you [one clear benefit]. If it covers your location, I'd love for you to try it and share an honest reaction.

Check availability here: [link]. Let me know how your first experience goes.



This campaign did not use a recorded follow-up in the analyzed window. Keep the first message clear, make availability easy to check and handle each reply according to what the person needs.



The most useful launch replies tell you more than whether someone noticed the announcement. They show who can use the offer, what stops them and what happens when they try it. Build room for that feedback into the campaign.

Adapt the local-launch workflow ↑



About these resultsBased on messages stored through 15 October 2026. The analyzed group contained 100 distinct contacts, each with one recorded outgoing message. Replies were checked over the following two weeks. Contacts with earlier incoming messages in the available history or overlapping outreach from other campaigns were excluded. The audience consisted of existing connections. Names and identifying links are omitted. Product use is a recipient's statement; orders, sales attribution and revenue were not independently verified.

---

## 37 contacts replied from 130 reached: LinkedIn outreach for healthcare grant consulting
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-healthcare-grant-consulting-cs066/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Grant-fit assessment and proposal-writing support to UK SME leaders developing cancer-care innovations. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 37 Contacts who replied (14 days)
- 130 Contacts reached
- 28.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK SME leaders developing cancer-care innovations.
2. Make one offer easy to understand: Grant-fit assessment and proposal-writing support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
37 of 130 contacts replied within 14 days — a 28.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Grant-fit assessment and proposal-writing support. Its intended audience was UK SME leaders developing cancer-care innovations.

The useful message-design angle is Use a relevant healthcare funding call to open a project-fit discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 June 2026 to 17 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

130 contact records were reached through qualifying delivered or read outreach.

37 contacts replied within 14 days, equivalent to 28.5% of the measured cohort.

The cohort contained 302 outbound messages and 65 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 37 responding contacts, 20 replied within 24 hours and 36 within seven days. The median time to a first reply was about 18.5 hours, measured only among contacts who replied.

69 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: UK SME leaders developing cancer-care innovations.

Make one offer easy to understand: Grant-fit assessment and proposal-writing support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Grant-fit assessment and proposal-writing support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 65 contacts replied from 215 reached: LinkedIn outreach for innovation grant consultants
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-innovation-grant-consultants-cs067/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Proof-of-concept grant assessment and proposal-writing support to UK businesses, researchers and public-sector innovators. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 65 Contacts who replied (14 days)
- 215 Contacts reached
- 30.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK businesses, researchers and public-sector innovators.
2. Make one offer easy to understand: Proof-of-concept grant assessment and proposal-writing support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
65 of 215 contacts replied within 14 days — a 30.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Proof-of-concept grant assessment and proposal-writing support. Its intended audience was UK businesses, researchers and public-sector innovators.

The useful message-design angle is Lead with a specific proof-of-concept funding opportunity before proposing application support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 July 2026 to 28 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

215 contact records were reached through qualifying delivered or read outreach.

65 contacts replied within 14 days, equivalent to 30.2% of the measured cohort.

The cohort contained 552 outbound messages and 119 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 65 responding contacts, 38 replied within 24 hours and 64 within seven days. The median time to a first reply was about 4.6 hours, measured only among contacts who replied.

139 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: UK businesses, researchers and public-sector innovators.

Make one offer easy to understand: Proof-of-concept grant assessment and proposal-writing support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Proof-of-concept grant assessment and proposal-writing support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 12 contacts replied from 56 reached: LinkedIn networking for private AI infrastructure
URL: https://sbl.so/case-study/linkedin-linkedin-networking-for-private-ai-infrastructure-cs068/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Peer technical discussion of private document AI infrastructure to CTOs and AI leaders in regulated technology sectors. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 12 Contacts who replied (14 days)
- 56 Contacts reached
- 21.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: CTOs and AI leaders in regulated technology sectors.
2. Make one offer easy to understand: Peer technical discussion of private document AI infrastructure.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
12 of 56 contacts replied within 14 days — a 21.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Peer technical discussion of private document AI infrastructure. Its intended audience was CTOs and AI leaders in regulated technology sectors.

The useful message-design angle is Ask about production constraints to invite an engineer-to-engineer comparison of approaches. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 June 2026 to 18 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

56 contact records were reached through qualifying delivered or read outreach.

12 contacts replied within 14 days, equivalent to 21.4% of the measured cohort.

The cohort contained 199 outbound messages and 34 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 12 responding contacts, 8 replied within 24 hours and 12 within seven days. The median time to a first reply was about 7.5 hours, measured only among contacts who replied.

48 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: CTOs and AI leaders in regulated technology sectors.

Make one offer easy to understand: Peer technical discussion of private document AI infrastructure.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Peer technical discussion of private document AI infrastructure. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 112 contacts replied from 369 reached: LinkedIn outreach for small business health insurance
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-small-business-health-insurance-cs069/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Employer health-insurance introduction to Small-company decision-makers in Hyderabad. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 112 Contacts who replied (14 days)
- 369 Contacts reached
- 30.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small-company decision-makers in Hyderabad.
2. Make one offer easy to understand: Employer health-insurance introduction.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
112 of 369 contacts replied within 14 days — a 30.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Employer health-insurance introduction. Its intended audience was Small-company decision-makers in Hyderabad.

The useful message-design angle is Introduce an employer-benefits service through a personal connection before requesting contact details. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 May 2026 to 23 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

369 contact records were reached through qualifying delivered or read outreach.

112 contacts replied within 14 days, equivalent to 30.4% of the measured cohort.

The cohort contained 2,083 outbound messages and 225 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 112 responding contacts, 67 replied within 24 hours and 110 within seven days. The median time to a first reply was about 4.1 hours, measured only among contacts who replied.

316 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Small-company decision-makers in Hyderabad.

Make one offer easy to understand: Employer health-insurance introduction.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Employer health-insurance introduction. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 298 contacts replied from 547 reached: LinkedIn to WhatsApp follow-up for training leads
URL: https://sbl.so/case-study/linkedin-linkedin-to-whatsapp-follow-up-for-training-leads-cs070/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering DevOps learning follow-up and WhatsApp continuation link to Engineers who commented and completed an interest form. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 298 Contacts who replied (14 days)
- 547 Contacts reached
- 54.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Engineers who commented and completed an interest form.
2. Make one offer easy to understand: DevOps learning follow-up and WhatsApp continuation link.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
298 of 547 contacts replied within 14 days — a 54.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around DevOps learning follow-up and WhatsApp continuation link. Its intended audience was Engineers who commented and completed an interest form.

The useful message-design angle is Continue an expressed learning interest on the next communication channel. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 December 2025 to 15 January 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

547 contact records were reached through qualifying delivered or read outreach.

298 contacts replied within 14 days, equivalent to 54.5% of the measured cohort.

The cohort contained 1,430 outbound messages and 840 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 298 responding contacts, 207 replied within 24 hours and 281 within seven days. The median time to a first reply was about 8.5 hours, measured only among contacts who replied.

185 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Engineers who commented and completed an interest form.

Make one offer easy to understand: DevOps learning follow-up and WhatsApp continuation link.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: DevOps learning follow-up and WhatsApp continuation link. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 167 contacts replied from 361 reached: LinkedIn outreach for practical DevOps bootcamps
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-practical-devops-bootcamps-cs071/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Structured practical DevOps bootcamp to Beginner and intermediate engineers learning cloud and delivery tools. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 167 Contacts who replied (14 days)
- 361 Contacts reached
- 46.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Beginner and intermediate engineers learning cloud and delivery tools.
2. Make one offer easy to understand: Structured practical DevOps bootcamp.
3. Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
167 of 361 contacts replied within 14 days — a 46.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Structured practical DevOps bootcamp. Its intended audience was Beginner and intermediate engineers learning cloud and delivery tools.

The useful message-design angle is Acknowledge scattered learning before discussing an end-to-end practical training path. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 February 2026 to 14 February 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

361 contact records were reached through qualifying delivered or read outreach.

167 contacts replied within 14 days, equivalent to 46.3% of the measured cohort.

The cohort contained 1,236 outbound messages and 519 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 167 responding contacts, 125 replied within 24 hours and 160 within seven days. The median time to a first reply was about 8.1 hours, measured only among contacts who replied.

152 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Beginner and intermediate engineers learning cloud and delivery tools.

Make one offer easy to understand: Structured practical DevOps bootcamp.

Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Structured practical DevOps bootcamp. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 54 contacts replied from 140 reached: LinkedIn recruiting for remote sales roles
URL: https://sbl.so/case-study/linkedin-linkedin-recruiting-for-remote-sales-roles-cs072/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Remote sales role matching to Early-career sales professionals in Southeast Asia. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 54 Contacts who replied (14 days)
- 140 Contacts reached
- 38.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Early-career sales professionals in Southeast Asia.
2. Make one offer easy to understand: Remote sales role matching.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
54 of 140 contacts replied within 14 days — a 38.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Remote sales role matching. Its intended audience was Early-career sales professionals in Southeast Asia.

The useful message-design angle is Connect relevant sales experience with openness to remote opportunities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 20 April 2026 to 14 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

140 contact records were reached through qualifying delivered or read outreach.

54 contacts replied within 14 days, equivalent to 38.6% of the measured cohort.

The cohort contained 250 outbound messages and 180 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 54 responding contacts, 32 replied within 24 hours and 48 within seven days. The median time to a first reply was about 10.4 hours, measured only among contacts who replied.

23 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Early-career sales professionals in Southeast Asia.

Make one offer easy to understand: Remote sales role matching.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Remote sales role matching. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 191 contacts replied from 591 reached: LinkedIn outreach for IT career consulting
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-it-career-consulting-cs073/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Job-search, resume and interview consulting to Employed IT professionals in India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 191 Contacts who replied (14 days)
- 591 Contacts reached
- 32.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Employed IT professionals in India.
2. Make one offer easy to understand: Job-search, resume and interview consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
191 of 591 contacts replied within 14 days — a 32.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Job-search, resume and interview consulting. Its intended audience was Employed IT professionals in India.

The useful message-design angle is Ask whether someone is exploring a move before discussing job-search support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 May 2026 to 4 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

591 contact records were reached through qualifying delivered or read outreach.

191 contacts replied within 14 days, equivalent to 32.3% of the measured cohort.

The cohort contained 900 outbound messages and 562 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 191 responding contacts, 128 replied within 24 hours and 175 within seven days. The median time to a first reply was about 9.3 hours, measured only among contacts who replied.

39 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Employed IT professionals in India.

Make one offer easy to understand: Job-search, resume and interview consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Job-search, resume and interview consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 99 reached: LinkedIn outreach for export sales services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-export-sales-services-cs074/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering International buyer discovery and export-sales support to Exporters seeking international buyers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 99 Contacts reached
- 23.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Exporters seeking international buyers.
2. Make one offer easy to understand: International buyer discovery and export-sales support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 99 contacts replied within 14 days — a 23.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around International buyer discovery and export-sales support. Its intended audience was Exporters seeking international buyers.

The useful message-design angle is Connect buyer access with the exporter's need for practical sales assistance. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 May 2026 to 8 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

99 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 23.2% of the measured cohort.

The cohort contained 157 outbound messages and 52 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 10 replied within 24 hours and 23 within seven days. The median time to a first reply was about 26.0 hours, measured only among contacts who replied.

33 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Exporters seeking international buyers.

Make one offer easy to understand: International buyer discovery and export-sales support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: International buyer discovery and export-sales support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 35 contacts replied from 131 reached: LinkedIn outreach for executive influence coaching
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-executive-influence-coaching-cs075/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Structured leadership and authority advisory to Senior corporate professionals considering their next career stage. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 35 Contacts who replied (14 days)
- 131 Contacts reached
- 26.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Senior corporate professionals considering their next career stage.
2. Make one offer easy to understand: Structured leadership and authority advisory.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
35 of 131 contacts replied within 14 days — a 26.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Structured leadership and authority advisory. Its intended audience was Senior corporate professionals considering their next career stage.

The useful message-design angle is Reopen a dormant connection around the leader's priorities for influence and progression. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

131 contact records were reached through qualifying delivered or read outreach.

35 contacts replied within 14 days, equivalent to 26.7% of the measured cohort.

The cohort contained 353 outbound messages and 90 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 35 responding contacts, 22 replied within 24 hours and 35 within seven days. The median time to a first reply was about 6.5 hours, measured only among contacts who replied.

102 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Senior corporate professionals considering their next career stage.

Make one offer easy to understand: Structured leadership and authority advisory.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Structured leadership and authority advisory. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 180 contacts replied from 351 reached: LinkedIn outreach for food manufacturing software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-food-manufacturing-software-cs076/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Factory digitization and manufacturing intelligence platform to FMCG food manufacturing operations professionals across Africa. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 180 Contacts who replied (14 days)
- 351 Contacts reached
- 51.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: FMCG food manufacturing operations professionals across Africa.
2. Make one offer easy to understand: Factory digitization and manufacturing intelligence platform.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
180 of 351 contacts replied within 14 days — a 51.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Factory digitization and manufacturing intelligence platform. Its intended audience was FMCG food manufacturing operations professionals across Africa.

The useful message-design angle is Introduce factory visibility tools in the context of food-production operations. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

351 contact records were reached through qualifying delivered or read outreach.

180 contacts replied within 14 days, equivalent to 51.3% of the measured cohort.

The cohort contained 374 outbound messages and 247 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 180 responding contacts, 132 replied within 24 hours and 173 within seven days. The median time to a first reply was about 2.4 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: FMCG food manufacturing operations professionals across Africa.

Make one offer easy to understand: Factory digitization and manufacturing intelligence platform.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Factory digitization and manufacturing intelligence platform. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 60 contacts replied from 214 reached: LinkedIn outreach for AI search visibility services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-search-visibility-services-cs077/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI search visibility audit and discovery services to Businesses interested in visibility on generative search engines. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 60 Contacts who replied (14 days)
- 214 Contacts reached
- 28.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Businesses interested in visibility on generative search engines.
2. Make one offer easy to understand: AI search visibility audit and discovery services.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
60 of 214 contacts replied within 14 days — a 28.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI search visibility audit and discovery services. Its intended audience was Businesses interested in visibility on generative search engines.

The useful message-design angle is Offer a relevant audit report before discussing discovery and visibility services. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 July 2026 to 24 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

214 contact records were reached through qualifying delivered or read outreach.

60 contacts replied within 14 days, equivalent to 28.0% of the measured cohort.

The cohort contained 568 outbound messages and 83 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 60 responding contacts, 29 replied within 24 hours and 57 within seven days. The median time to a first reply was about 24.2 hours, measured only among contacts who replied.

185 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Businesses interested in visibility on generative search engines.

Make one offer easy to understand: AI search visibility audit and discovery services.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI search visibility audit and discovery services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 44 contacts replied from 148 reached: LinkedIn lead generation for recruitment agencies
URL: https://sbl.so/case-study/linkedin-linkedin-lead-generation-for-recruitment-agencies-cs078/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Hiring-company lead data and outbound client-acquisition support to Recruitment business owners looking for hiring clients. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 44 Contacts who replied (14 days)
- 148 Contacts reached
- 29.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Recruitment business owners looking for hiring clients.
2. Make one offer easy to understand: Hiring-company lead data and outbound client-acquisition support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
44 of 148 contacts replied within 14 days — a 29.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Hiring-company lead data and outbound client-acquisition support. Its intended audience was Recruitment business owners looking for hiring clients.

The useful message-design angle is Offer a small sample of active hiring signals to make a lead-generation service tangible. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 August 2026 to 26 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

148 contact records were reached through qualifying delivered or read outreach.

44 contacts replied within 14 days, equivalent to 29.7% of the measured cohort.

The cohort contained 505 outbound messages and 58 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 44 responding contacts, 18 replied within 24 hours and 40 within seven days. The median time to a first reply was 2.4 days, measured only among contacts who replied.

126 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Recruitment business owners looking for hiring clients.

Make one offer easy to understand: Hiring-company lead data and outbound client-acquisition support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Hiring-company lead data and outbound client-acquisition support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 30 contacts replied from 107 reached: LinkedIn outreach for compliance automation software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-compliance-automation-software-cs079/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-enabled audit and continuous-compliance platform to Finance, operations, compliance and risk leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 30 Contacts who replied (14 days)
- 107 Contacts reached
- 28.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Finance, operations, compliance and risk leaders.
2. Make one offer easy to understand: AI-enabled audit and continuous-compliance platform.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
30 of 107 contacts replied within 14 days — a 28.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-enabled audit and continuous-compliance platform. Its intended audience was Finance, operations, compliance and risk leaders.

The useful message-design angle is Explore audit preparation pressure before discussing automated compliance support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 October 2025 to 7 October 2025. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

107 contact records were reached through qualifying delivered or read outreach.

30 contacts replied within 14 days, equivalent to 28.0% of the measured cohort.

The cohort contained 145 outbound messages and 52 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 30 responding contacts, 20 replied within 24 hours and 29 within seven days. The median time to a first reply was about 8.3 hours, measured only among contacts who replied.

38 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Finance, operations, compliance and risk leaders.

Make one offer easy to understand: AI-enabled audit and continuous-compliance platform.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-enabled audit and continuous-compliance platform. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 36 contacts replied from 98 reached: LinkedIn outreach for no code automation templates
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-no-code-automation-templates-cs080/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering No-code automation templates and custom automation support to Professionals seeking to automate business processes. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 36 Contacts who replied (14 days)
- 98 Contacts reached
- 36.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professionals seeking to automate business processes.
2. Make one offer easy to understand: No-code automation templates and custom automation support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
36 of 98 contacts replied within 14 days — a 36.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around No-code automation templates and custom automation support. Its intended audience was Professionals seeking to automate business processes.

The useful message-design angle is Pair an approachable connection message with resources relevant to workflow needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 September 2025 to 1 October 2025. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

98 contact records were reached through qualifying delivered or read outreach.

36 contacts replied within 14 days, equivalent to 36.7% of the measured cohort.

The cohort contained 160 outbound messages and 136 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 36 responding contacts, 20 replied within 24 hours and 34 within seven days. The median time to a first reply was about 17.9 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Professionals seeking to automate business processes.

Make one offer easy to understand: No-code automation templates and custom automation support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: No-code automation templates and custom automation support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 593 contacts replied from 1,772 reached: LinkedIn outreach for SaaS WhatsApp management
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-saas-whatsapp-management-cs081/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Multi-number WhatsApp group, chat and ticket management to Indian SaaS companies with mid-sized teams. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 593 Contacts who replied (14 days)
- 1,772 Contacts reached
- 33.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Indian SaaS companies with mid-sized teams.
2. Make one offer easy to understand: Multi-number WhatsApp group, chat and ticket management.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
593 of 1,772 contacts replied within 14 days — a 33.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Multi-number WhatsApp group, chat and ticket management. Its intended audience was Indian SaaS companies with mid-sized teams.

The useful message-design angle is Ask whether the team uses WhatsApp before explaining group and ticket-management capabilities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 16 February 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,772 contact records were reached through qualifying delivered or read outreach.

593 contacts replied within 14 days, equivalent to 33.5% of the measured cohort.

The cohort contained 6,235 outbound messages and 779 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 593 responding contacts, 158 replied within 24 hours and 460 within seven days. The median time to a first reply was 4.1 days, measured only among contacts who replied.

1,545 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Indian SaaS companies with mid-sized teams.

Make one offer easy to understand: Multi-number WhatsApp group, chat and ticket management.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Multi-number WhatsApp group, chat and ticket management. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 658 contacts replied from 2,257 reached: LinkedIn outreach for business WhatsApp workflows
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-business-whatsapp-workflows-cs082/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering WhatsApp communication management and focused product demo to Larger Indian businesses coordinating team sales and client-service chats. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 658 Contacts who replied (14 days)
- 2,257 Contacts reached
- 29.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Larger Indian businesses coordinating team sales and client-service chats.
2. Make one offer easy to understand: WhatsApp communication management and focused product demo.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
658 of 2,257 contacts replied within 14 days — a 29.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around WhatsApp communication management and focused product demo. Its intended audience was Larger Indian businesses coordinating team sales and client-service chats.

The useful message-design angle is Distinguish sales chats from service groups before choosing the most relevant demonstration. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 20 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

2,257 contact records were reached through qualifying delivered or read outreach.

658 contacts replied within 14 days, equivalent to 29.2% of the measured cohort.

The cohort contained 7,428 outbound messages and 1,304 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 658 responding contacts, 244 replied within 24 hours and 627 within seven days. The median time to a first reply was 2.1 days, measured only among contacts who replied.

1,987 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Larger Indian businesses coordinating team sales and client-service chats.

Make one offer easy to understand: WhatsApp communication management and focused product demo.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: WhatsApp communication management and focused product demo. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 13 contacts replied from 76 reached: LinkedIn outreach for ERP migration consulting
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-erp-migration-consulting-cs083/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Legacy ERP migration assessment and implementation consulting to Finance and IT leaders in manufacturing, distribution and retail. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 13 Contacts who replied (14 days)
- 76 Contacts reached
- 17.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Finance and IT leaders in manufacturing, distribution and retail.
2. Make one offer easy to understand: Legacy ERP migration assessment and implementation consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
13 of 76 contacts replied within 14 days — a 17.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Legacy ERP migration assessment and implementation consulting. Its intended audience was Finance and IT leaders in manufacturing, distribution and retail.

The useful message-design angle is Use a discovery conversation to assess the case for modernizing an existing ERP setup. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 January 2026 to 15 January 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

76 contact records were reached through qualifying delivered or read outreach.

13 contacts replied within 14 days, equivalent to 17.1% of the measured cohort.

The cohort contained 81 outbound messages and 18 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 13 responding contacts, 9 replied within 24 hours and 10 within seven days. The median time to a first reply was about 5.1 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Finance and IT leaders in manufacturing, distribution and retail.

Make one offer easy to understand: Legacy ERP migration assessment and implementation consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Legacy ERP migration assessment and implementation consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 22 contacts replied from 89 reached: LinkedIn outreach for outsourced startup sales
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-outsourced-startup-sales-cs084/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Managed outbound, landing pages and conversion operations to Early-stage startup founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 22 Contacts who replied (14 days)
- 89 Contacts reached
- 24.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Early-stage startup founders.
2. Make one offer easy to understand: Managed outbound, landing pages and conversion operations.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
22 of 89 contacts replied within 14 days — a 24.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Managed outbound, landing pages and conversion operations. Its intended audience was Early-stage startup founders.

The useful message-design angle is Present an alternative to building an internal growth team through a managed service. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 January 2026 to 13 January 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

89 contact records were reached through qualifying delivered or read outreach.

22 contacts replied within 14 days, equivalent to 24.7% of the measured cohort.

The cohort contained 145 outbound messages and 57 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 22 responding contacts, 13 replied within 24 hours and 22 within seven days. The median time to a first reply was about 16.7 hours, measured only among contacts who replied.

15 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Early-stage startup founders.

Make one offer easy to understand: Managed outbound, landing pages and conversion operations.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Managed outbound, landing pages and conversion operations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 59 contacts replied from 348 reached: LinkedIn outreach for AI engineering services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-engineering-services-cs085/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Dedicated AI engineering services to Startup founders and SaaS CTOs building AI products. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 59 Contacts who replied (14 days)
- 348 Contacts reached
- 17.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Startup founders and SaaS CTOs building AI products.
2. Make one offer easy to understand: Dedicated AI engineering services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
59 of 348 contacts replied within 14 days — a 17.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Dedicated AI engineering services. Its intended audience was Startup founders and SaaS CTOs building AI products.

The useful message-design angle is Make a team-extension proposition concrete through a defined engineering-service model. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 February 2026 to 15 March 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

348 contact records were reached through qualifying delivered or read outreach.

59 contacts replied within 14 days, equivalent to 17.0% of the measured cohort.

The cohort contained 507 outbound messages and 152 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 59 responding contacts, 39 replied within 24 hours and 56 within seven days. The median time to a first reply was about 10.0 hours, measured only among contacts who replied.

53 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Startup founders and SaaS CTOs building AI products.

Make one offer easy to understand: Dedicated AI engineering services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Dedicated AI engineering services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 24 contacts replied from 56 reached: LinkedIn outreach for AI assistant beta users
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-assistant-beta-users-cs086/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Early access to a voice-first email, calendar and task assistant to Solo founders and independent consultants. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 24 Contacts who replied (14 days)
- 56 Contacts reached
- 42.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Solo founders and independent consultants.
2. Make one offer easy to understand: Early access to a voice-first email, calendar and task assistant.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
24 of 56 contacts replied within 14 days — a 42.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Early access to a voice-first email, calendar and task assistant. Its intended audience was Solo founders and independent consultants.

The useful message-design angle is Start with a familiar workload question before inviting a beta signup. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 April 2026 to 21 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

56 contact records were reached through qualifying delivered or read outreach.

24 contacts replied within 14 days, equivalent to 42.9% of the measured cohort.

The cohort contained 63 outbound messages and 46 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 24 responding contacts, 19 replied within 24 hours and 24 within seven days. The median time to a first reply was about 7.2 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Solo founders and independent consultants.

Make one offer easy to understand: Early access to a voice-first email, calendar and task assistant.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Early access to a voice-first email, calendar and task assistant. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 29 contacts replied from 91 reached: LinkedIn outreach for resume review services
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-resume-review-services-cs087/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Recruiter-informed resume audit to Early and mid-career job seekers and recently laid-off professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 29 Contacts who replied (14 days)
- 91 Contacts reached
- 31.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Early and mid-career job seekers and recently laid-off professionals.
2. Make one offer easy to understand: Recruiter-informed resume audit.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
29 of 91 contacts replied within 14 days — a 31.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Recruiter-informed resume audit. Its intended audience was Early and mid-career job seekers and recently laid-off professionals.

The useful message-design angle is Offer a quick resume review before discussing a paid audit. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 March 2026 to 3 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

91 contact records were reached through qualifying delivered or read outreach.

29 contacts replied within 14 days, equivalent to 31.9% of the measured cohort.

The cohort contained 143 outbound messages and 62 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 29 responding contacts, 20 replied within 24 hours and 28 within seven days. The median time to a first reply was about 3.3 hours, measured only among contacts who replied.

16 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Early and mid-career job seekers and recently laid-off professionals.

Make one offer easy to understand: Recruiter-informed resume audit.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Recruiter-informed resume audit. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 33 contacts replied from 68 reached: LinkedIn networking for entry level AI jobs
URL: https://sbl.so/case-study/linkedin-linkedin-networking-for-entry-level-ai-jobs-cs088/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Entry-level AI and machine-learning engineering candidacy to AI and data-science professionals who could offer guidance or opportunities. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 33 Contacts who replied (14 days)
- 68 Contacts reached
- 48.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: AI and data-science professionals who could offer guidance or opportunities.
2. Make one offer easy to understand: Entry-level AI and machine-learning engineering candidacy.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
33 of 68 contacts replied within 14 days — a 48.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Entry-level AI and machine-learning engineering candidacy. Its intended audience was AI and data-science professionals who could offer guidance or opportunities.

The useful message-design angle is Use practical project experience to begin a guidance or opportunity conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 April 2026 to 3 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

68 contact records were reached through qualifying delivered or read outreach.

33 contacts replied within 14 days, equivalent to 48.5% of the measured cohort.

The cohort contained 251 outbound messages and 118 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 33 responding contacts, 13 replied within 24 hours and 32 within seven days. The median time to a first reply was about 28.2 hours, measured only among contacts who replied.

42 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: AI and data-science professionals who could offer guidance or opportunities.

Make one offer easy to understand: Entry-level AI and machine-learning engineering candidacy.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Entry-level AI and machine-learning engineering candidacy. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 38 contacts replied from 77 reached: LinkedIn outreach for AI engineering jobs
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-engineering-jobs-cs089/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Mid-level AI engineer candidacy for roles and contracts to HR and talent acquisition leads in North America and Europe. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 38 Contacts who replied (14 days)
- 77 Contacts reached
- 49.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: HR and talent acquisition leads in North America and Europe.
2. Make one offer easy to understand: Mid-level AI engineer candidacy for roles and contracts.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
38 of 77 contacts replied within 14 days — a 49.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Mid-level AI engineer candidacy for roles and contracts. Its intended audience was HR and talent acquisition leads in North America and Europe.

The useful message-design angle is Introduce practical engineering experience directly to hiring teams. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 April 2026 to 7 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

77 contact records were reached through qualifying delivered or read outreach.

38 contacts replied within 14 days, equivalent to 49.4% of the measured cohort.

The cohort contained 203 outbound messages and 95 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 38 responding contacts, 20 replied within 24 hours and 36 within seven days. The median time to a first reply was about 12.7 hours, measured only among contacts who replied.

55 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: HR and talent acquisition leads in North America and Europe.

Make one offer easy to understand: Mid-level AI engineer candidacy for roles and contracts.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Mid-level AI engineer candidacy for roles and contracts. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 91 contacts replied from 378 reached: LinkedIn outreach for manufacturing automation partners
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-manufacturing-automation-partners-cs090/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Software implementation of process-improvement recommendations to Manufacturing, Lean, quality and operations consultants advising small businesses. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 91 Contacts who replied (14 days)
- 378 Contacts reached
- 24.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Manufacturing, Lean, quality and operations consultants advising small businesses.
2. Make one offer easy to understand: Software implementation of process-improvement recommendations.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
91 of 378 contacts replied within 14 days — a 24.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Software implementation of process-improvement recommendations. Its intended audience was Manufacturing, Lean, quality and operations consultants advising small businesses.

The useful message-design angle is Discuss one client workflow to bridge advisory recommendations and software implementation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 August 2026 to 21 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

378 contact records were reached through qualifying delivered or read outreach.

91 contacts replied within 14 days, equivalent to 24.1% of the measured cohort.

The cohort contained 738 outbound messages and 230 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 91 responding contacts, 47 replied within 24 hours and 81 within seven days. The median time to a first reply was about 23.0 hours, measured only among contacts who replied.

80 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Manufacturing, Lean, quality and operations consultants advising small businesses.

Make one offer easy to understand: Software implementation of process-improvement recommendations.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Software implementation of process-improvement recommendations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 120 contacts replied from 493 reached: LinkedIn networking for B2B AI founders
URL: https://sbl.so/case-study/linkedin-linkedin-networking-for-b2b-ai-founders-cs091/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Professional network building around AI and business operations to European B2B AI founders and related professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 120 Contacts who replied (14 days)
- 493 Contacts reached
- 24.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: European B2B AI founders and related professionals.
2. Make one offer easy to understand: Professional network building around AI and business operations.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
120 of 493 contacts replied within 14 days — a 24.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Professional network building around AI and business operations. Its intended audience was European B2B AI founders and related professionals.

The useful message-design angle is Use relevant posts and shared interests to establish a first-degree network. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 29 May 2026 to 13 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

493 contact records were reached through qualifying delivered or read outreach.

120 contacts replied within 14 days, equivalent to 24.3% of the measured cohort.

The cohort contained 740 outbound messages and 154 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 120 responding contacts, 65 replied within 24 hours and 114 within seven days. The median time to a first reply was about 8.3 hours, measured only among contacts who replied.

218 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: European B2B AI founders and related professionals.

Make one offer easy to understand: Professional network building around AI and business operations.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Professional network building around AI and business operations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 136 contacts replied from 559 reached: LinkedIn outreach for EdTech voice AI
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-edtech-voice-ai-cs092/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Voice AI implementation consultation to Education-technology leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 136 Contacts who replied (14 days)
- 559 Contacts reached
- 24.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Education-technology leaders.
2. Make one offer easy to understand: Voice AI implementation consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
136 of 559 contacts replied within 14 days — a 24.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Voice AI implementation consultation. Its intended audience was Education-technology leaders.

The useful message-design angle is Offer an exploratory consultation to discuss where voice automation may fit. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 May 2026 to 11 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

559 contact records were reached through qualifying delivered or read outreach.

136 contacts replied within 14 days, equivalent to 24.3% of the measured cohort.

The cohort contained 1,245 outbound messages and 278 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 136 responding contacts, 71 replied within 24 hours and 126 within seven days. The median time to a first reply was about 20.1 hours, measured only among contacts who replied.

214 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Education-technology leaders.

Make one offer easy to understand: Voice AI implementation consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Voice AI implementation consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 29 contacts replied from 169 reached: LinkedIn launch campaign for browser AI agents
URL: https://sbl.so/case-study/linkedin-linkedin-launch-campaign-for-browser-ai-agents-cs093/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Browser-based AI agent introduction to Technology and marketing professionals interested in agents. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 29 Contacts who replied (14 days)
- 169 Contacts reached
- 17.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Technology and marketing professionals interested in agents.
2. Make one offer easy to understand: Browser-based AI agent introduction.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
29 of 169 contacts replied within 14 days — a 17.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Browser-based AI agent introduction. Its intended audience was Technology and marketing professionals interested in agents.

The useful message-design angle is Introduce the product through familiar workflow questions and a one-to-one conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 May 2026 to 30 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

169 contact records were reached through qualifying delivered or read outreach.

29 contacts replied within 14 days, equivalent to 17.2% of the measured cohort.

The cohort contained 306 outbound messages and 87 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 29 responding contacts, 16 replied within 24 hours and 27 within seven days. The median time to a first reply was about 7.5 hours, measured only among contacts who replied.

49 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Technology and marketing professionals interested in agents.

Make one offer easy to understand: Browser-based AI agent introduction.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Browser-based AI agent introduction. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 47 contacts replied from 143 reached: LinkedIn outreach for AI lead follow up software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-lead-follow-up-software-cs094/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-enabled lead response, qualification and follow-up system to Established service-business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 47 Contacts who replied (14 days)
- 143 Contacts reached
- 32.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Established service-business owners.
2. Make one offer easy to understand: AI-enabled lead response, qualification and follow-up system.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
47 of 143 contacts replied within 14 days — a 32.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-enabled lead response, qualification and follow-up system. Its intended audience was Established service-business owners.

The useful message-design angle is Begin with response and follow-up gaps before introducing an automated sales-support offer. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 August 2026 to 31 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

143 contact records were reached through qualifying delivered or read outreach.

47 contacts replied within 14 days, equivalent to 32.9% of the measured cohort.

The cohort contained 545 outbound messages and 95 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 47 responding contacts, 24 replied within 24 hours and 47 within seven days. The median time to a first reply was about 23.6 hours, measured only among contacts who replied.

119 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Established service-business owners.

Make one offer easy to understand: AI-enabled lead response, qualification and follow-up system.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-enabled lead response, qualification and follow-up system. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 152 contacts replied from 523 reached: LinkedIn outreach for business case study interviews
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-business-case-study-interviews-cs095/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Editorial workflow interview and tailored automation blueprint to Small-business operators with operational bottlenecks. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 152 Contacts who replied (14 days)
- 523 Contacts reached
- 29.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small-business operators with operational bottlenecks.
2. Make one offer easy to understand: Editorial workflow interview and tailored automation blueprint.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
152 of 523 contacts replied within 14 days — a 29.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Editorial workflow interview and tailored automation blueprint. Its intended audience was Small-business operators with operational bottlenecks.

The useful message-design angle is Exchange a short operational interview for a useful blueprint with a choice of attribution. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 May 2026 to 18 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

523 contact records were reached through qualifying delivered or read outreach.

152 contacts replied within 14 days, equivalent to 29.1% of the measured cohort.

The cohort contained 1,125 outbound messages and 208 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 152 responding contacts, 68 replied within 24 hours and 127 within seven days. The median time to a first reply was about 37.9 hours, measured only among contacts who replied.

370 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Small-business operators with operational bottlenecks.

Make one offer easy to understand: Editorial workflow interview and tailored automation blueprint.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Editorial workflow interview and tailored automation blueprint. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 129 contacts replied from 515 reached: LinkedIn outreach for small manufacturing automation
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-small-manufacturing-automation-cs096/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Centralized operational system and automation implementation to Owners of small Dutch manufacturing and technical-service businesses. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 129 Contacts who replied (14 days)
- 515 Contacts reached
- 25.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Owners of small Dutch manufacturing and technical-service businesses.
2. Make one offer easy to understand: Centralized operational system and automation implementation.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
129 of 515 contacts replied within 14 days — a 25.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Centralized operational system and automation implementation. Its intended audience was Owners of small Dutch manufacturing and technical-service businesses.

The useful message-design angle is Ask how operational oversight changed as a small business grew. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 7 May 2026 to 9 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

515 contact records were reached through qualifying delivered or read outreach.

129 contacts replied within 14 days, equivalent to 25.0% of the measured cohort.

The cohort contained 1,549 outbound messages and 285 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 129 responding contacts, 65 replied within 24 hours and 111 within seven days. The median time to a first reply was about 24.0 hours, measured only among contacts who replied.

401 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Owners of small Dutch manufacturing and technical-service businesses.

Make one offer easy to understand: Centralized operational system and automation implementation.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Centralized operational system and automation implementation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 75 contacts replied from 255 reached: LinkedIn outreach for AI process audits
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-process-audits-cs097/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI regulation and process scan with an introductory consultation to SME business owners in an existing professional network. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 75 Contacts who replied (14 days)
- 255 Contacts reached
- 29.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: SME business owners in an existing professional network.
2. Make one offer easy to understand: AI regulation and process scan with an introductory consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
75 of 255 contacts replied within 14 days — a 29.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI regulation and process scan with an introductory consultation. Its intended audience was SME business owners in an existing professional network.

The useful message-design angle is Use a peer's operational experience to ask how the prospect organizes projects and clients. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 May 2026 to 13 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

255 contact records were reached through qualifying delivered or read outreach.

75 contacts replied within 14 days, equivalent to 29.4% of the measured cohort.

The cohort contained 1,291 outbound messages and 150 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 75 responding contacts, 30 replied within 24 hours and 74 within seven days. The median time to a first reply was about 30.0 hours, measured only among contacts who replied.

219 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: SME business owners in an existing professional network.

Make one offer easy to understand: AI regulation and process scan with an introductory consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI regulation and process scan with an introductory consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 47 contacts replied from 139 reached: LinkedIn outreach for AI strategy consulting
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-ai-strategy-consulting-cs098/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Personalized AI maturity report, use-case priorities and roadmap to Startup and SME founders and operators interested in AI. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 47 Contacts who replied (14 days)
- 139 Contacts reached
- 33.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Startup and SME founders and operators interested in AI.
2. Make one offer easy to understand: Personalized AI maturity report, use-case priorities and roadmap.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
47 of 139 contacts replied within 14 days — a 33.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Personalized AI maturity report, use-case priorities and roadmap. Its intended audience was Startup and SME founders and operators interested in AI.

The useful message-design angle is Make a strategy report the first useful interaction before suggesting deeper consulting. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 June 2026 to 29 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

139 contact records were reached through qualifying delivered or read outreach.

47 contacts replied within 14 days, equivalent to 33.8% of the measured cohort.

The cohort contained 373 outbound messages and 100 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 47 responding contacts, 22 replied within 24 hours and 39 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

111 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Startup and SME founders and operators interested in AI.

Make one offer easy to understand: Personalized AI maturity report, use-case priorities and roadmap.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Personalized AI maturity report, use-case priorities and roadmap. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 106 contacts replied from 265 reached: LinkedIn community application follow-up
URL: https://sbl.so/case-study/linkedin-linkedin-community-application-follow-up-cs099/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI product-enablement practitioner collective to Product, engineering, enablement and adoption professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 106 Contacts who replied (14 days)
- 265 Contacts reached
- 40.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Product, engineering, enablement and adoption professionals.
2. Make one offer easy to understand: AI product-enablement practitioner collective.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
106 of 265 contacts replied within 14 days — a 40.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI product-enablement practitioner collective. Its intended audience was Product, engineering, enablement and adoption professionals.

The useful message-design angle is Give interested commenters a clear next step into a practitioner application process. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

265 contact records were reached through qualifying delivered or read outreach.

106 contacts replied within 14 days, equivalent to 40.0% of the measured cohort.

The cohort contained 631 outbound messages and 163 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 106 responding contacts, 39 replied within 24 hours and 100 within seven days. The median time to a first reply was 2.8 days, measured only among contacts who replied.

210 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Product, engineering, enablement and adoption professionals.

Make one offer easy to understand: AI product-enablement practitioner collective.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI product-enablement practitioner collective. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 13 contacts replied from 59 reached: LinkedIn outreach for sales coaching automation
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-sales-coaching-automation-cs100/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI operational support for pipeline qualification and follow-up to Sales coaches, trainers and B2B sales consultants in India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 13 Contacts who replied (14 days)
- 59 Contacts reached
- 22.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Sales coaches, trainers and B2B sales consultants in India.
2. Make one offer easy to understand: AI operational support for pipeline qualification and follow-up.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
13 of 59 contacts replied within 14 days — a 22.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI operational support for pipeline qualification and follow-up. Its intended audience was Sales coaches, trainers and B2B sales consultants in India.

The useful message-design angle is Relate the coach's own follow-up workflow to the sales discipline they teach. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 July 2026 to 29 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

59 contact records were reached through qualifying delivered or read outreach.

13 contacts replied within 14 days, equivalent to 22.0% of the measured cohort.

The cohort contained 142 outbound messages and 40 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 13 responding contacts, 7 replied within 24 hours and 12 within seven days. The median time to a first reply was about 4.7 hours, measured only among contacts who replied.

17 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Sales coaches, trainers and B2B sales consultants in India.

Make one offer easy to understand: AI operational support for pipeline qualification and follow-up.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI operational support for pipeline qualification and follow-up. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 70 contacts replied from 295 reached: LinkedIn outreach for wholesalers
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-wholesalers-cs101/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering Custom AI for wholesale and B2B retail operations to Wholesale and B2B retail decision-makers in Argentina. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 70 Contacts who replied (14 days)
- 295 Contacts reached
- 23.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Wholesale and B2B retail decision-makers in Argentina.
2. Make one offer easy to understand: Custom AI for wholesale and B2B retail operations.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
70 of 295 contacts replied within 14 days — a 23.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Custom AI for wholesale and B2B retail operations. Its intended audience was Wholesale and B2B retail decision-makers in Argentina.

The useful message-design angle is Industry-specific AI introduction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 29 May 2026 to 21 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

295 contact records were reached through qualifying delivered or read outreach.

70 contacts replied within 14 days, equivalent to 23.7% of the measured cohort.

The cohort contained 560 outbound messages and 98 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 70 responding contacts, 32 replied within 24 hours and 40 within seven days. The median time to a first reply was 3.1 days, measured only among contacts who replied.

222 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Wholesale and B2B retail decision-makers in Argentina.

Make one offer easy to understand: Custom AI for wholesale and B2B retail operations.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Custom AI for wholesale and B2B retail operations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 21 contacts replied from 99 reached: LinkedIn investor outreach for software startups
URL: https://sbl.so/case-study/linkedin-linkedin-investor-outreach-for-software-startups-cs102/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Seed investment in multilingual enterprise communication software to Angel investors and early-stage enterprise software investors. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 21 Contacts who replied (14 days)
- 99 Contacts reached
- 21.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Angel investors and early-stage enterprise software investors.
2. Make one offer easy to understand: Seed investment in multilingual enterprise communication software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
21 of 99 contacts replied within 14 days — a 21.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Seed investment in multilingual enterprise communication software. Its intended audience was Angel investors and early-stage enterprise software investors.

The useful message-design angle is Investment thesis and sector fit. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 May 2026 to 23 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

99 contact records were reached through qualifying delivered or read outreach.

21 contacts replied within 14 days, equivalent to 21.2% of the measured cohort.

The cohort contained 275 outbound messages and 42 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 21 responding contacts, 6 replied within 24 hours and 18 within seven days. The median time to a first reply was about 27.0 hours, measured only among contacts who replied.

91 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Angel investors and early-stage enterprise software investors.

Make one offer easy to understand: Seed investment in multilingual enterprise communication software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Seed investment in multilingual enterprise communication software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 20 contacts replied from 90 reached: LinkedIn IT security outreach
URL: https://sbl.so/case-study/linkedin-linkedin-it-security-outreach-cs103/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering IT security, infrastructure and support consultation to Singapore business owners and IT managers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 20 Contacts who replied (14 days)
- 90 Contacts reached
- 22.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Singapore business owners and IT managers.
2. Make one offer easy to understand: IT security, infrastructure and support consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
20 of 90 contacts replied within 14 days — a 22.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around IT security, infrastructure and support consultation. Its intended audience was Singapore business owners and IT managers.

The useful message-design angle is Consultation around the existing technology environment. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 June 2026 to 15 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

90 contact records were reached through qualifying delivered or read outreach.

20 contacts replied within 14 days, equivalent to 22.2% of the measured cohort.

The cohort contained 145 outbound messages and 32 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 20 responding contacts, 5 replied within 24 hours and 19 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

23 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Singapore business owners and IT managers.

Make one offer easy to understand: IT security, infrastructure and support consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: IT security, infrastructure and support consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 90 contacts replied from 175 reached: LinkedIn outreach from post engagement
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-from-post-engagement-cs104/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Software design and development services to Startup founders, executives and product managers engaging with a technology launch. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 90 Contacts who replied (14 days)
- 175 Contacts reached
- 51.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Startup founders, executives and product managers engaging with a technology launch.
2. Make one offer easy to understand: Software design and development services.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
90 of 175 contacts replied within 14 days — a 51.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Software design and development services. Its intended audience was Startup founders, executives and product managers engaging with a technology launch.

The useful message-design angle is A building-focused question before discussing delivery needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 June 2026 to 15 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

175 contact records were reached through qualifying delivered or read outreach.

90 contacts replied within 14 days, equivalent to 51.4% of the measured cohort.

The cohort contained 399 outbound messages and 311 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 90 responding contacts, 63 replied within 24 hours and 90 within seven days. The median time to a first reply was about 3.8 hours, measured only among contacts who replied.

81 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Startup founders, executives and product managers engaging with a technology launch.

Make one offer easy to understand: Software design and development services.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Software design and development services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 63 contacts replied from 173 reached: LinkedIn startup software development outreach
URL: https://sbl.so/case-study/linkedin-linkedin-startup-software-development-outreach-cs105/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Human-led development supported by AI tools to Startup leaders facing software delivery constraints. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 63 Contacts who replied (14 days)
- 173 Contacts reached
- 36.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Startup leaders facing software delivery constraints.
2. Make one offer easy to understand: Human-led development supported by AI tools.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
63 of 173 contacts replied within 14 days — a 36.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Human-led development supported by AI tools. Its intended audience was Startup leaders facing software delivery constraints.

The useful message-design angle is Delivery challenges as the conversation opener. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 August 2026 to 25 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

173 contact records were reached through qualifying delivered or read outreach.

63 contacts replied within 14 days, equivalent to 36.4% of the measured cohort.

The cohort contained 528 outbound messages and 149 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 63 responding contacts, 41 replied within 24 hours and 54 within seven days. The median time to a first reply was about 1.8 hours, measured only among contacts who replied.

129 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Startup leaders facing software delivery constraints.

Make one offer easy to understand: Human-led development supported by AI tools.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Human-led development supported by AI tools. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 163 contacts replied from 751 reached: LinkedIn community outreach for IT founders
URL: https://sbl.so/case-study/linkedin-linkedin-community-outreach-for-it-founders-cs106/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Founder sales mentoring and community participation to Small IT services founders in English-speaking markets. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 163 Contacts who replied (14 days)
- 751 Contacts reached
- 21.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small IT services founders in English-speaking markets.
2. Make one offer easy to understand: Founder sales mentoring and community participation.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
163 of 751 contacts replied within 14 days — a 21.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Founder sales mentoring and community participation. Its intended audience was Small IT services founders in English-speaking markets.

The useful message-design angle is Community entry before a sales-process discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 May 2026 to 30 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

751 contact records were reached through qualifying delivered or read outreach.

163 contacts replied within 14 days, equivalent to 21.7% of the measured cohort.

The cohort contained 1,330 outbound messages and 312 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 163 responding contacts, 75 replied within 24 hours and 132 within seven days. The median time to a first reply was about 38.2 hours, measured only among contacts who replied.

232 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Small IT services founders in English-speaking markets.

Make one offer easy to understand: Founder sales mentoring and community participation.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Founder sales mentoring and community participation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 36 contacts replied from 160 reached: LinkedIn designer recruitment
URL: https://sbl.so/case-study/linkedin-linkedin-designer-recruitment-cs107/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Paid design work on complex native and desktop applications to UI and UX designers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 36 Contacts who replied (14 days)
- 160 Contacts reached
- 22.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UI and UX designers.
2. Make one offer easy to understand: Paid design work on complex native and desktop applications.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
36 of 160 contacts replied within 14 days — a 22.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Paid design work on complex native and desktop applications. Its intended audience was UI and UX designers.

The useful message-design angle is A clear project context and portfolio request. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 May 2026 to 10 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

160 contact records were reached through qualifying delivered or read outreach.

36 contacts replied within 14 days, equivalent to 22.5% of the measured cohort.

The cohort contained 281 outbound messages and 71 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 36 responding contacts, 14 replied within 24 hours and 35 within seven days. The median time to a first reply was about 26.8 hours, measured only among contacts who replied.

39 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: UI and UX designers.

Make one offer easy to understand: Paid design work on complex native and desktop applications.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Paid design work on complex native and desktop applications. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 32 contacts replied from 53 reached: LinkedIn AI security assessment outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ai-security-assessment-outreach-cs108/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI security assessment eligibility discussion to Singapore SMEs already using AI. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 32 Contacts who replied (14 days)
- 53 Contacts reached
- 60.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Singapore SMEs already using AI.
2. Make one offer easy to understand: AI security assessment eligibility discussion.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
32 of 53 contacts replied within 14 days — a 60.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI security assessment eligibility discussion. Its intended audience was Singapore SMEs already using AI.

The useful message-design angle is Qualifying current AI use before an assessment. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 June 2026 to 8 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

53 contact records were reached through qualifying delivered or read outreach.

32 contacts replied within 14 days, equivalent to 60.4% of the measured cohort.

The cohort contained 213 outbound messages and 50 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 32 responding contacts, 12 replied within 24 hours and 32 within seven days. The median time to a first reply was about 25.4 hours, measured only among contacts who replied.

41 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Singapore SMEs already using AI.

Make one offer easy to understand: AI security assessment eligibility discussion.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI security assessment eligibility discussion. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 19 contacts replied from 59 reached: LinkedIn public sector AI outreach
URL: https://sbl.so/case-study/linkedin-linkedin-public-sector-ai-outreach-cs109/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI automation pilots for government workflows to Public-sector IT and digital transformation leaders in northeastern India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 19 Contacts who replied (14 days)
- 59 Contacts reached
- 32.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Public-sector IT and digital transformation leaders in northeastern India.
2. Make one offer easy to understand: AI automation pilots for government workflows.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
19 of 59 contacts replied within 14 days — a 32.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI automation pilots for government workflows. Its intended audience was Public-sector IT and digital transformation leaders in northeastern India.

The useful message-design angle is Operational use cases ahead of a procurement discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 2 June 2026 to 8 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

59 contact records were reached through qualifying delivered or read outreach.

19 contacts replied within 14 days, equivalent to 32.2% of the measured cohort.

The cohort contained 135 outbound messages and 32 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 19 responding contacts, 11 replied within 24 hours and 19 within seven days. The median time to a first reply was about 3.9 hours, measured only among contacts who replied.

33 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Public-sector IT and digital transformation leaders in northeastern India.

Make one offer easy to understand: AI automation pilots for government workflows.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI automation pilots for government workflows. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 29 contacts replied from 67 reached: LinkedIn outreach to UGC creators
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-to-ugc-creators-cs110/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Client management and content production software to User-generated content creators in Sweden. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 29 Contacts who replied (14 days)
- 67 Contacts reached
- 43.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: User-generated content creators in Sweden.
2. Make one offer easy to understand: Client management and content production software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
29 of 67 contacts replied within 14 days — a 43.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Client management and content production software. Its intended audience was User-generated content creators in Sweden.

The useful message-design angle is Creator operations rather than a generic software pitch. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 June 2026 to 10 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

67 contact records were reached through qualifying delivered or read outreach.

29 contacts replied within 14 days, equivalent to 43.3% of the measured cohort.

The cohort contained 115 outbound messages and 44 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 29 responding contacts, 17 replied within 24 hours and 28 within seven days. The median time to a first reply was about 6.6 hours, measured only among contacts who replied.

48 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: User-generated content creators in Sweden.

Make one offer easy to understand: Client management and content production software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Client management and content production software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 30 contacts replied from 87 reached: LinkedIn supplier risk software outreach
URL: https://sbl.so/case-study/linkedin-linkedin-supplier-risk-software-outreach-cs111/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI supplier-risk and compliance software to Internal auditors. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 30 Contacts who replied (14 days)
- 87 Contacts reached
- 34.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Internal auditors.
2. Make one offer easy to understand: AI supplier-risk and compliance software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
30 of 87 contacts replied within 14 days — a 34.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI supplier-risk and compliance software. Its intended audience was Internal auditors.

The useful message-design angle is A role-specific compliance use case. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 August 2026 to 28 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

87 contact records were reached through qualifying delivered or read outreach.

30 contacts replied within 14 days, equivalent to 34.5% of the measured cohort.

The cohort contained 216 outbound messages and 33 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 30 responding contacts, 14 replied within 24 hours and 24 within seven days. The median time to a first reply was about 25.4 hours, measured only among contacts who replied.

67 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Internal auditors.

Make one offer easy to understand: AI supplier-risk and compliance software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI supplier-risk and compliance software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 106 contacts replied from 341 reached: LinkedIn recruitment for remote design projects
URL: https://sbl.so/case-study/linkedin-linkedin-recruitment-for-remote-design-projects-cs112/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Paid remote AI design and localization project to Designers based in Spain. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 106 Contacts who replied (14 days)
- 341 Contacts reached
- 31.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Designers based in Spain.
2. Make one offer easy to understand: Paid remote AI design and localization project.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
106 of 341 contacts replied within 14 days — a 31.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Paid remote AI design and localization project. Its intended audience was Designers based in Spain.

The useful message-design angle is Qualification through a project application form. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 July 2026 to 16 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

341 contact records were reached through qualifying delivered or read outreach.

106 contacts replied within 14 days, equivalent to 31.1% of the measured cohort.

The cohort contained 803 outbound messages and 218 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 106 responding contacts, 64 replied within 24 hours and 103 within seven days. The median time to a first reply was about 16.2 hours, measured only among contacts who replied.

108 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Designers based in Spain.

Make one offer easy to understand: Paid remote AI design and localization project.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Paid remote AI design and localization project. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 41 contacts replied from 212 reached: LinkedIn post event follow up
URL: https://sbl.so/case-study/linkedin-linkedin-post-event-follow-up-cs113/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI agents for voice and business messaging workflows to Startup founders and executives previously met at a technology exhibition. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 41 Contacts who replied (14 days)
- 212 Contacts reached
- 19.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Startup founders and executives previously met at a technology exhibition.
2. Make one offer easy to understand: AI agents for voice and business messaging workflows.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
41 of 212 contacts replied within 14 days — a 19.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI agents for voice and business messaging workflows. Its intended audience was Startup founders and executives previously met at a technology exhibition.

The useful message-design angle is Shared event context before introducing automation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 June 2026 to 3 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

212 contact records were reached through qualifying delivered or read outreach.

41 contacts replied within 14 days, equivalent to 19.3% of the measured cohort.

The cohort contained 441 outbound messages and 70 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 41 responding contacts, 27 replied within 24 hours and 41 within seven days. The median time to a first reply was about 9.5 hours, measured only among contacts who replied.

78 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Startup founders and executives previously met at a technology exhibition.

Make one offer easy to understand: AI agents for voice and business messaging workflows.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI agents for voice and business messaging workflows. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 65 contacts replied from 212 reached: LinkedIn mobility investment outreach
URL: https://sbl.so/case-study/linkedin-linkedin-mobility-investment-outreach-cs114/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Asset-backed mobility and electric-vehicle finance investment opportunity to Institutional and family-office investors in Southeast Asia. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 65 Contacts who replied (14 days)
- 212 Contacts reached
- 30.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Institutional and family-office investors in Southeast Asia.
2. Make one offer easy to understand: Asset-backed mobility and electric-vehicle finance investment opportunity.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
65 of 212 contacts replied within 14 days — a 30.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Asset-backed mobility and electric-vehicle finance investment opportunity. Its intended audience was Institutional and family-office investors in Southeast Asia.

The useful message-design angle is Investor fit before sharing investment materials. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 31 July 2026 to 22 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

212 contact records were reached through qualifying delivered or read outreach.

65 contacts replied within 14 days, equivalent to 30.7% of the measured cohort.

The cohort contained 607 outbound messages and 116 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 65 responding contacts, 30 replied within 24 hours and 52 within seven days. The median time to a first reply was 2.2 days, measured only among contacts who replied.

168 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Institutional and family-office investors in Southeast Asia.

Make one offer easy to understand: Asset-backed mobility and electric-vehicle finance investment opportunity.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Asset-backed mobility and electric-vehicle finance investment opportunity. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 123 contacts replied from 473 reached: LinkedIn outreach for logistics communication software
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-for-logistics-communication-software-cs115/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Centralized business messaging software to Logistics and supply-chain operations leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 123 Contacts who replied (14 days)
- 473 Contacts reached
- 26.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Logistics and supply-chain operations leaders.
2. Make one offer easy to understand: Centralized business messaging software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
123 of 473 contacts replied within 14 days — a 26.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Centralized business messaging software. Its intended audience was Logistics and supply-chain operations leaders.

The useful message-design angle is A demonstration focused on fragmented operational chats. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 August 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

473 contact records were reached through qualifying delivered or read outreach.

123 contacts replied within 14 days, equivalent to 26.0% of the measured cohort.

The cohort contained 1,857 outbound messages and 234 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 123 responding contacts, 67 replied within 24 hours and 119 within seven days. The median time to a first reply was about 9.5 hours, measured only among contacts who replied.

405 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Logistics and supply-chain operations leaders.

Make one offer easy to understand: Centralized business messaging software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Centralized business messaging software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 253 contacts replied from 831 reached: LinkedIn agency client communication outreach
URL: https://sbl.so/case-study/linkedin-linkedin-agency-client-communication-outreach-cs116/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Centralized client messaging and multi-number coordination software to Marketing agency operations leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 253 Contacts who replied (14 days)
- 831 Contacts reached
- 30.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Marketing agency operations leaders.
2. Make one offer easy to understand: Centralized client messaging and multi-number coordination software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
253 of 831 contacts replied within 14 days — a 30.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Centralized client messaging and multi-number coordination software. Its intended audience was Marketing agency operations leaders.

The useful message-design angle is The operational cost of scattered client conversations. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

831 contact records were reached through qualifying delivered or read outreach.

253 contacts replied within 14 days, equivalent to 30.4% of the measured cohort.

The cohort contained 3,251 outbound messages and 509 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 253 responding contacts, 89 replied within 24 hours and 246 within seven days. The median time to a first reply was about 30.8 hours, measured only among contacts who replied.

722 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Marketing agency operations leaders.

Make one offer easy to understand: Centralized client messaging and multi-number coordination software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Centralized client messaging and multi-number coordination software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 70 contacts replied from 166 reached: LinkedIn outsourced development partnerships
URL: https://sbl.so/case-study/linkedin-linkedin-outsourced-development-partnerships-cs117/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Outsourced web, application, design and content-management development to Service firms and independent professionals in international markets. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 70 Contacts who replied (14 days)
- 166 Contacts reached
- 42.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Service firms and independent professionals in international markets.
2. Make one offer easy to understand: Outsourced web, application, design and content-management development.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
70 of 166 contacts replied within 14 days — a 42.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Outsourced web, application, design and content-management development. Its intended audience was Service firms and independent professionals in international markets.

The useful message-design angle is External delivery capacity for project-based work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 June 2026 to 30 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

166 contact records were reached through qualifying delivered or read outreach.

70 contacts replied within 14 days, equivalent to 42.2% of the measured cohort.

The cohort contained 517 outbound messages and 214 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 70 responding contacts, 34 replied within 24 hours and 68 within seven days. The median time to a first reply was about 24.0 hours, measured only among contacts who replied.

131 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Service firms and independent professionals in international markets.

Make one offer easy to understand: Outsourced web, application, design and content-management development.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Outsourced web, application, design and content-management development. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 10 contacts replied from 59 reached: AI LinkedIn outreach software
URL: https://sbl.so/case-study/linkedin-ai-linkedin-outreach-software-cs118/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-supported LinkedIn outreach software to B2B decision-makers considering outbound automation. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 10 Contacts who replied (14 days)
- 59 Contacts reached
- 16.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: B2B decision-makers considering outbound automation.
2. Make one offer easy to understand: AI-supported LinkedIn outreach software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
10 of 59 contacts replied within 14 days — a 16.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-supported LinkedIn outreach software. Its intended audience was B2B decision-makers considering outbound automation.

The useful message-design angle is An introduction to automated outreach capabilities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 September 2026 to 1 October 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

59 contact records were reached through qualifying delivered or read outreach.

10 contacts replied within 14 days, equivalent to 16.9% of the measured cohort.

The cohort contained 98 outbound messages and 22 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 10 responding contacts, 5 replied within 24 hours and 10 within seven days. The median time to a first reply was about 18.5 hours, measured only among contacts who replied.

15 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: B2B decision-makers considering outbound automation.

Make one offer easy to understand: AI-supported LinkedIn outreach software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-supported LinkedIn outreach software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 94 contacts replied from 217 reached: LinkedIn content partnership outreach
URL: https://sbl.so/case-study/linkedin-linkedin-content-partnership-outreach-cs119/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Guest content and resource collaboration to SEO and content leaders at complementary B2B software and marketing publications. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 94 Contacts who replied (14 days)
- 217 Contacts reached
- 43.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: SEO and content leaders at complementary B2B software and marketing publications.
2. Make one offer easy to understand: Guest content and resource collaboration.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
94 of 217 contacts replied within 14 days — a 43.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Guest content and resource collaboration. Its intended audience was SEO and content leaders at complementary B2B software and marketing publications.

The useful message-design angle is Relevant editorial collaboration rather than a generic link request. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 July 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

217 contact records were reached through qualifying delivered or read outreach.

94 contacts replied within 14 days, equivalent to 43.3% of the measured cohort.

The cohort contained 261 outbound messages and 152 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 94 responding contacts, 74 replied within 24 hours and 90 within seven days. The median time to a first reply was about 1.4 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: SEO and content leaders at complementary B2B software and marketing publications.

Make one offer easy to understand: Guest content and resource collaboration.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Guest content and resource collaboration. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 47 contacts replied from 258 reached: LinkedIn student sales recruitment
URL: https://sbl.so/case-study/linkedin-linkedin-student-sales-recruitment-cs120/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Part-time remote sales development employment to Students seeking sales development work. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 47 Contacts who replied (14 days)
- 258 Contacts reached
- 18.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Students seeking sales development work.
2. Make one offer easy to understand: Part-time remote sales development employment.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
47 of 258 contacts replied within 14 days — a 18.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Part-time remote sales development employment. Its intended audience was Students seeking sales development work.

The useful message-design angle is Role expectations before a screening conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 June 2026 to 4 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

258 contact records were reached through qualifying delivered or read outreach.

47 contacts replied within 14 days, equivalent to 18.2% of the measured cohort.

The cohort contained 379 outbound messages and 82 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 47 responding contacts, 20 replied within 24 hours and 45 within seven days. The median time to a first reply was about 31.4 hours, measured only among contacts who replied.

45 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Students seeking sales development work.

Make one offer easy to understand: Part-time remote sales development employment.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Part-time remote sales development employment. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 42 contacts replied from 100 reached: LinkedIn AI startup fundraising
URL: https://sbl.so/case-study/linkedin-linkedin-ai-startup-fundraising-cs121/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Seed investment in AI sales-agent software to Angels, venture investors and family offices. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 42 Contacts who replied (14 days)
- 100 Contacts reached
- 42.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Angels, venture investors and family offices.
2. Make one offer easy to understand: Seed investment in AI sales-agent software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
42 of 100 contacts replied within 14 days — a 42.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Seed investment in AI sales-agent software. Its intended audience was Angels, venture investors and family offices.

The useful message-design angle is A focused investment introduction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 June 2026 to 8 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

100 contact records were reached through qualifying delivered or read outreach.

42 contacts replied within 14 days, equivalent to 42.0% of the measured cohort.

The cohort contained 344 outbound messages and 61 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 42 responding contacts, 18 replied within 24 hours and 42 within seven days. The median time to a first reply was about 24.5 hours, measured only among contacts who replied.

80 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Angels, venture investors and family offices.

Make one offer easy to understand: Seed investment in AI sales-agent software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Seed investment in AI sales-agent software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 83 contacts replied from 444 reached: LinkedIn AI consulting for finance leaders
URL: https://sbl.so/case-study/linkedin-linkedin-ai-consulting-for-finance-leaders-cs122/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI consulting, training and implementation for finance workflows to CFOs and finance leaders at medium and large organizations. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 83 Contacts who replied (14 days)
- 444 Contacts reached
- 18.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: CFOs and finance leaders at medium and large organizations.
2. Make one offer easy to understand: AI consulting, training and implementation for finance workflows.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
83 of 444 contacts replied within 14 days — a 18.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI consulting, training and implementation for finance workflows. Its intended audience was CFOs and finance leaders at medium and large organizations.

The useful message-design angle is Connecting AI support to audit and transaction work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

444 contact records were reached through qualifying delivered or read outreach.

83 contacts replied within 14 days, equivalent to 18.7% of the measured cohort.

The cohort contained 912 outbound messages and 139 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 83 responding contacts, 52 replied within 24 hours and 80 within seven days. The median time to a first reply was about 7.0 hours, measured only among contacts who replied.

360 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: CFOs and finance leaders at medium and large organizations.

Make one offer easy to understand: AI consulting, training and implementation for finance workflows.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI consulting, training and implementation for finance workflows. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 69 contacts replied from 405 reached: LinkedIn AI search visibility outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ai-search-visibility-outreach-cs123/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI search visibility consulting to B2B founders and marketing leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 69 Contacts who replied (14 days)
- 405 Contacts reached
- 17.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: B2B founders and marketing leaders.
2. Make one offer easy to understand: AI search visibility consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
69 of 405 contacts replied within 14 days — a 17.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI search visibility consulting. Its intended audience was B2B founders and marketing leaders.

The useful message-design angle is A concrete recommendation question before a discovery call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 July 2026 to 22 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

405 contact records were reached through qualifying delivered or read outreach.

69 contacts replied within 14 days, equivalent to 17.0% of the measured cohort.

The cohort contained 1,357 outbound messages and 141 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 69 responding contacts, 34 replied within 24 hours and 68 within seven days. The median time to a first reply was about 24.0 hours, measured only among contacts who replied.

339 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: B2B founders and marketing leaders.

Make one offer easy to understand: AI search visibility consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI search visibility consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 16 contacts replied from 84 reached: LinkedIn custom AI automation outreach
URL: https://sbl.so/case-study/linkedin-linkedin-custom-ai-automation-outreach-cs124/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Custom AI marketing and repetitive-task automation to SME and enterprise decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 16 Contacts who replied (14 days)
- 84 Contacts reached
- 19.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: SME and enterprise decision-makers.
2. Make one offer easy to understand: Custom AI marketing and repetitive-task automation.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
16 of 84 contacts replied within 14 days — a 19.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Custom AI marketing and repetitive-task automation. Its intended audience was SME and enterprise decision-makers.

The useful message-design angle is Business tasks as the entry point. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 August 2026 to 28 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

84 contact records were reached through qualifying delivered or read outreach.

16 contacts replied within 14 days, equivalent to 19.0% of the measured cohort.

The cohort contained 148 outbound messages and 26 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 16 responding contacts, 7 replied within 24 hours and 15 within seven days. The median time to a first reply was about 24.1 hours, measured only among contacts who replied.

26 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: SME and enterprise decision-makers.

Make one offer easy to understand: Custom AI marketing and repetitive-task automation.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Custom AI marketing and repetitive-task automation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 11 contacts replied from 58 reached: LinkedIn personal finance beta launch
URL: https://sbl.so/case-study/linkedin-linkedin-personal-finance-beta-launch-cs125/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Closed beta for local-first personal finance software to Technical builders interested in personal finance tools. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 11 Contacts who replied (14 days)
- 58 Contacts reached
- 19.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Technical builders interested in personal finance tools.
2. Make one offer easy to understand: Closed beta for local-first personal finance software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
11 of 58 contacts replied within 14 days — a 19.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Closed beta for local-first personal finance software. Its intended audience was Technical builders interested in personal finance tools.

The useful message-design angle is A simple reply-based beta invitation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 29 June 2026 to 6 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

58 contact records were reached through qualifying delivered or read outreach.

11 contacts replied within 14 days, equivalent to 19.0% of the measured cohort.

The cohort contained 137 outbound messages and 13 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 11 responding contacts, 6 replied within 24 hours and 11 within seven days. The median time to a first reply was about 14.6 hours, measured only among contacts who replied.

37 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Technical builders interested in personal finance tools.

Make one offer easy to understand: Closed beta for local-first personal finance software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Closed beta for local-first personal finance software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 45 contacts replied from 253 reached: LinkedIn Web3 engineering opportunities
URL: https://sbl.so/case-study/linkedin-linkedin-web3-engineering-opportunities-cs126/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Senior full-stack engineering availability to Web3 founders, technology leaders and engineering teams. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 45 Contacts who replied (14 days)
- 253 Contacts reached
- 17.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Web3 founders, technology leaders and engineering teams.
2. Make one offer easy to understand: Senior full-stack engineering availability.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
45 of 253 contacts replied within 14 days — a 17.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Senior full-stack engineering availability. Its intended audience was Web3 founders, technology leaders and engineering teams.

The useful message-design angle is Project, contract and employment flexibility. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 July 2026 to 4 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

253 contact records were reached through qualifying delivered or read outreach.

45 contacts replied within 14 days, equivalent to 17.8% of the measured cohort.

The cohort contained 561 outbound messages and 145 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 45 responding contacts, 26 replied within 24 hours and 42 within seven days. The median time to a first reply was about 12.9 hours, measured only among contacts who replied.

135 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Web3 founders, technology leaders and engineering teams.

Make one offer easy to understand: Senior full-stack engineering availability.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Senior full-stack engineering availability. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 49 contacts replied from 147 reached: LinkedIn nonprofit fundraising software outreach
URL: https://sbl.so/case-study/linkedin-linkedin-nonprofit-fundraising-software-outreach-cs127/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering Mobile donor-engagement and event fundraising software to Nonprofit fundraising and event leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 49 Contacts who replied (14 days)
- 147 Contacts reached
- 33.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Nonprofit fundraising and event leaders.
2. Make one offer easy to understand: Mobile donor-engagement and event fundraising software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
49 of 147 contacts replied within 14 days — a 33.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Mobile donor-engagement and event fundraising software. Its intended audience was Nonprofit fundraising and event leaders.

The useful message-design angle is A relevant event need before a software introduction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

147 contact records were reached through qualifying delivered or read outreach.

49 contacts replied within 14 days, equivalent to 33.3% of the measured cohort.

The cohort contained 338 outbound messages and 74 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 49 responding contacts, 21 replied within 24 hours and 41 within seven days. The median time to a first reply was 2.1 days, measured only among contacts who replied.

115 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Nonprofit fundraising and event leaders.

Make one offer easy to understand: Mobile donor-engagement and event fundraising software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Mobile donor-engagement and event fundraising software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 36 contacts replied from 213 reached: LinkedIn care business consulting outreach
URL: https://sbl.so/case-study/linkedin-linkedin-care-business-consulting-outreach-cs128/
Industry: Healthcare & Wellness
Channel: LinkedIn

An anonymized LinkedIn campaign offering Care-business operations consulting to Care provider owners and operations leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 36 Contacts who replied (14 days)
- 213 Contacts reached
- 16.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Care provider owners and operations leaders.
2. Make one offer easy to understand: Care-business operations consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
36 of 213 contacts replied within 14 days — a 16.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Care-business operations consulting. Its intended audience was Care provider owners and operations leaders.

The useful message-design angle is Manual processes and business operations as discovery topics. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 July 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

213 contact records were reached through qualifying delivered or read outreach.

36 contacts replied within 14 days, equivalent to 16.9% of the measured cohort.

The cohort contained 567 outbound messages and 42 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 36 responding contacts, 15 replied within 24 hours and 28 within seven days. The median time to a first reply was about 40.6 hours, measured only among contacts who replied.

186 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Care provider owners and operations leaders.

Make one offer easy to understand: Care-business operations consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Care-business operations consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 68 contacts replied from 260 reached: LinkedIn enterprise AI consulting outreach
URL: https://sbl.so/case-study/linkedin-linkedin-enterprise-ai-consulting-outreach-cs129/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Enterprise AI consulting and custom AI tools to Business decision-makers and technology leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 68 Contacts who replied (14 days)
- 260 Contacts reached
- 26.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business decision-makers and technology leaders.
2. Make one offer easy to understand: Enterprise AI consulting and custom AI tools.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
68 of 260 contacts replied within 14 days — a 26.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Enterprise AI consulting and custom AI tools. Its intended audience was Business decision-makers and technology leaders.

The useful message-design angle is Introducing tailored AI support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 July 2026 to 9 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

260 contact records were reached through qualifying delivered or read outreach.

68 contacts replied within 14 days, equivalent to 26.2% of the measured cohort.

The cohort contained 809 outbound messages and 162 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 68 responding contacts, 29 replied within 24 hours and 67 within seven days. The median time to a first reply was about 25.2 hours, measured only among contacts who replied.

224 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Business decision-makers and technology leaders.

Make one offer easy to understand: Enterprise AI consulting and custom AI tools.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Enterprise AI consulting and custom AI tools. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 277 contacts replied from 708 reached: LinkedIn animal nutrition software outreach
URL: https://sbl.so/case-study/linkedin-linkedin-animal-nutrition-software-outreach-cs130/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Feed formulation software demonstration to Members of an animal nutrition professional group. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 277 Contacts who replied (14 days)
- 708 Contacts reached
- 39.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Members of an animal nutrition professional group.
2. Make one offer easy to understand: Feed formulation software demonstration.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
277 of 708 contacts replied within 14 days — a 39.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Feed formulation software demonstration. Its intended audience was Members of an animal nutrition professional group.

The useful message-design angle is A live demonstration offered within a relevant professional community. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 31 July 2026 to 23 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

708 contact records were reached through qualifying delivered or read outreach.

277 contacts replied within 14 days, equivalent to 39.1% of the measured cohort.

The cohort contained 1,797 outbound messages and 724 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 277 responding contacts, 230 replied within 24 hours and 270 within seven days. The median time to a first reply was about 1.9 hours, measured only among contacts who replied.

469 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Members of an animal nutrition professional group.

Make one offer easy to understand: Feed formulation software demonstration.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Feed formulation software demonstration. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 1,212 contacts replied from 3,266 reached: LinkedIn poultry feed software outreach
URL: https://sbl.so/case-study/linkedin-linkedin-poultry-feed-software-outreach-cs131/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Feed formulation and poultry operations software to Members of a poultry professional group. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 1,212 Contacts who replied (14 days)
- 3,266 Contacts reached
- 37.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Members of a poultry professional group.
2. Make one offer easy to understand: Feed formulation and poultry operations software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
1,212 of 3,266 contacts replied within 14 days — a 37.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Feed formulation and poultry operations software. Its intended audience was Members of a poultry professional group.

The useful message-design angle is Feed costs and flock operations as the introductory context. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 16 August 2026 to 24 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

3,266 contact records were reached through qualifying delivered or read outreach.

1,212 contacts replied within 14 days, equivalent to 37.1% of the measured cohort.

The cohort contained 7,142 outbound messages and 2,083 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 1,212 responding contacts, 650 replied within 24 hours and 887 within seven days. The median time to a first reply was about 17.6 hours, measured only among contacts who replied.

2,082 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Members of a poultry professional group.

Make one offer easy to understand: Feed formulation and poultry operations software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Feed formulation and poultry operations software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 18 contacts replied from 111 reached: LinkedIn construction chatbot outreach
URL: https://sbl.so/case-study/linkedin-linkedin-construction-chatbot-outreach-cs132/
Industry: Property & Real Estate
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI chatbots for construction enquiries and visit coordination to Construction business decision-makers in English-speaking markets. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 18 Contacts who replied (14 days)
- 111 Contacts reached
- 16.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Construction business decision-makers in English-speaking markets.
2. Make one offer easy to understand: AI chatbots for construction enquiries and visit coordination.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
18 of 111 contacts replied within 14 days — a 16.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI chatbots for construction enquiries and visit coordination. Its intended audience was Construction business decision-makers in English-speaking markets.

The useful message-design angle is Missed enquiries outside business hours. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 August 2026 to 4 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

111 contact records were reached through qualifying delivered or read outreach.

18 contacts replied within 14 days, equivalent to 16.2% of the measured cohort.

The cohort contained 459 outbound messages and 62 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 18 responding contacts, 11 replied within 24 hours and 16 within seven days. The median time to a first reply was about 2.2 hours, measured only among contacts who replied.

98 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Construction business decision-makers in English-speaking markets.

Make one offer easy to understand: AI chatbots for construction enquiries and visit coordination.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI chatbots for construction enquiries and visit coordination. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 33 contacts replied from 121 reached: LinkedIn fractional engineering outreach
URL: https://sbl.so/case-study/linkedin-linkedin-fractional-engineering-outreach-cs133/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Fractional engineering and product development support to Startup founders and technology leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 33 Contacts who replied (14 days)
- 121 Contacts reached
- 27.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Startup founders and technology leaders.
2. Make one offer easy to understand: Fractional engineering and product development support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
33 of 121 contacts replied within 14 days — a 27.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Fractional engineering and product development support. Its intended audience was Startup founders and technology leaders.

The useful message-design angle is Early product execution and technical capacity. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

121 contact records were reached through qualifying delivered or read outreach.

33 contacts replied within 14 days, equivalent to 27.3% of the measured cohort.

The cohort contained 316 outbound messages and 75 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 33 responding contacts, 24 replied within 24 hours and 32 within seven days. The median time to a first reply was about 2.7 hours, measured only among contacts who replied.

75 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Startup founders and technology leaders.

Make one offer easy to understand: Fractional engineering and product development support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Fractional engineering and product development support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 17 contacts replied from 99 reached: LinkedIn custom software development outreach
URL: https://sbl.so/case-study/linkedin-linkedin-custom-software-development-outreach-cs134/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Custom software development services to Founders, product leads and operations leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 17 Contacts who replied (14 days)
- 99 Contacts reached
- 17.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Founders, product leads and operations leaders.
2. Make one offer easy to understand: Custom software development services.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
17 of 99 contacts replied within 14 days — a 17.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Custom software development services. Its intended audience was Founders, product leads and operations leaders.

The useful message-design angle is Engineering backlog and core roadmap needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 August 2026 to 25 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

99 contact records were reached through qualifying delivered or read outreach.

17 contacts replied within 14 days, equivalent to 17.2% of the measured cohort.

The cohort contained 178 outbound messages and 46 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 17 responding contacts, 7 replied within 24 hours and 16 within seven days. The median time to a first reply was about 30.9 hours, measured only among contacts who replied.

27 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Founders, product leads and operations leaders.

Make one offer easy to understand: Custom software development services.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Custom software development services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 13 contacts replied from 85 reached: LinkedIn demand planning software outreach
URL: https://sbl.so/case-study/linkedin-linkedin-demand-planning-software-outreach-cs135/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Demand planning and forecasting software to Manufacturing and distribution demand planners and operations planning teams. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 13 Contacts who replied (14 days)
- 85 Contacts reached
- 15.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Manufacturing and distribution demand planners and operations planning teams.
2. Make one offer easy to understand: Demand planning and forecasting software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
13 of 85 contacts replied within 14 days — a 15.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Demand planning and forecasting software. Its intended audience was Manufacturing and distribution demand planners and operations planning teams.

The useful message-design angle is Forecast explainability and planning workflows. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 2 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

85 contact records were reached through qualifying delivered or read outreach.

13 contacts replied within 14 days, equivalent to 15.3% of the measured cohort.

The cohort contained 255 outbound messages and 15 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 13 responding contacts, 7 replied within 24 hours and 10 within seven days. The median time to a first reply was about 2.0 hours, measured only among contacts who replied.

78 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Manufacturing and distribution demand planners and operations planning teams.

Make one offer easy to understand: Demand planning and forecasting software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Demand planning and forecasting software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 24 contacts replied from 61 reached: LinkedIn AI tools for consultants
URL: https://sbl.so/case-study/linkedin-linkedin-ai-tools-for-consultants-cs136/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Subscription-based AI business support to Established coaches, consultants and fractional executives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 24 Contacts who replied (14 days)
- 61 Contacts reached
- 39.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Established coaches, consultants and fractional executives.
2. Make one offer easy to understand: Subscription-based AI business support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
24 of 61 contacts replied within 14 days — a 39.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Subscription-based AI business support. Its intended audience was Established coaches, consultants and fractional executives.

The useful message-design angle is Rapport and limited discovery before discussing fit. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

61 contact records were reached through qualifying delivered or read outreach.

24 contacts replied within 14 days, equivalent to 39.3% of the measured cohort.

The cohort contained 220 outbound messages and 86 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 24 responding contacts, 15 replied within 24 hours and 24 within seven days. The median time to a first reply was about 12.7 hours, measured only among contacts who replied.

15 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Established coaches, consultants and fractional executives.

Make one offer easy to understand: Subscription-based AI business support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Subscription-based AI business support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 34 contacts replied from 168 reached: LinkedIn employee benefits outreach
URL: https://sbl.so/case-study/linkedin-linkedin-employee-benefits-outreach-cs137/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Employee benefits and financial wellness strategy review to HR and benefits leaders at mid-sized employers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 34 Contacts who replied (14 days)
- 168 Contacts reached
- 20.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: HR and benefits leaders at mid-sized employers.
2. Make one offer easy to understand: Employee benefits and financial wellness strategy review.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
34 of 168 contacts replied within 14 days — a 20.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Employee benefits and financial wellness strategy review. Its intended audience was HR and benefits leaders at mid-sized employers.

The useful message-design angle is A review of the employer benefits approach. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 June 2026 to 30 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

168 contact records were reached through qualifying delivered or read outreach.

34 contacts replied within 14 days, equivalent to 20.2% of the measured cohort.

The cohort contained 339 outbound messages and 79 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 34 responding contacts, 20 replied within 24 hours and 34 within seven days. The median time to a first reply was about 9.3 hours, measured only among contacts who replied.

70 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: HR and benefits leaders at mid-sized employers.

Make one offer easy to understand: Employee benefits and financial wellness strategy review.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Employee benefits and financial wellness strategy review. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 231 contacts replied from 549 reached: LinkedIn financial services career outreach
URL: https://sbl.so/case-study/linkedin-linkedin-financial-services-career-outreach-cs138/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Remote financial-services career opportunity to Professionals based in Texas. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 231 Contacts who replied (14 days)
- 549 Contacts reached
- 42.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professionals based in Texas.
2. Make one offer easy to understand: Remote financial-services career opportunity.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
231 of 549 contacts replied within 14 days — a 42.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Remote financial-services career opportunity. Its intended audience was Professionals based in Texas.

The useful message-design angle is An opportunity overview before further discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

549 contact records were reached through qualifying delivered or read outreach.

231 contacts replied within 14 days, equivalent to 42.1% of the measured cohort.

The cohort contained 1,605 outbound messages and 377 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 231 responding contacts, 118 replied within 24 hours and 224 within seven days. The median time to a first reply was about 20.7 hours, measured only among contacts who replied.

406 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Professionals based in Texas.

Make one offer easy to understand: Remote financial-services career opportunity.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Remote financial-services career opportunity. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 17 contacts replied from 53 reached: LinkedIn financial planning outreach
URL: https://sbl.so/case-study/linkedin-linkedin-financial-planning-outreach-cs139/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Financial security, retirement and income-protection review to Salaried professionals in Chennai. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 17 Contacts who replied (14 days)
- 53 Contacts reached
- 32.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Salaried professionals in Chennai.
2. Make one offer easy to understand: Financial security, retirement and income-protection review.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
17 of 53 contacts replied within 14 days — a 32.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Financial security, retirement and income-protection review. Its intended audience was Salaried professionals in Chennai.

The useful message-design angle is Life-stage planning topics rather than product-first selling. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 June 2026 to 2 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

53 contact records were reached through qualifying delivered or read outreach.

17 contacts replied within 14 days, equivalent to 32.1% of the measured cohort.

The cohort contained 219 outbound messages and 65 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 17 responding contacts, 5 replied within 24 hours and 16 within seven days. The median time to a first reply was 2.2 days, measured only among contacts who replied.

48 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Salaried professionals in Chennai.

Make one offer easy to understand: Financial security, retirement and income-protection review.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Financial security, retirement and income-protection review. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 29 contacts replied from 100 reached: LinkedIn AI follow up automation
URL: https://sbl.so/case-study/linkedin-linkedin-ai-follow-up-automation-cs140/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI reply handling and qualification software to Teams already using LinkedIn outreach automation. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 29 Contacts who replied (14 days)
- 100 Contacts reached
- 29.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Teams already using LinkedIn outreach automation.
2. Make one offer easy to understand: AI reply handling and qualification software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
29 of 100 contacts replied within 14 days — a 29.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI reply handling and qualification software. Its intended audience was Teams already using LinkedIn outreach automation.

The useful message-design angle is The gap between receiving a reply and handling the conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 August 2026 to 6 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

100 contact records were reached through qualifying delivered or read outreach.

29 contacts replied within 14 days, equivalent to 29.0% of the measured cohort.

The cohort contained 290 outbound messages and 74 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 29 responding contacts, 22 replied within 24 hours and 29 within seven days. The median time to a first reply was about 17 minutes, measured only among contacts who replied.

49 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Teams already using LinkedIn outreach automation.

Make one offer easy to understand: AI reply handling and qualification software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI reply handling and qualification software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 38 contacts replied from 78 reached: LinkedIn B2B outbound partnership
URL: https://sbl.so/case-study/linkedin-linkedin-b2b-outbound-partnership-cs141/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-supported outbound and appointment-setting service to Small B2B founders and revenue leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 38 Contacts who replied (14 days)
- 78 Contacts reached
- 48.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small B2B founders and revenue leaders.
2. Make one offer easy to understand: AI-supported outbound and appointment-setting service.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
38 of 78 contacts replied within 14 days — a 48.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-supported outbound and appointment-setting service. Its intended audience was Small B2B founders and revenue leaders.

The useful message-design angle is Partner support for outbound activity. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 July 2026 to 20 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

78 contact records were reached through qualifying delivered or read outreach.

38 contacts replied within 14 days, equivalent to 48.7% of the measured cohort.

The cohort contained 176 outbound messages and 76 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 38 responding contacts, 21 replied within 24 hours and 36 within seven days. The median time to a first reply was about 5.9 hours, measured only among contacts who replied.

44 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Small B2B founders and revenue leaders.

Make one offer easy to understand: AI-supported outbound and appointment-setting service.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-supported outbound and appointment-setting service. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 19 contacts replied from 60 reached: LinkedIn property investment outreach
URL: https://sbl.so/case-study/linkedin-linkedin-property-investment-outreach-cs143/
Industry: Property & Real Estate
Channel: LinkedIn

An anonymized LinkedIn campaign offering Property investment information for faith-aligned investors to Investors interested in Shariah-structured property opportunities. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 19 Contacts who replied (14 days)
- 60 Contacts reached
- 31.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Investors interested in Shariah-structured property opportunities.
2. Make one offer easy to understand: Property investment information for faith-aligned investors.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
19 of 60 contacts replied within 14 days — a 31.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Property investment information for faith-aligned investors. Its intended audience was Investors interested in Shariah-structured property opportunities.

The useful message-design angle is An invitation to review the investment structure. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 July 2026 to 4 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

60 contact records were reached through qualifying delivered or read outreach.

19 contacts replied within 14 days, equivalent to 31.7% of the measured cohort.

The cohort contained 178 outbound messages and 31 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 19 responding contacts, 5 replied within 24 hours and 19 within seven days. The median time to a first reply was about 41.6 hours, measured only among contacts who replied.

54 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Investors interested in Shariah-structured property opportunities.

Make one offer easy to understand: Property investment information for faith-aligned investors.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Property investment information for faith-aligned investors. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 82 contacts replied from 432 reached: LinkedIn fintech data engineering networking
URL: https://sbl.so/case-study/linkedin-linkedin-fintech-data-engineering-networking-cs145/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Career transition networking to Data professionals working in financial technology. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 82 Contacts who replied (14 days)
- 432 Contacts reached
- 19.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Data professionals working in financial technology.
2. Make one offer easy to understand: Career transition networking.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
82 of 432 contacts replied within 14 days — a 19.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Career transition networking. Its intended audience was Data professionals working in financial technology.

The useful message-design angle is Learning from practitioners before seeking an opportunity. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 7 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

432 contact records were reached through qualifying delivered or read outreach.

82 contacts replied within 14 days, equivalent to 19.0% of the measured cohort.

The cohort contained 806 outbound messages and 107 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 82 responding contacts, 36 replied within 24 hours and 71 within seven days. The median time to a first reply was about 29.0 hours, measured only among contacts who replied.

140 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Data professionals working in financial technology.

Make one offer easy to understand: Career transition networking.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Career transition networking. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 25 contacts replied from 124 reached: LinkedIn AI developer outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ai-developer-outreach-cs148/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI development capacity and professional connection to Founders and technology leaders in Europe and the United States. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 25 Contacts who replied (14 days)
- 124 Contacts reached
- 20.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Founders and technology leaders in Europe and the United States.
2. Make one offer easy to understand: AI development capacity and professional connection.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
25 of 124 contacts replied within 14 days — a 20.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI development capacity and professional connection. Its intended audience was Founders and technology leaders in Europe and the United States.

The useful message-design angle is A capability-based introduction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

124 contact records were reached through qualifying delivered or read outreach.

25 contacts replied within 14 days, equivalent to 20.2% of the measured cohort.

The cohort contained 237 outbound messages and 43 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 25 responding contacts, 10 replied within 24 hours and 20 within seven days. The median time to a first reply was about 31.6 hours, measured only among contacts who replied.

35 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Founders and technology leaders in Europe and the United States.

Make one offer easy to understand: AI development capacity and professional connection.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI development capacity and professional connection. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 30 contacts replied from 193 reached: LinkedIn backend engineer AI career transition
URL: https://sbl.so/case-study/linkedin-linkedin-backend-engineer-ai-career-transition-cs149/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Career networking for a transition into AI to Professionals in financial technology, healthcare and news technology. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 30 Contacts who replied (14 days)
- 193 Contacts reached
- 15.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professionals in financial technology, healthcare and news technology.
2. Make one offer easy to understand: Career networking for a transition into AI.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
30 of 193 contacts replied within 14 days — a 15.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Career networking for a transition into AI. Its intended audience was Professionals in financial technology, healthcare and news technology.

The useful message-design angle is A specific technical background and learning direction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 31 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

193 contact records were reached through qualifying delivered or read outreach.

30 contacts replied within 14 days, equivalent to 15.5% of the measured cohort.

The cohort contained 381 outbound messages and 45 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 30 responding contacts, 3 replied within 24 hours and 28 within seven days. The median time to a first reply was 4.9 days, measured only among contacts who replied.

61 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Professionals in financial technology, healthcare and news technology.

Make one offer easy to understand: Career networking for a transition into AI.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Career networking for a transition into AI. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 70 contacts replied from 179 reached: LinkedIn AI graduate project outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ai-graduate-project-outreach-cs151/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI project collaboration and early-career opportunities to AI startup and product company teams. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 70 Contacts who replied (14 days)
- 179 Contacts reached
- 39.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: AI startup and product company teams.
2. Make one offer easy to understand: AI project collaboration and early-career opportunities.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
70 of 179 contacts replied within 14 days — a 39.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI project collaboration and early-career opportunities. Its intended audience was AI startup and product company teams.

The useful message-design angle is A project-based introduction to potential collaborators. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 7 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

179 contact records were reached through qualifying delivered or read outreach.

70 contacts replied within 14 days, equivalent to 39.1% of the measured cohort.

The cohort contained 643 outbound messages and 110 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 70 responding contacts, 27 replied within 24 hours and 68 within seven days. The median time to a first reply was about 26.0 hours, measured only among contacts who replied.

152 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: AI startup and product company teams.

Make one offer easy to understand: AI project collaboration and early-career opportunities.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI project collaboration and early-career opportunities. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 27 contacts replied from 171 reached: LinkedIn enterprise AI governance outreach
URL: https://sbl.so/case-study/linkedin-linkedin-enterprise-ai-governance-outreach-cs152/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Enterprise AI governance and delivery leadership to Enterprise executives overseeing AI adoption. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 27 Contacts who replied (14 days)
- 171 Contacts reached
- 15.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Enterprise executives overseeing AI adoption.
2. Make one offer easy to understand: Enterprise AI governance and delivery leadership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
27 of 171 contacts replied within 14 days — a 15.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Enterprise AI governance and delivery leadership. Its intended audience was Enterprise executives overseeing AI adoption.

The useful message-design angle is Governance and delivery considerations for production AI. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 September 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

171 contact records were reached through qualifying delivered or read outreach.

27 contacts replied within 14 days, equivalent to 15.8% of the measured cohort.

The cohort contained 277 outbound messages and 63 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 27 responding contacts, 7 replied within 24 hours and 24 within seven days. The median time to a first reply was 2.4 days, measured only among contacts who replied.

51 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Enterprise executives overseeing AI adoption.

Make one offer easy to understand: Enterprise AI governance and delivery leadership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Enterprise AI governance and delivery leadership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 11 contacts replied from 69 reached: LinkedIn professional relationship building
URL: https://sbl.so/case-study/linkedin-linkedin-professional-relationship-building-cs153/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering Professional relationship building to Professionals across technology, healthcare and finance. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 11 Contacts who replied (14 days)
- 69 Contacts reached
- 15.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professionals across technology, healthcare and finance.
2. Make one offer easy to understand: Professional relationship building.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
11 of 69 contacts replied within 14 days — a 15.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Professional relationship building. Its intended audience was Professionals across technology, healthcare and finance.

The useful message-design angle is Curiosity about another person's route into their work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 September 2026 to 28 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

69 contact records were reached through qualifying delivered or read outreach.

11 contacts replied within 14 days, equivalent to 15.9% of the measured cohort.

The cohort contained 91 outbound messages and 11 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 11 responding contacts, 5 replied within 24 hours and 11 within seven days. The median time to a first reply was about 37.1 hours, measured only among contacts who replied.

13 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Professionals across technology, healthcare and finance.

Make one offer easy to understand: Professional relationship building.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Professional relationship building. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 68 contacts replied from 295 reached: LinkedIn M&A advisor networking
URL: https://sbl.so/case-study/linkedin-linkedin-m-a-advisor-networking-cs154/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Professional exchange about advisory services and pricing to Registered senior mergers-and-acquisitions representatives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 68 Contacts who replied (14 days)
- 295 Contacts reached
- 23.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Registered senior mergers-and-acquisitions representatives.
2. Make one offer easy to understand: Professional exchange about advisory services and pricing.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
68 of 295 contacts replied within 14 days — a 23.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Professional exchange about advisory services and pricing. Its intended audience was Registered senior mergers-and-acquisitions representatives.

The useful message-design angle is Industry peer dialogue before a short conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 16 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

295 contact records were reached through qualifying delivered or read outreach.

68 contacts replied within 14 days, equivalent to 23.1% of the measured cohort.

The cohort contained 771 outbound messages and 92 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 68 responding contacts, 29 replied within 24 hours and 57 within seven days. The median time to a first reply was 2.9 days, measured only among contacts who replied.

231 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Registered senior mergers-and-acquisitions representatives.

Make one offer easy to understand: Professional exchange about advisory services and pricing.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Professional exchange about advisory services and pricing. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 129 reached: LinkedIn private credit broker outreach
URL: https://sbl.so/case-study/linkedin-linkedin-private-credit-broker-outreach-cs155/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Private credit lending options to Mortgage brokers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 129 Contacts reached
- 17.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Mortgage brokers.
2. Make one offer easy to understand: Private credit lending options.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 129 contacts replied within 14 days — a 17.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Private credit lending options. Its intended audience was Mortgage brokers.

The useful message-design angle is Current deal challenges before an introduction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 May 2026 to 15 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

129 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 17.8% of the measured cohort.

The cohort contained 237 outbound messages and 34 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 7 replied within 24 hours and 22 within seven days. The median time to a first reply was about 36.1 hours, measured only among contacts who replied.

45 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Mortgage brokers.

Make one offer easy to understand: Private credit lending options.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Private credit lending options. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 73 contacts replied from 254 reached: LinkedIn freight services outreach
URL: https://sbl.so/case-study/linkedin-linkedin-freight-services-outreach-cs156/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Freight and logistics setup review to Manufacturing and trading leaders responsible for logistics spend. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 73 Contacts who replied (14 days)
- 254 Contacts reached
- 28.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Manufacturing and trading leaders responsible for logistics spend.
2. Make one offer easy to understand: Freight and logistics setup review.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
73 of 254 contacts replied within 14 days — a 28.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Freight and logistics setup review. Its intended audience was Manufacturing and trading leaders responsible for logistics spend.

The useful message-design angle is Operational friction as the discovery prompt. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 June 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

254 contact records were reached through qualifying delivered or read outreach.

73 contacts replied within 14 days, equivalent to 28.7% of the measured cohort.

The cohort contained 619 outbound messages and 147 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 73 responding contacts, 45 replied within 24 hours and 64 within seven days. The median time to a first reply was about 9.8 hours, measured only among contacts who replied.

176 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Manufacturing and trading leaders responsible for logistics spend.

Make one offer easy to understand: Freight and logistics setup review.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Freight and logistics setup review. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 25 contacts replied from 82 reached: LinkedIn conference invitation for freelancers
URL: https://sbl.so/case-study/linkedin-linkedin-conference-invitation-for-freelancers-cs157/
Industry: Hospitality & Events
Channel: LinkedIn

An anonymized LinkedIn campaign offering Complimentary conference invitation to Freelancers providing digital services. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 25 Contacts who replied (14 days)
- 82 Contacts reached
- 30.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Freelancers providing digital services.
2. Make one offer easy to understand: Complimentary conference invitation.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
25 of 82 contacts replied within 14 days — a 30.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Complimentary conference invitation. Its intended audience was Freelancers providing digital services.

The useful message-design angle is A qualification question before sharing the invitation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 August 2026 to 6 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

82 contact records were reached through qualifying delivered or read outreach.

25 contacts replied within 14 days, equivalent to 30.5% of the measured cohort.

The cohort contained 114 outbound messages and 52 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 25 responding contacts, 18 replied within 24 hours and 24 within seven days. The median time to a first reply was about 4.7 hours, measured only among contacts who replied.

7 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Freelancers providing digital services.

Make one offer easy to understand: Complimentary conference invitation.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Complimentary conference invitation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 728 contacts replied from 2,557 reached: LinkedIn consulting practice mentoring outreach
URL: https://sbl.so/case-study/linkedin-linkedin-consulting-practice-mentoring-outreach-cs158/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Mentoring for an independent consulting practice to Senior professionals starting or growing consulting work. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 728 Contacts who replied (14 days)
- 2,557 Contacts reached
- 28.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Senior professionals starting or growing consulting work.
2. Make one offer easy to understand: Mentoring for an independent consulting practice.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
728 of 2,557 contacts replied within 14 days — a 28.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Mentoring for an independent consulting practice. Its intended audience was Senior professionals starting or growing consulting work.

The useful message-design angle is Qualification before a messaging-based discovery conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

2,557 contact records were reached through qualifying delivered or read outreach.

728 contacts replied within 14 days, equivalent to 28.5% of the measured cohort.

The cohort contained 6,786 outbound messages and 1,383 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 728 responding contacts, 200 replied within 24 hours and 650 within seven days. The median time to a first reply was about 45.4 hours, measured only among contacts who replied.

1,238 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Senior professionals starting or growing consulting work.

Make one offer easy to understand: Mentoring for an independent consulting practice.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Mentoring for an independent consulting practice. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 286 contacts replied from 926 reached: LinkedIn legal practice development outreach
URL: https://sbl.so/case-study/linkedin-linkedin-legal-practice-development-outreach-cs159/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Mentoring and business development for a legal specialism to Lawyers interested in agro-food law. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 286 Contacts who replied (14 days)
- 926 Contacts reached
- 30.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Lawyers interested in agro-food law.
2. Make one offer easy to understand: Mentoring and business development for a legal specialism.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
286 of 926 contacts replied within 14 days — a 30.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Mentoring and business development for a legal specialism. Its intended audience was Lawyers interested in agro-food law.

The useful message-design angle is A specific practice niche rather than general legal marketing. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

926 contact records were reached through qualifying delivered or read outreach.

286 contacts replied within 14 days, equivalent to 30.9% of the measured cohort.

The cohort contained 2,982 outbound messages and 577 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 286 responding contacts, 112 replied within 24 hours and 254 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

787 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Lawyers interested in agro-food law.

Make one offer easy to understand: Mentoring and business development for a legal specialism.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Mentoring and business development for a legal specialism. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 66 contacts replied from 202 reached: LinkedIn inventory replenishment software outreach
URL: https://sbl.so/case-study/linkedin-linkedin-inventory-replenishment-software-outreach-cs160/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-supported inventory replenishment software to US mid-market manufacturing and distribution executives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 66 Contacts who replied (14 days)
- 202 Contacts reached
- 32.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US mid-market manufacturing and distribution executives.
2. Make one offer easy to understand: AI-supported inventory replenishment software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
66 of 202 contacts replied within 14 days — a 32.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-supported inventory replenishment software. Its intended audience was US mid-market manufacturing and distribution executives.

The useful message-design angle is Order-driven replenishment explained through an introductory video. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

202 contact records were reached through qualifying delivered or read outreach.

66 contacts replied within 14 days, equivalent to 32.7% of the measured cohort.

The cohort contained 529 outbound messages and 110 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 66 responding contacts, 23 replied within 24 hours and 58 within seven days. The median time to a first reply was 3.0 days, measured only among contacts who replied.

158 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: US mid-market manufacturing and distribution executives.

Make one offer easy to understand: AI-supported inventory replenishment software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-supported inventory replenishment software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 42 contacts replied from 84 reached: LinkedIn career training outreach
URL: https://sbl.so/case-study/linkedin-linkedin-career-training-outreach-cs161/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Skills courses and interview-oriented practical training to Early-career jobseekers in India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 42 Contacts who replied (14 days)
- 84 Contacts reached
- 50.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Early-career jobseekers in India.
2. Make one offer easy to understand: Skills courses and interview-oriented practical training.
3. Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
42 of 84 contacts replied within 14 days — a 50.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Skills courses and interview-oriented practical training. Its intended audience was Early-career jobseekers in India.

The useful message-design angle is Connecting course relevance to the learner's next step. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 June 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

84 contact records were reached through qualifying delivered or read outreach.

42 contacts replied within 14 days, equivalent to 50.0% of the measured cohort.

The cohort contained 235 outbound messages and 85 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 42 responding contacts, 28 replied within 24 hours and 41 within seven days. The median time to a first reply was about 5.0 hours, measured only among contacts who replied.

56 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Early-career jobseekers in India.

Make one offer easy to understand: Skills courses and interview-oriented practical training.

Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Skills courses and interview-oriented practical training. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 78 reached: LinkedIn sheet metal machinery outreach
URL: https://sbl.so/case-study/linkedin-linkedin-sheet-metal-machinery-outreach-cs162/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Fabrication machinery and technical support to Sheet metal fabrication and ductwork businesses. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 78 Contacts reached
- 29.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Sheet metal fabrication and ductwork businesses.
2. Make one offer easy to understand: Fabrication machinery and technical support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 78 contacts replied within 14 days — a 29.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Fabrication machinery and technical support. Its intended audience was Sheet metal fabrication and ductwork businesses.

The useful message-design angle is Existing equipment challenges before discussing support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 July 2026 to 24 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

78 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 29.5% of the measured cohort.

The cohort contained 210 outbound messages and 49 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 12 replied within 24 hours and 20 within seven days. The median time to a first reply was about 20.5 hours, measured only among contacts who replied.

45 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Sheet metal fabrication and ductwork businesses.

Make one offer easy to understand: Fabrication machinery and technical support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Fabrication machinery and technical support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 45 contacts replied from 151 reached: LinkedIn agency owner mentoring outreach
URL: https://sbl.so/case-study/linkedin-linkedin-agency-owner-mentoring-outreach-cs163/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Agency owner mentoring and operational strategy to Agency owners facing business bottlenecks. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 45 Contacts who replied (14 days)
- 151 Contacts reached
- 29.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Agency owners facing business bottlenecks.
2. Make one offer easy to understand: Agency owner mentoring and operational strategy.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
45 of 151 contacts replied within 14 days — a 29.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Agency owner mentoring and operational strategy. Its intended audience was Agency owners facing business bottlenecks.

The useful message-design angle is A personal voice-note opener and diagnostic conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 June 2026 to 30 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

151 contact records were reached through qualifying delivered or read outreach.

45 contacts replied within 14 days, equivalent to 29.8% of the measured cohort.

The cohort contained 554 outbound messages and 113 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 45 responding contacts, 17 replied within 24 hours and 30 within seven days. The median time to a first reply was about 32.5 hours, measured only among contacts who replied.

130 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Agency owners facing business bottlenecks.

Make one offer easy to understand: Agency owner mentoring and operational strategy.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Agency owner mentoring and operational strategy. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 44 contacts replied from 198 reached: LinkedIn AI training for professional speakers
URL: https://sbl.so/case-study/linkedin-linkedin-ai-training-for-professional-speakers-cs164/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Practical AI learning and workflow support to Professional speakers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 44 Contacts who replied (14 days)
- 198 Contacts reached
- 22.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professional speakers.
2. Make one offer easy to understand: Practical AI learning and workflow support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
44 of 198 contacts replied within 14 days — a 22.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Practical AI learning and workflow support. Its intended audience was Professional speakers.

The useful message-design angle is A peer comparison before discussing AI setups. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 May 2026 to 18 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

198 contact records were reached through qualifying delivered or read outreach.

44 contacts replied within 14 days, equivalent to 22.2% of the measured cohort.

The cohort contained 496 outbound messages and 71 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 44 responding contacts, 24 replied within 24 hours and 42 within seven days. The median time to a first reply was about 19.9 hours, measured only among contacts who replied.

68 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Professional speakers.

Make one offer easy to understand: Practical AI learning and workflow support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Practical AI learning and workflow support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 342 contacts replied from 1,196 reached: LinkedIn AI assistant course outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ai-assistant-course-outreach-cs165/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Training in using AI assistants for work to Spanish-speaking small-business owners and professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 342 Contacts who replied (14 days)
- 1,196 Contacts reached
- 28.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Spanish-speaking small-business owners and professionals.
2. Make one offer easy to understand: Training in using AI assistants for work.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
342 of 1,196 contacts replied within 14 days — a 28.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Training in using AI assistants for work. Its intended audience was Spanish-speaking small-business owners and professionals.

The useful message-design angle is Current AI usage as a qualification question. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 23 April 2026 to 30 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,196 contact records were reached through qualifying delivered or read outreach.

342 contacts replied within 14 days, equivalent to 28.6% of the measured cohort.

The cohort contained 2,667 outbound messages and 729 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 342 responding contacts, 163 replied within 24 hours and 301 within seven days. The median time to a first reply was about 30.0 hours, measured only among contacts who replied.

449 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Spanish-speaking small-business owners and professionals.

Make one offer easy to understand: Training in using AI assistants for work.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Training in using AI assistants for work. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 107 contacts replied from 318 reached: LinkedIn chatbot agency partnership
URL: https://sbl.so/case-study/linkedin-linkedin-chatbot-agency-partnership-cs166/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI chatbot implementation partnership to Small web agencies in the Netherlands. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 107 Contacts who replied (14 days)
- 318 Contacts reached
- 33.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small web agencies in the Netherlands.
2. Make one offer easy to understand: AI chatbot implementation partnership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
107 of 318 contacts replied within 14 days — a 33.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI chatbot implementation partnership. Its intended audience was Small web agencies in the Netherlands.

The useful message-design angle is A joint demonstration for agencies serving website clients. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 28 May 2026 to 2 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

318 contact records were reached through qualifying delivered or read outreach.

107 contacts replied within 14 days, equivalent to 33.6% of the measured cohort.

The cohort contained 456 outbound messages and 138 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 107 responding contacts, 76 replied within 24 hours and 101 within seven days. The median time to a first reply was about 3.8 hours, measured only among contacts who replied.

65 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Small web agencies in the Netherlands.

Make one offer easy to understand: AI chatbot implementation partnership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI chatbot implementation partnership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 60 contacts replied from 127 reached: LinkedIn business diagnostic outreach
URL: https://sbl.so/case-study/linkedin-linkedin-business-diagnostic-outreach-cs167/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Business diagnostic pilot and advisory support to Strategy leaders, founders and independent professionals across Africa and Asia-Pacific. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 60 Contacts who replied (14 days)
- 127 Contacts reached
- 47.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Strategy leaders, founders and independent professionals across Africa and Asia-Pacific.
2. Make one offer easy to understand: Business diagnostic pilot and advisory support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
60 of 127 contacts replied within 14 days — a 47.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Business diagnostic pilot and advisory support. Its intended audience was Strategy leaders, founders and independent professionals across Africa and Asia-Pacific.

The useful message-design angle is A pilot built around a concrete business gap. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 2 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

127 contact records were reached through qualifying delivered or read outreach.

60 contacts replied within 14 days, equivalent to 47.2% of the measured cohort.

The cohort contained 365 outbound messages and 128 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 60 responding contacts, 34 replied within 24 hours and 48 within seven days. The median time to a first reply was about 5.3 hours, measured only among contacts who replied.

25 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Strategy leaders, founders and independent professionals across Africa and Asia-Pacific.

Make one offer easy to understand: Business diagnostic pilot and advisory support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Business diagnostic pilot and advisory support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 65 contacts replied from 433 reached: LinkedIn founder coaching outreach
URL: https://sbl.so/case-study/linkedin-linkedin-founder-coaching-outreach-cs168/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Founder and solopreneur coaching to Early-stage founders and solo business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 65 Contacts who replied (14 days)
- 433 Contacts reached
- 15.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Early-stage founders and solo business owners.
2. Make one offer easy to understand: Founder and solopreneur coaching.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
65 of 433 contacts replied within 14 days — a 15.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Founder and solopreneur coaching. Its intended audience was Early-stage founders and solo business owners.

The useful message-design angle is A short exploratory conversation about the current obstacle. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

433 contact records were reached through qualifying delivered or read outreach.

65 contacts replied within 14 days, equivalent to 15.0% of the measured cohort.

The cohort contained 804 outbound messages and 231 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 65 responding contacts, 30 replied within 24 hours and 59 within seven days. The median time to a first reply was about 25.2 hours, measured only among contacts who replied.

112 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Early-stage founders and solo business owners.

Make one offer easy to understand: Founder and solopreneur coaching.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Founder and solopreneur coaching. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 135 contacts replied from 668 reached: LinkedIn organizational learning outreach
URL: https://sbl.so/case-study/linkedin-linkedin-organizational-learning-outreach-cs169/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Organizational learning design and facilitation to Organizational leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 135 Contacts who replied (14 days)
- 668 Contacts reached
- 20.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Organizational leaders.
2. Make one offer easy to understand: Organizational learning design and facilitation.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
135 of 668 contacts replied within 14 days — a 20.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Organizational learning design and facilitation. Its intended audience was Organizational leaders.

The useful message-design angle is Knowledge transfer and collaborative learning as the offer. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 May 2026 to 24 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

668 contact records were reached through qualifying delivered or read outreach.

135 contacts replied within 14 days, equivalent to 20.2% of the measured cohort.

The cohort contained 1,842 outbound messages and 303 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 135 responding contacts, 60 replied within 24 hours and 130 within seven days. The median time to a first reply was about 28.2 hours, measured only among contacts who replied.

605 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Organizational leaders.

Make one offer easy to understand: Organizational learning design and facilitation.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Organizational learning design and facilitation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 22 contacts replied from 114 reached: LinkedIn franchise advisory outreach
URL: https://sbl.so/case-study/linkedin-linkedin-franchise-advisory-outreach-cs170/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Franchise matching and ownership advisory to Corporate executives considering a franchise. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 22 Contacts who replied (14 days)
- 114 Contacts reached
- 19.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Corporate executives considering a franchise.
2. Make one offer easy to understand: Franchise matching and ownership advisory.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
22 of 114 contacts replied within 14 days — a 19.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Franchise matching and ownership advisory. Its intended audience was Corporate executives considering a franchise.

The useful message-design angle is Matching an executive's interests to ownership options. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 May 2026 to 2 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

114 contact records were reached through qualifying delivered or read outreach.

22 contacts replied within 14 days, equivalent to 19.3% of the measured cohort.

The cohort contained 167 outbound messages and 43 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 22 responding contacts, 15 replied within 24 hours and 21 within seven days. The median time to a first reply was about 12.1 hours, measured only among contacts who replied.

17 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Corporate executives considering a franchise.

Make one offer easy to understand: Franchise matching and ownership advisory.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Franchise matching and ownership advisory. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 73 contacts replied from 206 reached: LinkedIn video creator mentorship outreach
URL: https://sbl.so/case-study/linkedin-linkedin-video-creator-mentorship-outreach-cs171/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Mentorship for faceless video channels to People interested in building a video content channel. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 73 Contacts who replied (14 days)
- 206 Contacts reached
- 35.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: People interested in building a video content channel.
2. Make one offer easy to understand: Mentorship for faceless video channels.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
73 of 206 contacts replied within 14 days — a 35.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Mentorship for faceless video channels. Its intended audience was People interested in building a video content channel.

The useful message-design angle is A conversation about the creator's intended channel. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 June 2026 to 28 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

206 contact records were reached through qualifying delivered or read outreach.

73 contacts replied within 14 days, equivalent to 35.4% of the measured cohort.

The cohort contained 747 outbound messages and 179 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 73 responding contacts, 45 replied within 24 hours and 69 within seven days. The median time to a first reply was about 3.7 hours, measured only among contacts who replied.

153 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: People interested in building a video content channel.

Make one offer easy to understand: Mentorship for faceless video channels.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Mentorship for faceless video channels. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 27 contacts replied from 135 reached: LinkedIn career transition coaching for saleswomen
URL: https://sbl.so/case-study/linkedin-linkedin-career-transition-coaching-for-saleswomen-cs172/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Transition support and personalized guidance to Women working in sales and considering leaving employment. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 27 Contacts who replied (14 days)
- 135 Contacts reached
- 20.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Women working in sales and considering leaving employment.
2. Make one offer easy to understand: Transition support and personalized guidance.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
27 of 135 contacts replied within 14 days — a 20.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Transition support and personalized guidance. Its intended audience was Women working in sales and considering leaving employment.

The useful message-design angle is A messaging community as a low-friction introduction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 June 2026 to 13 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

135 contact records were reached through qualifying delivered or read outreach.

27 contacts replied within 14 days, equivalent to 20.0% of the measured cohort.

The cohort contained 326 outbound messages and 29 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 27 responding contacts, 11 replied within 24 hours and 26 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

111 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Women working in sales and considering leaving employment.

Make one offer easy to understand: Transition support and personalized guidance.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Transition support and personalized guidance. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 20 contacts replied from 111 reached: LinkedIn fractional COO manufacturing outreach
URL: https://sbl.so/case-study/linkedin-linkedin-fractional-coo-manufacturing-outreach-cs173/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Fractional chief operating officer services to Australian industrial and manufacturing business leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 20 Contacts who replied (14 days)
- 111 Contacts reached
- 18.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Australian industrial and manufacturing business leaders.
2. Make one offer easy to understand: Fractional chief operating officer services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
20 of 111 contacts replied within 14 days — a 18.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Fractional chief operating officer services. Its intended audience was Australian industrial and manufacturing business leaders.

The useful message-design angle is Operational leadership capacity as the entry point. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

111 contact records were reached through qualifying delivered or read outreach.

20 contacts replied within 14 days, equivalent to 18.0% of the measured cohort.

The cohort contained 118 outbound messages and 24 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 20 responding contacts, 18 replied within 24 hours and 19 within seven days. The median time to a first reply was about 46 minutes, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Australian industrial and manufacturing business leaders.

Make one offer easy to understand: Fractional chief operating officer services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Fractional chief operating officer services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 46 contacts replied from 143 reached: LinkedIn franchise ownership education
URL: https://sbl.so/case-study/linkedin-linkedin-franchise-ownership-education-cs174/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Franchise ownership education and advisory introduction to Corporate professionals exploring business ownership. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 46 Contacts who replied (14 days)
- 143 Contacts reached
- 32.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Corporate professionals exploring business ownership.
2. Make one offer easy to understand: Franchise ownership education and advisory introduction.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
46 of 143 contacts replied within 14 days — a 32.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Franchise ownership education and advisory introduction. Its intended audience was Corporate professionals exploring business ownership.

The useful message-design angle is A resource-led first step before evaluating options. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

143 contact records were reached through qualifying delivered or read outreach.

46 contacts replied within 14 days, equivalent to 32.2% of the measured cohort.

The cohort contained 415 outbound messages and 63 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 46 responding contacts, 27 replied within 24 hours and 43 within seven days. The median time to a first reply was about 11.9 hours, measured only among contacts who replied.

115 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Corporate professionals exploring business ownership.

Make one offer easy to understand: Franchise ownership education and advisory introduction.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Franchise ownership education and advisory introduction. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 90 contacts replied from 364 reached: LinkedIn ecommerce influencer resource outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ecommerce-influencer-resource-outreach-cs175/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering Marketplace influencer discovery resource to Marketing professionals interested in marketplace promotion. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 90 Contacts who replied (14 days)
- 364 Contacts reached
- 24.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Marketing professionals interested in marketplace promotion.
2. Make one offer easy to understand: Marketplace influencer discovery resource.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
90 of 364 contacts replied within 14 days — a 24.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Marketplace influencer discovery resource. Its intended audience was Marketing professionals interested in marketplace promotion.

The useful message-design angle is A useful research asset as the opening offer. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 13 November 2025 to 21 December 2025. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

364 contact records were reached through qualifying delivered or read outreach.

90 contacts replied within 14 days, equivalent to 24.7% of the measured cohort.

The cohort contained 364 outbound messages and 100 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 90 responding contacts, 65 replied within 24 hours and 86 within seven days. The median time to a first reply was about 8.4 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Marketing professionals interested in marketplace promotion.

Make one offer easy to understand: Marketplace influencer discovery resource.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Marketplace influencer discovery resource. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 28 contacts replied from 143 reached: LinkedIn giveaway follow up for ecommerce
URL: https://sbl.so/case-study/linkedin-linkedin-giveaway-follow-up-for-ecommerce-cs176/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI prompt resource and conversion optimization services to People engaging with a conversion optimization resource giveaway. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 28 Contacts who replied (14 days)
- 143 Contacts reached
- 19.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: People engaging with a conversion optimization resource giveaway.
2. Make one offer easy to understand: AI prompt resource and conversion optimization services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
28 of 143 contacts replied within 14 days — a 19.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI prompt resource and conversion optimization services. Its intended audience was People engaging with a conversion optimization resource giveaway.

The useful message-design angle is Delivering the requested resource before nurturing service interest. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 December 2025 to 15 December 2025. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

143 contact records were reached through qualifying delivered or read outreach.

28 contacts replied within 14 days, equivalent to 19.6% of the measured cohort.

The cohort contained 143 outbound messages and 30 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 28 responding contacts, 21 replied within 24 hours and 26 within seven days. The median time to a first reply was about 13.7 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: People engaging with a conversion optimization resource giveaway.

Make one offer easy to understand: AI prompt resource and conversion optimization services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI prompt resource and conversion optimization services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 19 contacts replied from 54 reached: LinkedIn AI advertising beta outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ai-advertising-beta-outreach-cs177/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-supported advertising testing with concierge onboarding to Course and information-product founders using paid traffic. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 19 Contacts who replied (14 days)
- 54 Contacts reached
- 35.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Course and information-product founders using paid traffic.
2. Make one offer easy to understand: AI-supported advertising testing with concierge onboarding.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
19 of 54 contacts replied within 14 days — a 35.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-supported advertising testing with concierge onboarding. Its intended audience was Course and information-product founders using paid traffic.

The useful message-design angle is Hands-on onboarding for an early product trial. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 January 2026 to 3 February 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

54 contact records were reached through qualifying delivered or read outreach.

19 contacts replied within 14 days, equivalent to 35.2% of the measured cohort.

The cohort contained 89 outbound messages and 32 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 19 responding contacts, 13 replied within 24 hours and 19 within seven days. The median time to a first reply was about 2.6 hours, measured only among contacts who replied.

33 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Course and information-product founders using paid traffic.

Make one offer easy to understand: AI-supported advertising testing with concierge onboarding.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-supported advertising testing with concierge onboarding. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 40 contacts replied from 97 reached: LinkedIn ecommerce resource launch
URL: https://sbl.so/case-study/linkedin-linkedin-ecommerce-resource-launch-cs178/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI shopping strategy briefing and updates to Marketplace and ecommerce professionals engaging with a resource post. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 40 Contacts who replied (14 days)
- 97 Contacts reached
- 41.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Marketplace and ecommerce professionals engaging with a resource post.
2. Make one offer easy to understand: AI shopping strategy briefing and updates.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
40 of 97 contacts replied within 14 days — a 41.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI shopping strategy briefing and updates. Its intended audience was Marketplace and ecommerce professionals engaging with a resource post.

The useful message-design angle is A comment keyword that triggers resource delivery. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 February 2026 to 11 February 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

97 contact records were reached through qualifying delivered or read outreach.

40 contacts replied within 14 days, equivalent to 41.2% of the measured cohort.

The cohort contained 118 outbound messages and 47 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 40 responding contacts, 32 replied within 24 hours and 40 within seven days. The median time to a first reply was about 1.5 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Marketplace and ecommerce professionals engaging with a resource post.

Make one offer easy to understand: AI shopping strategy briefing and updates.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI shopping strategy briefing and updates. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 19 contacts replied from 68 reached: LinkedIn AI search audit outreach
URL: https://sbl.so/case-study/linkedin-linkedin-ai-search-audit-outreach-cs179/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI search visibility audit to Growth and marketing leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 19 Contacts who replied (14 days)
- 68 Contacts reached
- 27.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Growth and marketing leaders.
2. Make one offer easy to understand: AI search visibility audit.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
19 of 68 contacts replied within 14 days — a 27.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI search visibility audit. Its intended audience was Growth and marketing leaders.

The useful message-design angle is An audit framed as a focused professional exchange. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 February 2026 to 1 March 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

68 contact records were reached through qualifying delivered or read outreach.

19 contacts replied within 14 days, equivalent to 27.9% of the measured cohort.

The cohort contained 110 outbound messages and 61 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 19 responding contacts, 9 replied within 24 hours and 18 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

16 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Growth and marketing leaders.

Make one offer easy to understand: AI search visibility audit.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI search visibility audit. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 75 contacts replied from 268 reached: LinkedIn webinar registration follow up
URL: https://sbl.so/case-study/linkedin-linkedin-webinar-registration-follow-up-cs180/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Webinar participation and related learning community to People commenting on a webinar-related LinkedIn post. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 75 Contacts who replied (14 days)
- 268 Contacts reached
- 28.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: People commenting on a webinar-related LinkedIn post.
2. Make one offer easy to understand: Webinar participation and related learning community.
3. Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
75 of 268 contacts replied within 14 days — a 28.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Webinar participation and related learning community. Its intended audience was People commenting on a webinar-related LinkedIn post.

The useful message-design angle is A registration form followed by a messaging-group invitation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 April 2026 to 6 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

268 contact records were reached through qualifying delivered or read outreach.

75 contacts replied within 14 days, equivalent to 28.0% of the measured cohort.

The cohort contained 525 outbound messages and 143 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 75 responding contacts, 50 replied within 24 hours and 74 within seven days. The median time to a first reply was about 9.4 hours, measured only among contacts who replied.

165 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: People commenting on a webinar-related LinkedIn post.

Make one offer easy to understand: Webinar participation and related learning community.

Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Webinar participation and related learning community. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 45 contacts replied from 164 reached: LinkedIn website review outreach for software companies
URL: https://sbl.so/case-study/linkedin-linkedin-website-review-outreach-for-software-companies-cs181/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Digital presence and website conversion consulting to German B2B software and IT executives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 45 Contacts who replied (14 days)
- 164 Contacts reached
- 27.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: German B2B software and IT executives.
2. Make one offer easy to understand: Digital presence and website conversion consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
45 of 164 contacts replied within 14 days — a 27.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Digital presence and website conversion consulting. Its intended audience was German B2B software and IT executives.

The useful message-design angle is A brief exchange with a personalized report as an alternative. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 April 2026 to 2 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

164 contact records were reached through qualifying delivered or read outreach.

45 contacts replied within 14 days, equivalent to 27.4% of the measured cohort.

The cohort contained 455 outbound messages and 54 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 45 responding contacts, 21 replied within 24 hours and 39 within seven days. The median time to a first reply was about 37.9 hours, measured only among contacts who replied.

139 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: German B2B software and IT executives.

Make one offer easy to understand: Digital presence and website conversion consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Digital presence and website conversion consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 240 contacts replied from 656 reached: LinkedIn client acquisition coaching outreach
URL: https://sbl.so/case-study/linkedin-linkedin-client-acquisition-coaching-outreach-cs182/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Client-attraction mentoring to Career and executive coaches in Brazil. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 240 Contacts who replied (14 days)
- 656 Contacts reached
- 36.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Career and executive coaches in Brazil.
2. Make one offer easy to understand: Client-attraction mentoring.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
240 of 656 contacts replied within 14 days — a 36.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Client-attraction mentoring. Its intended audience was Career and executive coaches in Brazil.

The useful message-design angle is A short qualifying interview before a messaging handoff. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 May 2026 to 24 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

656 contact records were reached through qualifying delivered or read outreach.

240 contacts replied within 14 days, equivalent to 36.6% of the measured cohort.

The cohort contained 1,716 outbound messages and 428 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 240 responding contacts, 139 replied within 24 hours and 225 within seven days. The median time to a first reply was about 16.7 hours, measured only among contacts who replied.

377 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Career and executive coaches in Brazil.

Make one offer easy to understand: Client-attraction mentoring.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Client-attraction mentoring. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 314 contacts replied from 1,040 reached: LinkedIn business development for coaches and speakers
URL: https://sbl.so/case-study/linkedin-linkedin-business-development-for-coaches-and-speakers-cs183/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Business development mentoring for expert-led programs to Brazilian coaches, mentors, consultants, speakers and advisors. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 314 Contacts who replied (14 days)
- 1,040 Contacts reached
- 30.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Brazilian coaches, mentors, consultants, speakers and advisors.
2. Make one offer easy to understand: Business development mentoring for expert-led programs.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
314 of 1,040 contacts replied within 14 days — a 30.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Business development mentoring for expert-led programs. Its intended audience was Brazilian coaches, mentors, consultants, speakers and advisors.

The useful message-design angle is An interview about growing an expert-led business. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 July 2026 to 23 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,040 contact records were reached through qualifying delivered or read outreach.

314 contacts replied within 14 days, equivalent to 30.2% of the measured cohort.

The cohort contained 2,345 outbound messages and 474 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 314 responding contacts, 178 replied within 24 hours and 295 within seven days. The median time to a first reply was about 15.8 hours, measured only among contacts who replied.

547 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Brazilian coaches, mentors, consultants, speakers and advisors.

Make one offer easy to understand: Business development mentoring for expert-led programs.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Business development mentoring for expert-led programs. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 103 contacts replied from 362 reached: LinkedIn insurance lead generation partnership
URL: https://sbl.so/case-study/linkedin-linkedin-insurance-lead-generation-partnership-cs184/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Pay-per-lead service for insurance agents to Insurance agents in the United States. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 103 Contacts who replied (14 days)
- 362 Contacts reached
- 28.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Insurance agents in the United States.
2. Make one offer easy to understand: Pay-per-lead service for insurance agents.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
103 of 362 contacts replied within 14 days — a 28.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Pay-per-lead service for insurance agents. Its intended audience was Insurance agents in the United States.

The useful message-design angle is A lead-supply partnership rather than a policy pitch. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 May 2026 to 1 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

362 contact records were reached through qualifying delivered or read outreach.

103 contacts replied within 14 days, equivalent to 28.5% of the measured cohort.

The cohort contained 1,512 outbound messages and 289 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 103 responding contacts, 44 replied within 24 hours and 81 within seven days. The median time to a first reply was 2.1 days, measured only among contacts who replied.

291 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Insurance agents in the United States.

Make one offer easy to understand: Pay-per-lead service for insurance agents.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Pay-per-lead service for insurance agents. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 33 contacts replied from 154 reached: LinkedIn website development offer
URL: https://sbl.so/case-study/linkedin-linkedin-website-development-offer-cs186/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Website development service with a promotional offer to Existing professional connections considering a website project. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 33 Contacts who replied (14 days)
- 154 Contacts reached
- 21.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Existing professional connections considering a website project.
2. Make one offer easy to understand: Website development service with a promotional offer.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
33 of 154 contacts replied within 14 days — a 21.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Website development service with a promotional offer. Its intended audience was Existing professional connections considering a website project.

The useful message-design angle is An existing relationship as the context for a service offer. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 16 April 2026 to 17 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

154 contact records were reached through qualifying delivered or read outreach.

33 contacts replied within 14 days, equivalent to 21.4% of the measured cohort.

The cohort contained 376 outbound messages and 45 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 33 responding contacts, 12 replied within 24 hours and 29 within seven days. The median time to a first reply was 2.3 days, measured only among contacts who replied.

140 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Existing professional connections considering a website project.

Make one offer easy to understand: Website development service with a promotional offer.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Website development service with a promotional offer. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 20 contacts replied from 127 reached: LinkedIn social media agency outreach
URL: https://sbl.so/case-study/linkedin-linkedin-social-media-agency-outreach-cs187/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Social media management trial to Local business owners in France. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 20 Contacts who replied (14 days)
- 127 Contacts reached
- 15.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Local business owners in France.
2. Make one offer easy to understand: Social media management trial.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
20 of 127 contacts replied within 14 days — a 15.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Social media management trial. Its intended audience was Local business owners in France.

The useful message-design angle is A defined trial as an introduction to agency work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 April 2026 to 8 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

127 contact records were reached through qualifying delivered or read outreach.

20 contacts replied within 14 days, equivalent to 15.7% of the measured cohort.

The cohort contained 384 outbound messages and 31 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 20 responding contacts, 9 replied within 24 hours and 17 within seven days. The median time to a first reply was 2.4 days, measured only among contacts who replied.

117 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Local business owners in France.

Make one offer easy to understand: Social media management trial.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Social media management trial. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 26 contacts replied from 115 reached: LinkedIn recruitment agency client acquisition
URL: https://sbl.so/case-study/linkedin-linkedin-recruitment-agency-client-acquisition-cs188/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Outsourced client acquisition support to Recruitment and staffing agency owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 26 Contacts who replied (14 days)
- 115 Contacts reached
- 22.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Recruitment and staffing agency owners.
2. Make one offer easy to understand: Outsourced client acquisition support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
26 of 115 contacts replied within 14 days — a 22.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Outsourced client acquisition support. Its intended audience was Recruitment and staffing agency owners.

The useful message-design angle is A discovery conversation about agency growth needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 July 2026 to 7 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

115 contact records were reached through qualifying delivered or read outreach.

26 contacts replied within 14 days, equivalent to 22.6% of the measured cohort.

The cohort contained 350 outbound messages and 45 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 26 responding contacts, 11 replied within 24 hours and 25 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

99 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Recruitment and staffing agency owners.

Make one offer easy to understand: Outsourced client acquisition support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Outsourced client acquisition support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 17 contacts replied from 58 reached: LinkedIn marketing audit offer
URL: https://sbl.so/case-study/linkedin-linkedin-marketing-audit-offer-cs189/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-assisted marketing analysis to Existing professional connections. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 17 Contacts who replied (14 days)
- 58 Contacts reached
- 29.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Existing professional connections.
2. Make one offer easy to understand: AI-assisted marketing analysis.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
17 of 58 contacts replied within 14 days — a 29.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-assisted marketing analysis. Its intended audience was Existing professional connections.

The useful message-design angle is A small diagnostic before proposing a broader review. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 April 2026 to 1 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

58 contact records were reached through qualifying delivered or read outreach.

17 contacts replied within 14 days, equivalent to 29.3% of the measured cohort.

The cohort contained 152 outbound messages and 32 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 17 responding contacts, 9 replied within 24 hours and 17 within seven days. The median time to a first reply was about 16.9 hours, measured only among contacts who replied.

49 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Existing professional connections.

Make one offer easy to understand: AI-assisted marketing analysis.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-assisted marketing analysis. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 48 contacts replied from 109 reached: LinkedIn outreach services for career consultants
URL: https://sbl.so/case-study/linkedin-linkedin-outreach-services-for-career-consultants-cs190/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Done-for-you outreach and client acquisition support to Brazilian career consultants and coaches. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 48 Contacts who replied (14 days)
- 109 Contacts reached
- 44.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Brazilian career consultants and coaches.
2. Make one offer easy to understand: Done-for-you outreach and client acquisition support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
48 of 109 contacts replied within 14 days — a 44.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Done-for-you outreach and client acquisition support. Its intended audience was Brazilian career consultants and coaches.

The useful message-design angle is A simple business question before qualification and messaging handoff. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 July 2026 to 29 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

109 contact records were reached through qualifying delivered or read outreach.

48 contacts replied within 14 days, equivalent to 44.0% of the measured cohort.

The cohort contained 324 outbound messages and 95 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 48 responding contacts, 19 replied within 24 hours and 48 within seven days. The median time to a first reply was about 26.0 hours, measured only among contacts who replied.

90 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Brazilian career consultants and coaches.

Make one offer easy to understand: Done-for-you outreach and client acquisition support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Done-for-you outreach and client acquisition support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 473 contacts replied from 1,376 reached: LinkedIn lead qualification for coaching services
URL: https://sbl.so/case-study/linkedin-linkedin-lead-qualification-for-coaching-services-cs191/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Outreach and client acquisition services to Brazilian consultants and coaches. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 473 Contacts who replied (14 days)
- 1,376 Contacts reached
- 34.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Brazilian consultants and coaches.
2. Make one offer easy to understand: Outreach and client acquisition services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
473 of 1,376 contacts replied within 14 days — a 34.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Outreach and client acquisition services. Its intended audience was Brazilian consultants and coaches.

The useful message-design angle is A project-value qualification gate before the handoff. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 July 2026 to 25 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,376 contact records were reached through qualifying delivered or read outreach.

473 contacts replied within 14 days, equivalent to 34.4% of the measured cohort.

The cohort contained 4,381 outbound messages and 1,149 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 473 responding contacts, 243 replied within 24 hours and 421 within seven days. The median time to a first reply was about 20.6 hours, measured only among contacts who replied.

1,051 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Brazilian consultants and coaches.

Make one offer easy to understand: Outreach and client acquisition services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Outreach and client acquisition services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 11 contacts replied from 54 reached: LinkedIn nonprofit digital transformation outreach
URL: https://sbl.so/case-study/linkedin-linkedin-nonprofit-digital-transformation-outreach-cs192/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering Digital transformation consultation to Nonprofit decision-makers in Australia and New Zealand. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 11 Contacts who replied (14 days)
- 54 Contacts reached
- 20.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Nonprofit decision-makers in Australia and New Zealand.
2. Make one offer easy to understand: Digital transformation consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
11 of 54 contacts replied within 14 days — a 20.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Digital transformation consultation. Its intended audience was Nonprofit decision-makers in Australia and New Zealand.

The useful message-design angle is A consultation tied to organizational technology needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 April 2026 to 4 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

54 contact records were reached through qualifying delivered or read outreach.

11 contacts replied within 14 days, equivalent to 20.4% of the measured cohort.

The cohort contained 204 outbound messages and 14 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 11 responding contacts, 4 replied within 24 hours and 11 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

49 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Nonprofit decision-makers in Australia and New Zealand.

Make one offer easy to understand: Digital transformation consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Digital transformation consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 135 contacts replied from 778 reached: LinkedIn professional services growth outreach
URL: https://sbl.so/case-study/linkedin-linkedin-professional-services-growth-outreach-cs193/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Growth diagnostic for service businesses to Founders of professional services firms. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 135 Contacts who replied (14 days)
- 778 Contacts reached
- 17.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Founders of professional services firms.
2. Make one offer easy to understand: Growth diagnostic for service businesses.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
135 of 778 contacts replied within 14 days — a 17.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Growth diagnostic for service businesses. Its intended audience was Founders of professional services firms.

The useful message-design angle is Substantive follow-up before offering a requested diagnostic. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 April 2026 to 4 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

778 contact records were reached through qualifying delivered or read outreach.

135 contacts replied within 14 days, equivalent to 17.4% of the measured cohort.

The cohort contained 1,161 outbound messages and 445 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 135 responding contacts, 75 replied within 24 hours and 113 within seven days. The median time to a first reply was about 17.1 hours, measured only among contacts who replied.

164 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Founders of professional services firms.

Make one offer easy to understand: Growth diagnostic for service businesses.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Growth diagnostic for service businesses. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 27 contacts replied from 131 reached: LinkedIn relationship follow up
URL: https://sbl.so/case-study/linkedin-linkedin-relationship-follow-up-cs194/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Professional relationship development to New professional contacts. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 27 Contacts who replied (14 days)
- 131 Contacts reached
- 20.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: New professional contacts.
2. Make one offer easy to understand: Professional relationship development.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
27 of 131 contacts replied within 14 days — a 20.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Professional relationship development. Its intended audience was New professional contacts.

The useful message-design angle is Rapport before a business-specific next step. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 June 2026 to 1 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

131 contact records were reached through qualifying delivered or read outreach.

27 contacts replied within 14 days, equivalent to 20.6% of the measured cohort.

The cohort contained 134 outbound messages and 51 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 27 responding contacts, 11 replied within 24 hours and 20 within seven days. The median time to a first reply was 3.4 days, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: New professional contacts.

Make one offer easy to understand: Professional relationship development.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Professional relationship development. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 80 contacts replied from 316 reached: LinkedIn bookkeeper directory outreach
URL: https://sbl.so/case-study/linkedin-linkedin-bookkeeper-directory-outreach-cs195/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Free directory listing and recurring marketing webinars to Bookkeepers serving the United States. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 80 Contacts who replied (14 days)
- 316 Contacts reached
- 25.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Bookkeepers serving the United States.
2. Make one offer easy to understand: Free directory listing and recurring marketing webinars.
3. Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
80 of 316 contacts replied within 14 days — a 25.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Free directory listing and recurring marketing webinars. Its intended audience was Bookkeepers serving the United States.

The useful message-design angle is A practical listing resource paired with ongoing education. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 23 April 2026 to 10 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

316 contact records were reached through qualifying delivered or read outreach.

80 contacts replied within 14 days, equivalent to 25.3% of the measured cohort.

The cohort contained 607 outbound messages and 143 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 80 responding contacts, 40 replied within 24 hours and 74 within seven days. The median time to a first reply was about 25.1 hours, measured only among contacts who replied.

264 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Bookkeepers serving the United States.

Make one offer easy to understand: Free directory listing and recurring marketing webinars.

Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Free directory listing and recurring marketing webinars. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 50 contacts replied from 177 reached: LinkedIn brand positioning consultation outreach
URL: https://sbl.so/case-study/linkedin-linkedin-brand-positioning-consultation-outreach-cs196/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Authority and positioning strategy consultation to Service business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 50 Contacts who replied (14 days)
- 177 Contacts reached
- 28.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Service business owners.
2. Make one offer easy to understand: Authority and positioning strategy consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
50 of 177 contacts replied within 14 days — a 28.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Authority and positioning strategy consultation. Its intended audience was Service business owners.

The useful message-design angle is Positioning and authority as the discovery focus. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 20 April 2026 to 12 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

177 contact records were reached through qualifying delivered or read outreach.

50 contacts replied within 14 days, equivalent to 28.2% of the measured cohort.

The cohort contained 351 outbound messages and 108 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 50 responding contacts, 23 replied within 24 hours and 47 within seven days. The median time to a first reply was about 29.6 hours, measured only among contacts who replied.

59 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Service business owners.

Make one offer easy to understand: Authority and positioning strategy consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Authority and positioning strategy consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 151 reached: LinkedIn white label SEO partnership
URL: https://sbl.so/case-study/linkedin-linkedin-white-label-seo-partnership-cs197/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering White-label search optimization services to Marketing and branding agencies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 151 Contacts reached
- 15.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Marketing and branding agencies.
2. Make one offer easy to understand: White-label search optimization services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 151 contacts replied within 14 days — a 15.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around White-label search optimization services. Its intended audience was Marketing and branding agencies.

The useful message-design angle is An agency delivery partnership with a defined service. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 September 2026 to 14 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

151 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 15.2% of the measured cohort.

The cohort contained 245 outbound messages and 34 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 14 replied within 24 hours and 23 within seven days. The median time to a first reply was about 20.3 hours, measured only among contacts who replied.

28 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Marketing and branding agencies.

Make one offer easy to understand: White-label search optimization services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: White-label search optimization services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 100 contacts replied from 358 reached: LinkedIn marketing outreach to healthcare professionals
URL: https://sbl.so/case-study/linkedin-linkedin-marketing-outreach-to-healthcare-professionals-cs198/
Industry: Healthcare & Wellness
Channel: LinkedIn

An anonymized LinkedIn campaign offering LinkedIn growth and marketing consultation to Private healthcare professionals in Portugal. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 100 Contacts who replied (14 days)
- 358 Contacts reached
- 27.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Private healthcare professionals in Portugal.
2. Make one offer easy to understand: LinkedIn growth and marketing consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
100 of 358 contacts replied within 14 days — a 27.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around LinkedIn growth and marketing consultation. Its intended audience was Private healthcare professionals in Portugal.

The useful message-design angle is A usage survey before diagnosing business development needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 April 2026 to 21 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

358 contact records were reached through qualifying delivered or read outreach.

100 contacts replied within 14 days, equivalent to 27.9% of the measured cohort.

The cohort contained 365 outbound messages and 215 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 100 responding contacts, 75 replied within 24 hours and 92 within seven days. The median time to a first reply was about 3.4 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Private healthcare professionals in Portugal.

Make one offer easy to understand: LinkedIn growth and marketing consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: LinkedIn growth and marketing consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 74 contacts replied from 165 reached: LinkedIn strategy consultation outreach Botswana
URL: https://sbl.so/case-study/linkedin-linkedin-strategy-consultation-outreach-botswana-cs199/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering LinkedIn strategy and growth consultation to Botswana founders, executives and consultants. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 74 Contacts who replied (14 days)
- 165 Contacts reached
- 44.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Botswana founders, executives and consultants.
2. Make one offer easy to understand: LinkedIn strategy and growth consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
74 of 165 contacts replied within 14 days — a 44.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around LinkedIn strategy and growth consultation. Its intended audience was Botswana founders, executives and consultants.

The useful message-design angle is A survey-led introduction before a strategy call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 April 2026 to 28 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

165 contact records were reached through qualifying delivered or read outreach.

74 contacts replied within 14 days, equivalent to 44.8% of the measured cohort.

The cohort contained 274 outbound messages and 118 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 74 responding contacts, 51 replied within 24 hours and 70 within seven days. The median time to a first reply was about 6.2 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Botswana founders, executives and consultants.

Make one offer easy to understand: LinkedIn strategy and growth consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: LinkedIn strategy and growth consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 54 contacts replied from 102 reached: LinkedIn business email services for agencies
URL: https://sbl.so/case-study/linkedin-linkedin-business-email-services-for-agencies-cs200/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Business email account sourcing to B2B agency founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 54 Contacts who replied (14 days)
- 102 Contacts reached
- 52.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: B2B agency founders.
2. Make one offer easy to understand: Business email account sourcing.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
54 of 102 contacts replied within 14 days — a 52.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Business email account sourcing. Its intended audience was B2B agency founders.

The useful message-design angle is A specific outbound infrastructure purchasing need. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 April 2026 to 29 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

102 contact records were reached through qualifying delivered or read outreach.

54 contacts replied within 14 days, equivalent to 52.9% of the measured cohort.

The cohort contained 316 outbound messages and 103 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 54 responding contacts, 30 replied within 24 hours and 48 within seven days. The median time to a first reply was about 11.0 hours, measured only among contacts who replied.

69 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: B2B agency founders.

Make one offer easy to understand: Business email account sourcing.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Business email account sourcing. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 404 contacts replied from 1,094 reached: linkedin personal branding services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-linkedin-personal-branding-services-linkedin-case-study-cs201/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering LinkedIn personal branding services to B2B founders and CEOs. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 404 Contacts who replied (14 days)
- 1,094 Contacts reached
- 36.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: B2B founders and CEOs.
2. Make one offer easy to understand: LinkedIn personal branding services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
404 of 1,094 contacts replied within 14 days — a 36.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around LinkedIn personal branding services. Its intended audience was B2B founders and CEOs.

The useful message-design angle is Lead with the founder's authority and visibility needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 May 2026 to 9 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,094 contact records were reached through qualifying delivered or read outreach.

404 contacts replied within 14 days, equivalent to 36.9% of the measured cohort.

The cohort contained 3,573 outbound messages and 811 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 404 responding contacts, 225 replied within 24 hours and 379 within seven days. The median time to a first reply was about 15.8 hours, measured only among contacts who replied.

856 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: B2B founders and CEOs.

Make one offer easy to understand: LinkedIn personal branding services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: LinkedIn personal branding services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 34 contacts replied from 65 reached: verified niche lead samples and prospecting services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-verified-niche-lead-samples-and-prospecting-services-linkedin-case-study-cs202/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Verified niche lead samples and prospecting services to IT consulting and services firms. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 34 Contacts who replied (14 days)
- 65 Contacts reached
- 52.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: IT consulting and services firms.
2. Make one offer easy to understand: Verified niche lead samples and prospecting services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
34 of 65 contacts replied within 14 days — a 52.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Verified niche lead samples and prospecting services. Its intended audience was IT consulting and services firms.

The useful message-design angle is Use a tangible sample before inviting a sales discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 May 2026 to 20 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

65 contact records were reached through qualifying delivered or read outreach.

34 contacts replied within 14 days, equivalent to 52.3% of the measured cohort.

The cohort contained 197 outbound messages and 97 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 34 responding contacts, 26 replied within 24 hours and 33 within seven days. The median time to a first reply was about 3.9 hours, measured only among contacts who replied.

32 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: IT consulting and services firms.

Make one offer easy to understand: Verified niche lead samples and prospecting services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Verified niche lead samples and prospecting services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 90 contacts replied from 464 reached: managed prospecting services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-managed-prospecting-services-linkedin-case-study-cs203/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Managed prospecting services to B2B service business owners in Western Europe. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 90 Contacts who replied (14 days)
- 464 Contacts reached
- 19.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: B2B service business owners in Western Europe.
2. Make one offer easy to understand: Managed prospecting services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
90 of 464 contacts replied within 14 days — a 19.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Managed prospecting services. Its intended audience was B2B service business owners in Western Europe.

The useful message-design angle is Acknowledge outreach fatigue before exploring pipeline needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 May 2026 to 8 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

464 contact records were reached through qualifying delivered or read outreach.

90 contacts replied within 14 days, equivalent to 19.4% of the measured cohort.

The cohort contained 1,101 outbound messages and 110 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 90 responding contacts, 42 replied within 24 hours and 78 within seven days. The median time to a first reply was about 33.4 hours, measured only among contacts who replied.

370 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: B2B service business owners in Western Europe.

Make one offer easy to understand: Managed prospecting services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Managed prospecting services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 28 contacts replied from 79 reached: a community fitness racing event LinkedIn case study
URL: https://sbl.so/case-study/linkedin-a-community-fitness-racing-event-linkedin-case-study-cs204/
Industry: Hospitality & Events
Channel: LinkedIn

An anonymized LinkedIn campaign offering A community fitness racing event to UK fitness enthusiasts across experience levels. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 28 Contacts who replied (14 days)
- 79 Contacts reached
- 35.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK fitness enthusiasts across experience levels.
2. Make one offer easy to understand: A community fitness racing event.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
28 of 79 contacts replied within 14 days — a 35.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around A community fitness racing event. Its intended audience was UK fitness enthusiasts across experience levels.

The useful message-design angle is Connect an event invitation with an inclusive participation message. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 June 2026 to 22 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

79 contact records were reached through qualifying delivered or read outreach.

28 contacts replied within 14 days, equivalent to 35.4% of the measured cohort.

The cohort contained 140 outbound messages and 58 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 28 responding contacts, 12 replied within 24 hours and 26 within seven days. The median time to a first reply was 2.4 days, measured only among contacts who replied.

27 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: UK fitness enthusiasts across experience levels.

Make one offer easy to understand: A community fitness racing event.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: A community fitness racing event. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 34 contacts replied from 188 reached: visibility reports and ai search optimization LinkedIn case study
URL: https://sbl.so/case-study/linkedin-visibility-reports-and-ai-search-optimization-linkedin-case-study-cs205/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Visibility reports and AI search optimization to Founders and CEOs of high-ticket service businesses. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 34 Contacts who replied (14 days)
- 188 Contacts reached
- 18.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Founders and CEOs of high-ticket service businesses.
2. Make one offer easy to understand: Visibility reports and AI search optimization.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
34 of 188 contacts replied within 14 days — a 18.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Visibility reports and AI search optimization. Its intended audience was Founders and CEOs of high-ticket service businesses.

The useful message-design angle is Make a visibility assessment the first step toward a service conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 May 2026 to 13 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

188 contact records were reached through qualifying delivered or read outreach.

34 contacts replied within 14 days, equivalent to 18.1% of the measured cohort.

The cohort contained 357 outbound messages and 71 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 34 responding contacts, 16 replied within 24 hours and 32 within seven days. The median time to a first reply was about 24.7 hours, measured only among contacts who replied.

42 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Founders and CEOs of high-ticket service businesses.

Make one offer easy to understand: Visibility reports and AI search optimization.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Visibility reports and AI search optimization. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 33 contacts replied from 180 reached: business and brand alignment assessments LinkedIn case study
URL: https://sbl.so/case-study/linkedin-business-and-brand-alignment-assessments-linkedin-case-study-cs206/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Business and brand alignment assessments to Senior partners at consulting and advisory firms. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 33 Contacts who replied (14 days)
- 180 Contacts reached
- 18.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Senior partners at consulting and advisory firms.
2. Make one offer easy to understand: Business and brand alignment assessments.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
33 of 180 contacts replied within 14 days — a 18.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Business and brand alignment assessments. Its intended audience was Senior partners at consulting and advisory firms.

The useful message-design angle is Invite a peer discussion around alignment before proposing advisory work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 May 2026 to 19 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

180 contact records were reached through qualifying delivered or read outreach.

33 contacts replied within 14 days, equivalent to 18.3% of the measured cohort.

The cohort contained 357 outbound messages and 42 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 33 responding contacts, 6 replied within 24 hours and 28 within seven days. The median time to a first reply was 3.3 days, measured only among contacts who replied.

56 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Senior partners at consulting and advisory firms.

Make one offer easy to understand: Business and brand alignment assessments.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Business and brand alignment assessments. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 54 contacts replied from 173 reached: sales follow-up and deal-leak reviews LinkedIn case study
URL: https://sbl.so/case-study/linkedin-sales-follow-up-and-deal-leak-reviews-linkedin-case-study-cs207/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Sales follow-up and deal-leak reviews to Senior business decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 54 Contacts who replied (14 days)
- 173 Contacts reached
- 31.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Senior business decision-makers.
2. Make one offer easy to understand: Sales follow-up and deal-leak reviews.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
54 of 173 contacts replied within 14 days — a 31.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Sales follow-up and deal-leak reviews. Its intended audience was Senior business decision-makers.

The useful message-design angle is Use a diagnostic offer to discuss missed follow-up opportunities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 August 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

173 contact records were reached through qualifying delivered or read outreach.

54 contacts replied within 14 days, equivalent to 31.2% of the measured cohort.

The cohort contained 527 outbound messages and 110 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 54 responding contacts, 31 replied within 24 hours and 52 within seven days. The median time to a first reply was about 10.0 hours, measured only among contacts who replied.

140 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Senior business decision-makers.

Make one offer easy to understand: Sales follow-up and deal-leak reviews.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Sales follow-up and deal-leak reviews. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 28 contacts replied from 63 reached: personal branding recommendations and strategy calls LinkedIn case study
URL: https://sbl.so/case-study/linkedin-personal-branding-recommendations-and-strategy-calls-linkedin-case-study-cs208/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Personal branding recommendations and strategy calls to German-speaking entrepreneurs and personal brands. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 28 Contacts who replied (14 days)
- 63 Contacts reached
- 44.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: German-speaking entrepreneurs and personal brands.
2. Make one offer easy to understand: Personal branding recommendations and strategy calls.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
28 of 63 contacts replied within 14 days — a 44.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Personal branding recommendations and strategy calls. Its intended audience was German-speaking entrepreneurs and personal brands.

The useful message-design angle is Use a questionnaire to make the next conversation more relevant. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 June 2026 to 6 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

63 contact records were reached through qualifying delivered or read outreach.

28 contacts replied within 14 days, equivalent to 44.4% of the measured cohort.

The cohort contained 157 outbound messages and 41 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 28 responding contacts, 18 replied within 24 hours and 25 within seven days. The median time to a first reply was about 4.2 hours, measured only among contacts who replied.

42 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: German-speaking entrepreneurs and personal brands.

Make one offer easy to understand: Personal branding recommendations and strategy calls.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Personal branding recommendations and strategy calls. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 25 contacts replied from 87 reached: linkedin content attribution software LinkedIn case study
URL: https://sbl.so/case-study/linkedin-linkedin-content-attribution-software-linkedin-case-study-cs209/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering LinkedIn content attribution software to Content and ghostwriting agencies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 25 Contacts who replied (14 days)
- 87 Contacts reached
- 28.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Content and ghostwriting agencies.
2. Make one offer easy to understand: LinkedIn content attribution software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
25 of 87 contacts replied within 14 days — a 28.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around LinkedIn content attribution software. Its intended audience was Content and ghostwriting agencies.

The useful message-design angle is Frame a software trial around connecting content activity with CRM leads. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 28 May 2026 to 11 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

87 contact records were reached through qualifying delivered or read outreach.

25 contacts replied within 14 days, equivalent to 28.7% of the measured cohort.

The cohort contained 184 outbound messages and 45 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 25 responding contacts, 19 replied within 24 hours and 25 within seven days. The median time to a first reply was about 1.8 hours, measured only among contacts who replied.

66 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Content and ghostwriting agencies.

Make one offer easy to understand: LinkedIn content attribution software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: LinkedIn content attribution software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 95 contacts replied from 205 reached: positioning and external perception consulting LinkedIn case study
URL: https://sbl.so/case-study/linkedin-positioning-and-external-perception-consulting-linkedin-case-study-cs210/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Positioning and external perception consulting to Self-employed coaches trainers and consultants in German-speaking markets. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 95 Contacts who replied (14 days)
- 205 Contacts reached
- 46.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Self-employed coaches trainers and consultants in German-speaking markets.
2. Make one offer easy to understand: Positioning and external perception consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
95 of 205 contacts replied within 14 days — a 46.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Positioning and external perception consulting. Its intended audience was Self-employed coaches trainers and consultants in German-speaking markets.

The useful message-design angle is Explore the gap between expertise and how prospects perceive it. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 May 2026 to 15 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

205 contact records were reached through qualifying delivered or read outreach.

95 contacts replied within 14 days, equivalent to 46.3% of the measured cohort.

The cohort contained 536 outbound messages and 198 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 95 responding contacts, 45 replied within 24 hours and 83 within seven days. The median time to a first reply was about 36.8 hours, measured only among contacts who replied.

148 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Self-employed coaches trainers and consultants in German-speaking markets.

Make one offer easy to understand: Positioning and external perception consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Positioning and external perception consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 178 replies from 346 contacts: a specific event-services offer
URL: https://sbl.so/case-study/event-services-linkedin-outreach/
Industry: Hospitality & Events
Channel: LinkedIn

A mobile-bar supplier explained the practical job it could take off an organizer's hands. Its LinkedIn campaign reached 346 contacts, with 178 replying within two weeks.

Reported results:
- 178 Contacts who replied (14 days)
- 346 Contacts reached
- 51.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Event managers in Slovenia.
2. Make one offer easy to understand: Mobile bar and event supplier services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
An event supplier has to help a buyer picture where the service fits. This mobile-bar business used LinkedIn to introduce its offer, explain the work it could handle and ask whether the recipient wanted to know more.

The analyzed campaign reached 346 distinct contacts. Within two weeks of their first message, 178 had replied—a 51.4% reply rate. The conversations included requests for information, referrals and a recipient saying they would send an inquiry for an event.



Show the organizer where the service fits

The supplier offered mobile bars and support for company events. The campaign targeted people in event-related, HR, office-management and leadership roles, aiming to turn interest into contact details or an inquiry.

The challenge was practical: explain what the business could handle, find out whether an event was coming up and establish who was responsible for the decision. A relevant job title was a starting point; the conversation still had to establish fit.



Move from the service name to the job it handles

The opening message thanked the recipient for connecting, introduced the mobile-bar service and referenced the recipient's company. Follow-ups gave the offer more substance: drinks, service, equipment and atmosphere that the client's team would otherwise have to coordinate.

The messages were written in Slovenian. In one documented conversation, the supplier followed up two days after the introduction, then sent a final message five days after the introduction. That final message mentioned a starting package price. The recipient then said they would send an inquiry, and the supplier offered a contact form or a short coordination call.



The workflow: explain the offer, add detail, make the next step easy

Day 0Introduce the service

Thank the recipient for connecting, explain the mobile-bar offer and ask whether more information would be useful.



Day 2Add practical context

Explain the event tasks the supplier can handle so the buyer can picture how the service would fit.



Day 5Send a clear final follow-up

Restate the practical benefit and introduce a starting package price. In this conversation, the recipient then expressed inquiry intent.



Day 6Offer a route to an inquiry

Ask whether the interested recipient prefers a coordination call or the contact form.



This timeline follows one documented recipient conversation. It illustrates the sequence; timing and responses were not identical across all 346 contacts.



The messages behind the campaign

The introductionHello [First name], thank you for connecting. I'm [Sender] from [Event supplier]—mobile bars for events. … Would you like to know more about our services?English translation · excerpt, names replaced

A recipient's responseThank you for the presentation. Tomorrow we will send you an inquiry for one of our events.English translation · excerpt

The next stepCould you share a phone number here for a short coordination call, or would you prefer to fill out the contact form?English translation · excerpt, identifying link omitted





The right company still needs the right contact

Some recipients asked for a presentation, offered to forward information or expressed interest in a future event. Others said they did not organize events or that a different team handled the work.

That distinction matters. A response can help identify the right route into an organization even when the person replying is not the buyer. It can also tell the supplier to stop: some recipients had no relevant event planned or clearly declined further information.



178 contacts replied across the campaign

Of 346 distinct contacts, 178 replied within two weeks: a 51.4% reply rate. Recorded follow-up messages appeared for 250 contacts during their response windows, so these results describe the campaign sequence as a whole.

The reviewed messages include inquiry intent, information requests, referrals and refusals. The recipient who said they would submit an inquiry provided a promising next step; the extract does not confirm that an inquiry or event booking followed.



Make the offer concrete, then establish timing and ownership

1Explain the work you take off the buyer's hands

A specific operational benefit helps an organizer picture the service at an event. Describe what your team actually handles.





2Make each follow-up add something

The reviewed sequence added practical context and then a starting price. Give a buyer a new reason to understand the offer instead of repeating the first question.





3Find the decision route early

Ask who handles the event, when it is planned and what the organization needs. Respect a refusal and make referrals easy to act on.







Start with the event, not a long company introduction

Adaptable template · newly writtenHello [First name], thanks for connecting.

We help teams run [event type] by handling [specific job or service].

If [Company] has an event coming up, would a short overview be useful?



Adaptable follow-upA little more context: we take care of [two or three concrete responsibilities], so your team can focus on [relevant priority]. Are you the right person to speak with about upcoming events?

When someone is interested, ask about the date, location and guest count, then offer a simple inquiry route. Use your own verified capabilities and prices. Only reference previous work you can substantiate.



A good service pitch helps a buyer see the job getting done. Make that picture specific, follow up with useful detail and give interested people a straightforward way to discuss their event.

Adapt the event-services workflow ↑



About these resultsBased on messages stored through 15 October 2026. We counted 346 distinct contacts with recorded sent messages and checked for a reply over the following two weeks. Contacts with earlier incoming messages in the available history or overlapping outreach from other campaigns were excluded. The workflow timeline describes one recipient's conversation. English translations are labeled and names are replaced. Replies include interest and refusals. Completed inquiries, bookings and revenue were not verified.

---

## 60 contacts replied from 139 reached: mobile bar and company event services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-mobile-bar-and-company-event-services-linkedin-case-study-cs212/
Industry: Hospitality & Events
Channel: LinkedIn

An anonymized LinkedIn campaign offering Mobile bar and company event services to HR managers responsible for company events. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 60 Contacts who replied (14 days)
- 139 Contacts reached
- 43.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: HR managers responsible for company events.
2. Make one offer easy to understand: Mobile bar and company event services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
60 of 139 contacts replied within 14 days — a 43.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Mobile bar and company event services. Its intended audience was HR managers responsible for company events.

The useful message-design angle is Qualify who organizes internal events before discussing supplier support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 May 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

139 contact records were reached through qualifying delivered or read outreach.

60 contacts replied within 14 days, equivalent to 43.2% of the measured cohort.

The cohort contained 398 outbound messages and 86 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 60 responding contacts, 31 replied within 24 hours and 58 within seven days. The median time to a first reply was about 21.3 hours, measured only among contacts who replied.

103 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: HR managers responsible for company events.

Make one offer easy to understand: Mobile bar and company event services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Mobile bar and company event services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 62 contacts replied from 380 reached: resources and coaching for a part-time digital marketing business LinkedIn case study
URL: https://sbl.so/case-study/linkedin-resources-and-coaching-for-a-part-time-digital-marketing-business-linkedin-case-study-cs213/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Resources and coaching for a part-time digital marketing business to Dutch professionals exploring additional business opportunities. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 62 Contacts who replied (14 days)
- 380 Contacts reached
- 16.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Dutch professionals exploring additional business opportunities.
2. Make one offer easy to understand: Resources and coaching for a part-time digital marketing business.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
62 of 380 contacts replied within 14 days — a 16.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Resources and coaching for a part-time digital marketing business. Its intended audience was Dutch professionals exploring additional business opportunities.

The useful message-design angle is Begin with useful resources before a coaching conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 May 2026 to 30 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

380 contact records were reached through qualifying delivered or read outreach.

62 contacts replied within 14 days, equivalent to 16.3% of the measured cohort.

The cohort contained 661 outbound messages and 103 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 62 responding contacts, 40 replied within 24 hours and 60 within seven days. The median time to a first reply was about 7.6 hours, measured only among contacts who replied.

107 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Dutch professionals exploring additional business opportunities.

Make one offer easy to understand: Resources and coaching for a part-time digital marketing business.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Resources and coaching for a part-time digital marketing business. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 78 contacts replied from 199 reached: recorded sales-call analysis LinkedIn case study
URL: https://sbl.so/case-study/linkedin-recorded-sales-call-analysis-linkedin-case-study-cs214/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Recorded sales-call analysis to Experienced B2B salespeople and founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 78 Contacts who replied (14 days)
- 199 Contacts reached
- 39.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Experienced B2B salespeople and founders.
2. Make one offer easy to understand: Recorded sales-call analysis.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
78 of 199 contacts replied within 14 days — a 39.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Recorded sales-call analysis. Its intended audience was Experienced B2B salespeople and founders.

The useful message-design angle is Ground a coaching discussion in an actual sales call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 June 2026 to 8 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

199 contact records were reached through qualifying delivered or read outreach.

78 contacts replied within 14 days, equivalent to 39.2% of the measured cohort.

The cohort contained 493 outbound messages and 127 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 78 responding contacts, 40 replied within 24 hours and 72 within seven days. The median time to a first reply was about 21.0 hours, measured only among contacts who replied.

151 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Experienced B2B salespeople and founders.

Make one offer easy to understand: Recorded sales-call analysis.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Recorded sales-call analysis. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 18 contacts replied from 107 reached: conversion and lead-handling audits LinkedIn case study
URL: https://sbl.so/case-study/linkedin-conversion-and-lead-handling-audits-linkedin-case-study-cs215/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Conversion and lead-handling audits to Coaches and high-ticket service providers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 18 Contacts who replied (14 days)
- 107 Contacts reached
- 16.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Coaches and high-ticket service providers.
2. Make one offer easy to understand: Conversion and lead-handling audits.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
18 of 107 contacts replied within 14 days — a 16.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Conversion and lead-handling audits. Its intended audience was Coaches and high-ticket service providers.

The useful message-design angle is Explore lead handling and backend conversion before proposing support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 16 May 2026 to 23 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

107 contact records were reached through qualifying delivered or read outreach.

18 contacts replied within 14 days, equivalent to 16.8% of the measured cohort.

The cohort contained 257 outbound messages and 37 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 18 responding contacts, 8 replied within 24 hours and 18 within seven days. The median time to a first reply was about 38.3 hours, measured only among contacts who replied.

71 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Coaches and high-ticket service providers.

Make one offer easy to understand: Conversion and lead-handling audits.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Conversion and lead-handling audits. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 13 contacts replied from 53 reached: strategic intelligence and neuroanalytics for agency pitches LinkedIn case study
URL: https://sbl.so/case-study/linkedin-strategic-intelligence-and-neuroanalytics-for-agency-pitches-linkedin-case-study-cs216/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Strategic intelligence and neuroanalytics for agency pitches to Premium marketing agencies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 13 Contacts who replied (14 days)
- 53 Contacts reached
- 24.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Premium marketing agencies.
2. Make one offer easy to understand: Strategic intelligence and neuroanalytics for agency pitches.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
13 of 53 contacts replied within 14 days — a 24.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Strategic intelligence and neuroanalytics for agency pitches. Its intended audience was Premium marketing agencies.

The useful message-design angle is Position differentiated pitch insight as a reason to start a conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 18 May 2026 to 21 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

53 contact records were reached through qualifying delivered or read outreach.

13 contacts replied within 14 days, equivalent to 24.5% of the measured cohort.

The cohort contained 72 outbound messages and 26 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 13 responding contacts, 9 replied within 24 hours and 13 within seven days. The median time to a first reply was about 2.1 hours, measured only among contacts who replied.

19 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Premium marketing agencies.

Make one offer easy to understand: Strategic intelligence and neuroanalytics for agency pitches.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Strategic intelligence and neuroanalytics for agency pitches. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 24 contacts replied from 112 reached: ai search visibility scans LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-search-visibility-scans-linkedin-case-study-cs217/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI search visibility scans to Business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 24 Contacts who replied (14 days)
- 112 Contacts reached
- 21.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business owners.
2. Make one offer easy to understand: AI search visibility scans.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
24 of 112 contacts replied within 14 days — a 21.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI search visibility scans. Its intended audience was Business owners.

The useful message-design angle is Make discoverability in AI search a concrete diagnostic topic. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 June 2026 to 23 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

112 contact records were reached through qualifying delivered or read outreach.

24 contacts replied within 14 days, equivalent to 21.4% of the measured cohort.

The cohort contained 309 outbound messages and 47 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 24 responding contacts, 18 replied within 24 hours and 23 within seven days. The median time to a first reply was about 4.5 hours, measured only among contacts who replied.

88 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Business owners.

Make one offer easy to understand: AI search visibility scans.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI search visibility scans. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 38 contacts replied from 68 reached: business growth and process improvement conversations LinkedIn case study
URL: https://sbl.so/case-study/linkedin-business-growth-and-process-improvement-conversations-linkedin-case-study-cs218/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Business growth and process improvement conversations to Owners and decision-makers across service businesses. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 38 Contacts who replied (14 days)
- 68 Contacts reached
- 55.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Owners and decision-makers across service businesses.
2. Make one offer easy to understand: Business growth and process improvement conversations.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
38 of 68 contacts replied within 14 days — a 55.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Business growth and process improvement conversations. Its intended audience was Owners and decision-makers across service businesses.

The useful message-design angle is Ask about the business before discussing acquisition or AI process opportunities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 June 2026 to 7 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

68 contact records were reached through qualifying delivered or read outreach.

38 contacts replied within 14 days, equivalent to 55.9% of the measured cohort.

The cohort contained 181 outbound messages and 154 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 38 responding contacts, 28 replied within 24 hours and 37 within seven days. The median time to a first reply was about 1.9 hours, measured only among contacts who replied.

38 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Owners and decision-makers across service businesses.

Make one offer easy to understand: Business growth and process improvement conversations.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Business growth and process improvement conversations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 120 contacts replied from 406 reached: micro-tests of messaging headlines and creative LinkedIn case study
URL: https://sbl.so/case-study/linkedin-micro-tests-of-messaging-headlines-and-creative-linkedin-case-study-cs219/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Micro-tests of messaging headlines and creative to SaaS coaching and high-ticket business founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 120 Contacts who replied (14 days)
- 406 Contacts reached
- 29.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: SaaS coaching and high-ticket business founders.
2. Make one offer easy to understand: Micro-tests of messaging headlines and creative.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
120 of 406 contacts replied within 14 days — a 29.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Micro-tests of messaging headlines and creative. Its intended audience was SaaS coaching and high-ticket business founders.

The useful message-design angle is Use structured questions to investigate messaging before a discovery call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 May 2026 to 24 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

406 contact records were reached through qualifying delivered or read outreach.

120 contacts replied within 14 days, equivalent to 29.6% of the measured cohort.

The cohort contained 1,373 outbound messages and 260 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 120 responding contacts, 49 replied within 24 hours and 106 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

324 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: SaaS coaching and high-ticket business founders.

Make one offer easy to understand: Micro-tests of messaging headlines and creative.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Micro-tests of messaging headlines and creative. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 28 contacts replied from 91 reached: podcast-led business development services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-podcast-led-business-development-services-linkedin-case-study-cs220/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Podcast-led business development services to Expert-led B2B founders and CEOs. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 28 Contacts who replied (14 days)
- 91 Contacts reached
- 30.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Expert-led B2B founders and CEOs.
2. Make one offer easy to understand: Podcast-led business development services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
28 of 91 contacts replied within 14 days — a 30.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Podcast-led business development services. Its intended audience was Expert-led B2B founders and CEOs.

The useful message-design angle is Offer a pilot format rather than make an unsupported sales-cycle claim. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 29 May 2026 to 11 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

91 contact records were reached through qualifying delivered or read outreach.

28 contacts replied within 14 days, equivalent to 30.8% of the measured cohort.

The cohort contained 247 outbound messages and 42 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 28 responding contacts, 13 replied within 24 hours and 26 within seven days. The median time to a first reply was about 37.6 hours, measured only among contacts who replied.

76 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Expert-led B2B founders and CEOs.

Make one offer easy to understand: Podcast-led business development services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Podcast-led business development services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 17 contacts replied from 54 reached: seo evaluations LinkedIn case study
URL: https://sbl.so/case-study/linkedin-seo-evaluations-linkedin-case-study-cs221/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering SEO evaluations to US business decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 17 Contacts who replied (14 days)
- 54 Contacts reached
- 31.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US business decision-makers.
2. Make one offer easy to understand: SEO evaluations.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
17 of 54 contacts replied within 14 days — a 31.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around SEO evaluations. Its intended audience was US business decision-makers.

The useful message-design angle is Ask permission to share an evaluation before proposing broader work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 August 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

54 contact records were reached through qualifying delivered or read outreach.

17 contacts replied within 14 days, equivalent to 31.5% of the measured cohort.

The cohort contained 170 outbound messages and 28 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 17 responding contacts, 4 replied within 24 hours and 16 within seven days. The median time to a first reply was 3.1 days, measured only among contacts who replied.

50 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: US business decision-makers.

Make one offer easy to understand: SEO evaluations.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: SEO evaluations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 22 contacts replied from 101 reached: clinic practice management software LinkedIn case study
URL: https://sbl.so/case-study/linkedin-clinic-practice-management-software-linkedin-case-study-cs222/
Industry: Healthcare & Wellness
Channel: LinkedIn

An anonymized LinkedIn campaign offering Clinic practice management software to Specialty clinic owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 22 Contacts who replied (14 days)
- 101 Contacts reached
- 21.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Specialty clinic owners.
2. Make one offer easy to understand: Clinic practice management software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
22 of 101 contacts replied within 14 days — a 21.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Clinic practice management software. Its intended audience was Specialty clinic owners.

The useful message-design angle is Connect a product demonstration with clinic operating needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 May 2026 to 6 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

101 contact records were reached through qualifying delivered or read outreach.

22 contacts replied within 14 days, equivalent to 21.8% of the measured cohort.

The cohort contained 316 outbound messages and 45 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 22 responding contacts, 9 replied within 24 hours and 21 within seven days. The median time to a first reply was about 24.9 hours, measured only among contacts who replied.

92 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Specialty clinic owners.

Make one offer easy to understand: Clinic practice management software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Clinic practice management software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 285 contacts replied from 1,163 reached: ai search visibility audits LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-search-visibility-audits-linkedin-case-study-cs223/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI search visibility audits to Business owners interested in AI discoverability. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 285 Contacts who replied (14 days)
- 1,163 Contacts reached
- 24.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business owners interested in AI discoverability.
2. Make one offer easy to understand: AI search visibility audits.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
285 of 1,163 contacts replied within 14 days — a 24.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI search visibility audits. Its intended audience was Business owners interested in AI discoverability.

The useful message-design angle is Use the audit offer with a defined scheduling handoff. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 31 August 2026 to 23 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,163 contact records were reached through qualifying delivered or read outreach.

285 contacts replied within 14 days, equivalent to 24.5% of the measured cohort.

The cohort contained 2,288 outbound messages and 510 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 285 responding contacts, 178 replied within 24 hours and 267 within seven days. The median time to a first reply was about 9.0 hours, measured only among contacts who replied.

474 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Business owners interested in AI discoverability.

Make one offer easy to understand: AI search visibility audits.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI search visibility audits. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 14 contacts replied from 53 reached: linkedin authority and personal branding services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-linkedin-authority-and-personal-branding-services-linkedin-case-study-cs224/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering LinkedIn authority and personal branding services to AI and technology founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 14 Contacts who replied (14 days)
- 53 Contacts reached
- 26.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: AI and technology founders.
2. Make one offer easy to understand: LinkedIn authority and personal branding services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
14 of 53 contacts replied within 14 days — a 26.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around LinkedIn authority and personal branding services. Its intended audience was AI and technology founders.

The useful message-design angle is Use an individual video introduction to make the branding offer tangible. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

53 contact records were reached through qualifying delivered or read outreach.

14 contacts replied within 14 days, equivalent to 26.4% of the measured cohort.

The cohort contained 156 outbound messages and 20 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 14 responding contacts, 3 replied within 24 hours and 12 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

47 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: AI and technology founders.

Make one offer easy to understand: LinkedIn authority and personal branding services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: LinkedIn authority and personal branding services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 51 contacts replied from 237 reached: ai career and collaboration discussions LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-career-and-collaboration-discussions-linkedin-case-study-cs225/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI career and collaboration discussions to US startup founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 51 Contacts who replied (14 days)
- 237 Contacts reached
- 21.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US startup founders.
2. Make one offer easy to understand: AI career and collaboration discussions.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
51 of 237 contacts replied within 14 days — a 21.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI career and collaboration discussions. Its intended audience was US startup founders.

The useful message-design angle is Open a founder conversation around roles and collaboration. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 28 July 2026 to 27 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

237 contact records were reached through qualifying delivered or read outreach.

51 contacts replied within 14 days, equivalent to 21.5% of the measured cohort.

The cohort contained 402 outbound messages and 72 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 51 responding contacts, 30 replied within 24 hours and 47 within seven days. The median time to a first reply was about 15.6 hours, measured only among contacts who replied.

97 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US startup founders.

Make one offer easy to understand: AI career and collaboration discussions.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI career and collaboration discussions. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 148 contacts replied from 931 reached: an ai and digital transformation workshop LinkedIn case study
URL: https://sbl.so/case-study/linkedin-an-ai-and-digital-transformation-workshop-linkedin-case-study-cs226/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering An AI and digital transformation workshop to Italian managers and marketing executives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 148 Contacts who replied (14 days)
- 931 Contacts reached
- 15.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Italian managers and marketing executives.
2. Make one offer easy to understand: An AI and digital transformation workshop.
3. Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
148 of 931 contacts replied within 14 days — a 15.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around An AI and digital transformation workshop. Its intended audience was Italian managers and marketing executives.

The useful message-design angle is Tie an invitation to a relevant professional learning topic. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 September 2026 to 14 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

931 contact records were reached through qualifying delivered or read outreach.

148 contacts replied within 14 days, equivalent to 15.9% of the measured cohort.

The cohort contained 2,838 outbound messages and 265 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 148 responding contacts, 75 replied within 24 hours and 144 within seven days. The median time to a first reply was about 23.5 hours, measured only among contacts who replied.

852 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Italian managers and marketing executives.

Make one offer easy to understand: An AI and digital transformation workshop.

Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: An AI and digital transformation workshop. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 17 contacts replied from 60 reached: organic digital marketing services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-organic-digital-marketing-services-linkedin-case-study-cs227/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Organic digital marketing services to US health and wellness business founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 17 Contacts who replied (14 days)
- 60 Contacts reached
- 28.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US health and wellness business founders.
2. Make one offer easy to understand: Organic digital marketing services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
17 of 60 contacts replied within 14 days — a 28.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Organic digital marketing services. Its intended audience was US health and wellness business founders.

The useful message-design angle is Introduce practical online marketing opportunities before a call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 June 2026 to 10 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

60 contact records were reached through qualifying delivered or read outreach.

17 contacts replied within 14 days, equivalent to 28.3% of the measured cohort.

The cohort contained 155 outbound messages and 22 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 17 responding contacts, 9 replied within 24 hours and 17 within seven days. The median time to a first reply was about 21.9 hours, measured only among contacts who replied.

50 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US health and wellness business founders.

Make one offer easy to understand: Organic digital marketing services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Organic digital marketing services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 16 contacts replied from 87 reached: ai startup roles and collaboration opportunities LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-startup-roles-and-collaboration-opportunities-linkedin-case-study-cs228/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI startup roles and collaboration opportunities to US startup founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 16 Contacts who replied (14 days)
- 87 Contacts reached
- 18.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US startup founders.
2. Make one offer easy to understand: AI startup roles and collaboration opportunities.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
16 of 87 contacts replied within 14 days — a 18.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI startup roles and collaboration opportunities. Its intended audience was US startup founders.

The useful message-design angle is Use a career-oriented conversation to explore founder needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 September 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

87 contact records were reached through qualifying delivered or read outreach.

16 contacts replied within 14 days, equivalent to 18.4% of the measured cohort.

The cohort contained 139 outbound messages and 49 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 16 responding contacts, 8 replied within 24 hours and 16 within seven days. The median time to a first reply was about 20.1 hours, measured only among contacts who replied.

15 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US startup founders.

Make one offer easy to understand: AI startup roles and collaboration opportunities.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI startup roles and collaboration opportunities. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 62 contacts replied from 181 reached: performance marketing with a profit-share offer LinkedIn case study
URL: https://sbl.so/case-study/linkedin-performance-marketing-with-a-profit-share-offer-linkedin-case-study-cs229/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering Performance marketing with a profit-share offer to E-commerce founders and growth leaders in German-speaking markets. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 62 Contacts who replied (14 days)
- 181 Contacts reached
- 34.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: E-commerce founders and growth leaders in German-speaking markets.
2. Make one offer easy to understand: Performance marketing with a profit-share offer.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
62 of 181 contacts replied within 14 days — a 34.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Performance marketing with a profit-share offer. Its intended audience was E-commerce founders and growth leaders in German-speaking markets.

The useful message-design angle is Explain the commercial offer before inviting a brief discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 June 2026 to 22 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

181 contact records were reached through qualifying delivered or read outreach.

62 contacts replied within 14 days, equivalent to 34.3% of the measured cohort.

The cohort contained 666 outbound messages and 109 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 62 responding contacts, 31 replied within 24 hours and 59 within seven days. The median time to a first reply was about 23.7 hours, measured only among contacts who replied.

149 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: E-commerce founders and growth leaders in German-speaking markets.

Make one offer easy to understand: Performance marketing with a profit-share offer.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Performance marketing with a profit-share offer. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 41 contacts replied from 152 reached: e-commerce performance marketing services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-e-commerce-performance-marketing-services-linkedin-case-study-cs230/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering E-commerce performance marketing services to E-commerce leaders in German-speaking markets. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 41 Contacts who replied (14 days)
- 152 Contacts reached
- 27.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: E-commerce leaders in German-speaking markets.
2. Make one offer easy to understand: E-commerce performance marketing services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
41 of 152 contacts replied within 14 days — a 27.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around E-commerce performance marketing services. Its intended audience was E-commerce leaders in German-speaking markets.

The useful message-design angle is Ask whether paid marketing is managed internally or by an agency. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

152 contact records were reached through qualifying delivered or read outreach.

41 contacts replied within 14 days, equivalent to 27.0% of the measured cohort.

The cohort contained 567 outbound messages and 69 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 41 responding contacts, 18 replied within 24 hours and 40 within seven days. The median time to a first reply was about 25.4 hours, measured only among contacts who replied.

126 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: E-commerce leaders in German-speaking markets.

Make one offer easy to understand: E-commerce performance marketing services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: E-commerce performance marketing services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 126 reached: messaging-platform advertising services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-messaging-platform-advertising-services-linkedin-case-study-cs231/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Messaging-platform advertising services to Chinese-speaking and Southeast Asian crypto growth teams. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 126 Contacts reached
- 18.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Chinese-speaking and Southeast Asian crypto growth teams.
2. Make one offer easy to understand: Messaging-platform advertising services.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 126 contacts replied within 14 days — a 18.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Messaging-platform advertising services. Its intended audience was Chinese-speaking and Southeast Asian crypto growth teams.

The useful message-design angle is Clarify advertising needs and budget before a human handoff. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 23 June 2026 to 16 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

126 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 18.3% of the measured cohort.

The cohort contained 352 outbound messages and 35 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 8 replied within 24 hours and 21 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

113 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Chinese-speaking and Southeast Asian crypto growth teams.

Make one offer easy to understand: Messaging-platform advertising services.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Messaging-platform advertising services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 14 contacts replied from 57 reached: seo advertising and digital marketing services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-seo-advertising-and-digital-marketing-services-linkedin-case-study-cs232/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering SEO advertising and digital marketing services to Spanish-speaking professionals and businesses. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 14 Contacts who replied (14 days)
- 57 Contacts reached
- 24.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Spanish-speaking professionals and businesses.
2. Make one offer easy to understand: SEO advertising and digital marketing services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
14 of 57 contacts replied within 14 days — a 24.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around SEO advertising and digital marketing services. Its intended audience was Spanish-speaking professionals and businesses.

The useful message-design angle is Introduce service breadth while asking which business need matters. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 June 2026 to 9 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

57 contact records were reached through qualifying delivered or read outreach.

14 contacts replied within 14 days, equivalent to 24.6% of the measured cohort.

The cohort contained 169 outbound messages and 27 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 14 responding contacts, 5 replied within 24 hours and 14 within seven days. The median time to a first reply was about 25.6 hours, measured only among contacts who replied.

51 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Spanish-speaking professionals and businesses.

Make one offer easy to understand: SEO advertising and digital marketing services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: SEO advertising and digital marketing services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 39 contacts replied from 176 reached: ai infrastructure financing partnerships LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-infrastructure-financing-partnerships-linkedin-case-study-cs233/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI infrastructure financing partnerships to Debt and infrastructure financing partners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 39 Contacts who replied (14 days)
- 176 Contacts reached
- 22.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Debt and infrastructure financing partners.
2. Make one offer easy to understand: AI infrastructure financing partnerships.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
39 of 176 contacts replied within 14 days — a 22.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI infrastructure financing partnerships. Its intended audience was Debt and infrastructure financing partners.

The useful message-design angle is Use the opening financing proposal as the editorial starting point. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 13 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

176 contact records were reached through qualifying delivered or read outreach.

39 contacts replied within 14 days, equivalent to 22.2% of the measured cohort.

The cohort contained 229 outbound messages and 84 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 39 responding contacts, 34 replied within 24 hours and 38 within seven days. The median time to a first reply was about 32 minutes, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Debt and infrastructure financing partners.

Make one offer easy to understand: AI infrastructure financing partnerships.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI infrastructure financing partnerships. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 24 contacts replied from 52 reached: seo and advertising for student recruitment LinkedIn case study
URL: https://sbl.so/case-study/linkedin-seo-and-advertising-for-student-recruitment-linkedin-case-study-cs234/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering SEO and advertising for student recruitment to Language academy directors and marketing managers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 24 Contacts who replied (14 days)
- 52 Contacts reached
- 46.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Language academy directors and marketing managers.
2. Make one offer easy to understand: SEO and advertising for student recruitment.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
24 of 52 contacts replied within 14 days — a 46.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around SEO and advertising for student recruitment. Its intended audience was Language academy directors and marketing managers.

The useful message-design angle is Offer a tailored recruitment strategy rather than a generic agency introduction. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 June 2026 to 5 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

52 contact records were reached through qualifying delivered or read outreach.

24 contacts replied within 14 days, equivalent to 46.2% of the measured cohort.

The cohort contained 131 outbound messages and 53 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 24 responding contacts, 13 replied within 24 hours and 24 within seven days. The median time to a first reply was about 12.1 hours, measured only among contacts who replied.

38 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Language academy directors and marketing managers.

Make one offer easy to understand: SEO and advertising for student recruitment.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: SEO and advertising for student recruitment. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 43 contacts replied from 141 reached: done-with-you cold outbound systems LinkedIn case study
URL: https://sbl.so/case-study/linkedin-done-with-you-cold-outbound-systems-linkedin-case-study-cs235/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Done-with-you cold outbound systems to B2B agency owners coaches consultants and service business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 43 Contacts who replied (14 days)
- 141 Contacts reached
- 30.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: B2B agency owners coaches consultants and service business owners.
2. Make one offer easy to understand: Done-with-you cold outbound systems.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
43 of 141 contacts replied within 14 days — a 30.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Done-with-you cold outbound systems. Its intended audience was B2B agency owners coaches consultants and service business owners.

The useful message-design angle is Invite a simple signal of interest before discussing outbound setup. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 September 2026 to 1 October 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

141 contact records were reached through qualifying delivered or read outreach.

43 contacts replied within 14 days, equivalent to 30.5% of the measured cohort.

The cohort contained 589 outbound messages and 131 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 43 responding contacts, 31 replied within 24 hours and 42 within seven days. The median time to a first reply was about 3.9 hours, measured only among contacts who replied.

140 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: B2B agency owners coaches consultants and service business owners.

Make one offer easy to understand: Done-with-you cold outbound systems.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Done-with-you cold outbound systems. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 13 contacts replied from 60 reached: marketing for qualified property site visits LinkedIn case study
URL: https://sbl.so/case-study/linkedin-marketing-for-qualified-property-site-visits-linkedin-case-study-cs236/
Industry: Property & Real Estate
Channel: LinkedIn

An anonymized LinkedIn campaign offering Marketing for qualified property site visits to Real estate developers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 13 Contacts who replied (14 days)
- 60 Contacts reached
- 21.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Real estate developers.
2. Make one offer easy to understand: Marketing for qualified property site visits.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
13 of 60 contacts replied within 14 days — a 21.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Marketing for qualified property site visits. Its intended audience was Real estate developers.

The useful message-design angle is Ask about lead quality and deal progression after sharing an example. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 June 2026 to 24 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

60 contact records were reached through qualifying delivered or read outreach.

13 contacts replied within 14 days, equivalent to 21.7% of the measured cohort.

The cohort contained 178 outbound messages and 20 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 13 responding contacts, 7 replied within 24 hours and 12 within seven days. The median time to a first reply was about 6.7 hours, measured only among contacts who replied.

53 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Real estate developers.

Make one offer easy to understand: Marketing for qualified property site visits.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Marketing for qualified property site visits. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 34 contacts replied from 67 reached: digital client acquisition audits for law firms LinkedIn case study
URL: https://sbl.so/case-study/linkedin-digital-client-acquisition-audits-for-law-firms-linkedin-case-study-cs237/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Digital client acquisition audits for law firms to Independent lawyers and law firms. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 34 Contacts who replied (14 days)
- 67 Contacts reached
- 50.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Independent lawyers and law firms.
2. Make one offer easy to understand: Digital client acquisition audits for law firms.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
34 of 67 contacts replied within 14 days — a 50.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Digital client acquisition audits for law firms. Its intended audience was Independent lawyers and law firms.

The useful message-design angle is Translate a legal practice growth need into an audit invitation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 20 June 2026 to 27 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

67 contact records were reached through qualifying delivered or read outreach.

34 contacts replied within 14 days, equivalent to 50.7% of the measured cohort.

The cohort contained 202 outbound messages and 71 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 34 responding contacts, 12 replied within 24 hours and 34 within seven days. The median time to a first reply was about 25.0 hours, measured only among contacts who replied.

55 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Independent lawyers and law firms.

Make one offer easy to understand: Digital client acquisition audits for law firms.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Digital client acquisition audits for law firms. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 26 contacts replied from 136 reached: a sales professional networking event LinkedIn case study
URL: https://sbl.so/case-study/linkedin-a-sales-professional-networking-event-linkedin-case-study-cs238/
Industry: Hospitality & Events
Channel: LinkedIn

An anonymized LinkedIn campaign offering A sales professional networking event to Closers appointment setters and heads of sales. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 26 Contacts who replied (14 days)
- 136 Contacts reached
- 19.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Closers appointment setters and heads of sales.
2. Make one offer easy to understand: A sales professional networking event.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
26 of 136 contacts replied within 14 days — a 19.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around A sales professional networking event. Its intended audience was Closers appointment setters and heads of sales.

The useful message-design angle is Make the value of the attendee network explicit without promising work. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 13 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

136 contact records were reached through qualifying delivered or read outreach.

26 contacts replied within 14 days, equivalent to 19.1% of the measured cohort.

The cohort contained 755 outbound messages and 65 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 26 responding contacts, 6 replied within 24 hours and 22 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

127 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Closers appointment setters and heads of sales.

Make one offer easy to understand: A sales professional networking event.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: A sales professional networking event. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 17 contacts replied from 91 reached: integrated website linkedin and advertising lead generation LinkedIn case study
URL: https://sbl.so/case-study/linkedin-integrated-website-linkedin-and-advertising-lead-generation-linkedin-case-study-cs239/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Integrated website LinkedIn and advertising lead generation to Early-stage startup decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 17 Contacts who replied (14 days)
- 91 Contacts reached
- 18.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Early-stage startup decision-makers.
2. Make one offer easy to understand: Integrated website LinkedIn and advertising lead generation.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
17 of 91 contacts replied within 14 days — a 18.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Integrated website LinkedIn and advertising lead generation. Its intended audience was Early-stage startup decision-makers.

The useful message-design angle is Connect multiple acquisition channels to a discovery conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 June 2026 to 22 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

91 contact records were reached through qualifying delivered or read outreach.

17 contacts replied within 14 days, equivalent to 18.7% of the measured cohort.

The cohort contained 145 outbound messages and 30 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 17 responding contacts, 10 replied within 24 hours and 17 within seven days. The median time to a first reply was about 15.1 hours, measured only among contacts who replied.

19 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Early-stage startup decision-makers.

Make one offer easy to understand: Integrated website LinkedIn and advertising lead generation.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Integrated website LinkedIn and advertising lead generation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 32 contacts replied from 57 reached: linkedin visibility content and growth services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-linkedin-visibility-content-and-growth-services-linkedin-case-study-cs240/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering LinkedIn visibility content and growth services to Founders and marketing leaders after funding or role changes. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 32 Contacts who replied (14 days)
- 57 Contacts reached
- 56.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Founders and marketing leaders after funding or role changes.
2. Make one offer easy to understand: LinkedIn visibility content and growth services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
32 of 57 contacts replied within 14 days — a 56.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around LinkedIn visibility content and growth services. Its intended audience was Founders and marketing leaders after funding or role changes.

The useful message-design angle is Use a business milestone to ask about visibility priorities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 June 2026 to 23 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

57 contact records were reached through qualifying delivered or read outreach.

32 contacts replied within 14 days, equivalent to 56.1% of the measured cohort.

The cohort contained 182 outbound messages and 91 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 32 responding contacts, 23 replied within 24 hours and 25 within seven days. The median time to a first reply was about 4.7 hours, measured only among contacts who replied.

30 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Founders and marketing leaders after funding or role changes.

Make one offer easy to understand: LinkedIn visibility content and growth services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: LinkedIn visibility content and growth services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 28 contacts replied from 151 reached: event lead capture and pipeline management software LinkedIn case study
URL: https://sbl.so/case-study/linkedin-event-lead-capture-and-pipeline-management-software-linkedin-case-study-cs241/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering Event lead capture and pipeline management software to Field marketing leaders and B2B event decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 28 Contacts who replied (14 days)
- 151 Contacts reached
- 18.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Field marketing leaders and B2B event decision-makers.
2. Make one offer easy to understand: Event lead capture and pipeline management software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
28 of 151 contacts replied within 14 days — a 18.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Event lead capture and pipeline management software. Its intended audience was Field marketing leaders and B2B event decision-makers.

The useful message-design angle is Open with professional connection before exploring event follow-up needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 June 2026 to 29 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

151 contact records were reached through qualifying delivered or read outreach.

28 contacts replied within 14 days, equivalent to 18.5% of the measured cohort.

The cohort contained 169 outbound messages and 35 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 28 responding contacts, 20 replied within 24 hours and 28 within seven days. The median time to a first reply was about 9.3 hours, measured only among contacts who replied.

16 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Field marketing leaders and B2B event decision-makers.

Make one offer easy to understand: Event lead capture and pipeline management software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Event lead capture and pipeline management software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 37 contacts replied from 102 reached: in-house dental membership plans LinkedIn case study
URL: https://sbl.so/case-study/linkedin-in-house-dental-membership-plans-linkedin-case-study-cs242/
Industry: Healthcare & Wellness
Channel: LinkedIn

An anonymized LinkedIn campaign offering In-house dental membership plans to Small business employers in the Dallas suburbs. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 37 Contacts who replied (14 days)
- 102 Contacts reached
- 36.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small business employers in the Dallas suburbs.
2. Make one offer easy to understand: In-house dental membership plans.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
37 of 102 contacts replied within 14 days — a 36.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around In-house dental membership plans. Its intended audience was Small business employers in the Dallas suburbs.

The useful message-design angle is Offer a one-page explanation before a benefits discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

102 contact records were reached through qualifying delivered or read outreach.

37 contacts replied within 14 days, equivalent to 36.3% of the measured cohort.

The cohort contained 136 outbound messages and 52 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 37 responding contacts, 26 replied within 24 hours and 37 within seven days. The median time to a first reply was about 3.6 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Small business employers in the Dallas suburbs.

Make one offer easy to understand: In-house dental membership plans.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: In-house dental membership plans. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 21 contacts replied from 81 reached: strategic advisory and professional partnerships LinkedIn case study
URL: https://sbl.so/case-study/linkedin-strategic-advisory-and-professional-partnerships-linkedin-case-study-cs243/
Industry: Finance & Insurance
Channel: LinkedIn

An anonymized LinkedIn campaign offering Strategic advisory and professional partnerships to Senior banking insurance and financial services leaders in Mumbai. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 21 Contacts who replied (14 days)
- 81 Contacts reached
- 25.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Senior banking insurance and financial services leaders in Mumbai.
2. Make one offer easy to understand: Strategic advisory and professional partnerships.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
21 of 81 contacts replied within 14 days — a 25.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Strategic advisory and professional partnerships. Its intended audience was Senior banking insurance and financial services leaders in Mumbai.

The useful message-design angle is Exchange perspectives before exploring advisory or board opportunities. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 20 June 2026 to 3 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

81 contact records were reached through qualifying delivered or read outreach.

21 contacts replied within 14 days, equivalent to 25.9% of the measured cohort.

The cohort contained 261 outbound messages and 45 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 21 responding contacts, 19 replied within 24 hours and 21 within seven days. The median time to a first reply was about 2.1 hours, measured only among contacts who replied.

67 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Senior banking insurance and financial services leaders in Mumbai.

Make one offer easy to understand: Strategic advisory and professional partnerships.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Strategic advisory and professional partnerships. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 55 contacts replied from 206 reached: custom web e-commerce and marketing services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-custom-web-e-commerce-and-marketing-services-linkedin-case-study-cs244/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Custom web e-commerce and marketing services to Owners and decision-makers across retail clinics education finance and manufacturing. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 55 Contacts who replied (14 days)
- 206 Contacts reached
- 26.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Owners and decision-makers across retail clinics education finance and manufacturing.
2. Make one offer easy to understand: Custom web e-commerce and marketing services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
55 of 206 contacts replied within 14 days — a 26.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Custom web e-commerce and marketing services. Its intended audience was Owners and decision-makers across retail clinics education finance and manufacturing.

The useful message-design angle is Explain a cross-sector service approach while exploring marketing inefficiencies. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 23 June 2026 to 28 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

206 contact records were reached through qualifying delivered or read outreach.

55 contacts replied within 14 days, equivalent to 26.7% of the measured cohort.

The cohort contained 611 outbound messages and 111 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 55 responding contacts, 26 replied within 24 hours and 52 within seven days. The median time to a first reply was about 24.6 hours, measured only among contacts who replied.

176 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Owners and decision-makers across retail clinics education finance and manufacturing.

Make one offer easy to understand: Custom web e-commerce and marketing services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Custom web e-commerce and marketing services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 22 contacts replied from 123 reached: search visibility consulting for immigration practices LinkedIn case study
URL: https://sbl.so/case-study/linkedin-search-visibility-consulting-for-immigration-practices-linkedin-case-study-cs245/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Search visibility consulting for immigration practices to Immigration lawyers in the UK and US. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 22 Contacts who replied (14 days)
- 123 Contacts reached
- 17.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Immigration lawyers in the UK and US.
2. Make one offer easy to understand: Search visibility consulting for immigration practices.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
22 of 123 contacts replied within 14 days — a 17.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Search visibility consulting for immigration practices. Its intended audience was Immigration lawyers in the UK and US.

The useful message-design angle is Use a firm's current search presence as the starting point. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 June 2026 to 8 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

123 contact records were reached through qualifying delivered or read outreach.

22 contacts replied within 14 days, equivalent to 17.9% of the measured cohort.

The cohort contained 447 outbound messages and 28 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 22 responding contacts, 6 replied within 24 hours and 20 within seven days. The median time to a first reply was 3.0 days, measured only among contacts who replied.

112 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Immigration lawyers in the UK and US.

Make one offer easy to understand: Search visibility consulting for immigration practices.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Search visibility consulting for immigration practices. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 91 contacts replied from 232 reached: a managed linkedin outreach system trial LinkedIn case study
URL: https://sbl.so/case-study/linkedin-a-managed-linkedin-outreach-system-trial-linkedin-case-study-cs246/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering A managed LinkedIn outreach system trial to US founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 91 Contacts who replied (14 days)
- 232 Contacts reached
- 39.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US founders.
2. Make one offer easy to understand: A managed LinkedIn outreach system trial.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
91 of 232 contacts replied within 14 days — a 39.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around A managed LinkedIn outreach system trial. Its intended audience was US founders.

The useful message-design angle is Make a trial and onboarding support the invitation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 25 June 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

232 contact records were reached through qualifying delivered or read outreach.

91 contacts replied within 14 days, equivalent to 39.2% of the measured cohort.

The cohort contained 707 outbound messages and 180 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 91 responding contacts, 49 replied within 24 hours and 88 within seven days. The median time to a first reply was about 14.3 hours, measured only among contacts who replied.

169 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US founders.

Make one offer easy to understand: A managed LinkedIn outreach system trial.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: A managed LinkedIn outreach system trial. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 72 contacts replied from 289 reached: chartered accounting tax audit and compliance services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-chartered-accounting-tax-audit-and-compliance-services-linkedin-case-study-cs247/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Chartered accounting tax audit and compliance services to Small-company founders in Hyderabad Bengaluru and Chennai. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 72 Contacts who replied (14 days)
- 289 Contacts reached
- 24.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small-company founders in Hyderabad Bengaluru and Chennai.
2. Make one offer easy to understand: Chartered accounting tax audit and compliance services.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
72 of 289 contacts replied within 14 days — a 24.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Chartered accounting tax audit and compliance services. Its intended audience was Small-company founders in Hyderabad Bengaluru and Chennai.

The useful message-design angle is Ask about the founder's current accounting approach. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 July 2026 to 18 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

289 contact records were reached through qualifying delivered or read outreach.

72 contacts replied within 14 days, equivalent to 24.9% of the measured cohort.

The cohort contained 806 outbound messages and 147 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 72 responding contacts, 28 replied within 24 hours and 67 within seven days. The median time to a first reply was about 26.7 hours, measured only among contacts who replied.

134 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Small-company founders in Hyderabad Bengaluru and Chennai.

Make one offer easy to understand: Chartered accounting tax audit and compliance services.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Chartered accounting tax audit and compliance services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 237 contacts replied from 373 reached: affiliate network partnerships and lead buying LinkedIn case study
URL: https://sbl.so/case-study/linkedin-affiliate-network-partnerships-and-lead-buying-linkedin-case-study-cs248/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Affiliate network partnerships and lead buying to Inbound affiliate and advertiser prospects. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 237 Contacts who replied (14 days)
- 373 Contacts reached
- 63.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Inbound affiliate and advertiser prospects.
2. Make one offer easy to understand: Affiliate network partnerships and lead buying.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
237 of 373 contacts replied within 14 days — a 63.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Affiliate network partnerships and lead buying. Its intended audience was Inbound affiliate and advertiser prospects.

The useful message-design angle is Identify the enquirer's role before sharing relevant offers. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 June 2026 to 8 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

373 contact records were reached through qualifying delivered or read outreach.

237 contacts replied within 14 days, equivalent to 63.5% of the measured cohort.

The cohort contained 1,452 outbound messages and 1,189 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 237 responding contacts, 156 replied within 24 hours and 232 within seven days. The median time to a first reply was about 9.8 hours, measured only among contacts who replied.

203 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Inbound affiliate and advertiser prospects.

Make one offer easy to understand: Affiliate network partnerships and lead buying.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Affiliate network partnerships and lead buying. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 146 contacts replied from 223 reached: affiliate and performance marketing partnerships LinkedIn case study
URL: https://sbl.so/case-study/linkedin-affiliate-and-performance-marketing-partnerships-linkedin-case-study-cs249/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Affiliate and performance marketing partnerships to Connected affiliates media buyers and call operators. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 146 Contacts who replied (14 days)
- 223 Contacts reached
- 65.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Connected affiliates media buyers and call operators.
2. Make one offer easy to understand: Affiliate and performance marketing partnerships.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
146 of 223 contacts replied within 14 days — a 65.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Affiliate and performance marketing partnerships. Its intended audience was Connected affiliates media buyers and call operators.

The useful message-design angle is Acknowledge a stalled conversation and ask what the prospect is focused on. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 2 July 2026 to 14 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

223 contact records were reached through qualifying delivered or read outreach.

146 contacts replied within 14 days, equivalent to 65.5% of the measured cohort.

The cohort contained 673 outbound messages and 621 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 146 responding contacts, 107 replied within 24 hours and 141 within seven days. The median time to a first reply was about 2.8 hours, measured only among contacts who replied.

114 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Connected affiliates media buyers and call operators.

Make one offer easy to understand: Affiliate and performance marketing partnerships.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Affiliate and performance marketing partnerships. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 27 contacts replied from 151 reached: sales communication diagnostics and coaching LinkedIn case study
URL: https://sbl.so/case-study/linkedin-sales-communication-diagnostics-and-coaching-linkedin-case-study-cs250/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Sales communication diagnostics and coaching to French-speaking coaches consultants and independent trainers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 27 Contacts who replied (14 days)
- 151 Contacts reached
- 17.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: French-speaking coaches consultants and independent trainers.
2. Make one offer easy to understand: Sales communication diagnostics and coaching.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
27 of 151 contacts replied within 14 days — a 17.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Sales communication diagnostics and coaching. Its intended audience was French-speaking coaches consultants and independent trainers.

The useful message-design angle is Ask about objections and sales psychology before offering a diagnostic. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 July 2026 to 24 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

151 contact records were reached through qualifying delivered or read outreach.

27 contacts replied within 14 days, equivalent to 17.9% of the measured cohort.

The cohort contained 356 outbound messages and 68 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 27 responding contacts, 12 replied within 24 hours and 26 within seven days. The median time to a first reply was about 25.3 hours, measured only among contacts who replied.

57 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: French-speaking coaches consultants and independent trainers.

Make one offer easy to understand: Sales communication diagnostics and coaching.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Sales communication diagnostics and coaching. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 11 contacts replied from 53 reached: client acquisition systems and diagnostic consultations LinkedIn case study
URL: https://sbl.so/case-study/linkedin-client-acquisition-systems-and-diagnostic-consultations-linkedin-case-study-cs251/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Client acquisition systems and diagnostic consultations to Arabic-speaking coaches trainers and consultants. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 11 Contacts who replied (14 days)
- 53 Contacts reached
- 20.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Arabic-speaking coaches trainers and consultants.
2. Make one offer easy to understand: Client acquisition systems and diagnostic consultations.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
11 of 53 contacts replied within 14 days — a 20.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Client acquisition systems and diagnostic consultations. Its intended audience was Arabic-speaking coaches trainers and consultants.

The useful message-design angle is Recognize the prospect's expertise before discussing a repeatable client system. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 July 2026 to 27 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

53 contact records were reached through qualifying delivered or read outreach.

11 contacts replied within 14 days, equivalent to 20.8% of the measured cohort.

The cohort contained 170 outbound messages and 25 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 11 responding contacts, 3 replied within 24 hours and 11 within seven days. The median time to a first reply was about 32.1 hours, measured only among contacts who replied.

50 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Arabic-speaking coaches trainers and consultants.

Make one offer easy to understand: Client acquisition systems and diagnostic consultations.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Client acquisition systems and diagnostic consultations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 14 contacts replied from 70 reached: ai-enabled lead nurturing and appointment workflows LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-enabled-lead-nurturing-and-appointment-workflows-linkedin-case-study-cs252/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-enabled lead nurturing and appointment workflows to Coaches seeking qualified strategy conversations. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 14 Contacts who replied (14 days)
- 70 Contacts reached
- 20.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Coaches seeking qualified strategy conversations.
2. Make one offer easy to understand: AI-enabled lead nurturing and appointment workflows.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
14 of 70 contacts replied within 14 days — a 20.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-enabled lead nurturing and appointment workflows. Its intended audience was Coaches seeking qualified strategy conversations.

The useful message-design angle is Frame the conversation around the coach's acquisition bottleneck. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 July 2026 to 3 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

70 contact records were reached through qualifying delivered or read outreach.

14 contacts replied within 14 days, equivalent to 20.0% of the measured cohort.

The cohort contained 346 outbound messages and 24 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 14 responding contacts, 9 replied within 24 hours and 14 within seven days. The median time to a first reply was about 8.9 hours, measured only among contacts who replied.

61 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Coaches seeking qualified strategy conversations.

Make one offer easy to understand: AI-enabled lead nurturing and appointment workflows.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-enabled lead nurturing and appointment workflows. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 30 contacts replied from 56 reached: ai sales agents and local search visibility services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-sales-agents-and-local-search-visibility-services-linkedin-case-study-cs253/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI sales agents and local search visibility services to US local service business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 30 Contacts who replied (14 days)
- 56 Contacts reached
- 53.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US local service business owners.
2. Make one offer easy to understand: AI sales agents and local search visibility services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
30 of 56 contacts replied within 14 days — a 53.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI sales agents and local search visibility services. Its intended audience was US local service business owners.

The useful message-design angle is Link discoverability with the handling of incoming sales conversations. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

56 contact records were reached through qualifying delivered or read outreach.

30 contacts replied within 14 days, equivalent to 53.6% of the measured cohort.

The cohort contained 179 outbound messages and 52 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 30 responding contacts, 16 replied within 24 hours and 28 within seven days. The median time to a first reply was about 13.1 hours, measured only among contacts who replied.

39 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US local service business owners.

Make one offer easy to understand: AI sales agents and local search visibility services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI sales agents and local search visibility services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 21 contacts replied from 100 reached: demand generation and full-funnel marketing services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-demand-generation-and-full-funnel-marketing-services-linkedin-case-study-cs254/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Demand generation and full-funnel marketing services to European SaaS founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 21 Contacts who replied (14 days)
- 100 Contacts reached
- 21.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: European SaaS founders.
2. Make one offer easy to understand: Demand generation and full-funnel marketing services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
21 of 100 contacts replied within 14 days — a 21.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Demand generation and full-funnel marketing services. Its intended audience was European SaaS founders.

The useful message-design angle is Explore both acquisition and retention instead of a single-channel pitch. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 September 2026 to 16 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

100 contact records were reached through qualifying delivered or read outreach.

21 contacts replied within 14 days, equivalent to 21.0% of the measured cohort.

The cohort contained 178 outbound messages and 32 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 21 responding contacts, 10 replied within 24 hours and 19 within seven days. The median time to a first reply was 3.0 days, measured only among contacts who replied.

57 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: European SaaS founders.

Make one offer easy to understand: Demand generation and full-funnel marketing services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Demand generation and full-funnel marketing services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 14 contacts replied from 60 reached: fractional marketing leadership LinkedIn case study
URL: https://sbl.so/case-study/linkedin-fractional-marketing-leadership-linkedin-case-study-cs255/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Fractional marketing leadership to B2B software and property technology founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 14 Contacts who replied (14 days)
- 60 Contacts reached
- 23.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: B2B software and property technology founders.
2. Make one offer easy to understand: Fractional marketing leadership.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
14 of 60 contacts replied within 14 days — a 23.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Fractional marketing leadership. Its intended audience was B2B software and property technology founders.

The useful message-design angle is Use initial marketing focus points to earn a strategy conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 11 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

60 contact records were reached through qualifying delivered or read outreach.

14 contacts replied within 14 days, equivalent to 23.3% of the measured cohort.

The cohort contained 62 outbound messages and 14 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 14 responding contacts, 11 replied within 24 hours and 13 within seven days. The median time to a first reply was about 4.0 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: B2B software and property technology founders.

Make one offer easy to understand: Fractional marketing leadership.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Fractional marketing leadership. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 38 contacts replied from 218 reached: website messaging audits LinkedIn case study
URL: https://sbl.so/case-study/linkedin-website-messaging-audits-linkedin-case-study-cs256/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Website messaging audits to Business owners founders and CEOs. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 38 Contacts who replied (14 days)
- 218 Contacts reached
- 17.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business owners founders and CEOs.
2. Make one offer easy to understand: Website messaging audits.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
38 of 218 contacts replied within 14 days — a 17.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Website messaging audits. Its intended audience was Business owners founders and CEOs.

The useful message-design angle is Make a website review the concrete reason to reopen a connection. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 7 September 2026 to 18 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

218 contact records were reached through qualifying delivered or read outreach.

38 contacts replied within 14 days, equivalent to 17.4% of the measured cohort.

The cohort contained 373 outbound messages and 83 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 38 responding contacts, 16 replied within 24 hours and 35 within seven days. The median time to a first reply was about 34.8 hours, measured only among contacts who replied.

49 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Business owners founders and CEOs.

Make one offer easy to understand: Website messaging audits.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Website messaging audits. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 15 contacts replied from 83 reached: ai-generated user-style video advertising software LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-generated-user-style-video-advertising-software-linkedin-case-study-cs257/
Industry: Software, SaaS & AI
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-generated user-style video advertising software to Indian marketing agencies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 15 Contacts who replied (14 days)
- 83 Contacts reached
- 18.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Indian marketing agencies.
2. Make one offer easy to understand: AI-generated user-style video advertising software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
15 of 83 contacts replied within 14 days — a 18.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-generated user-style video advertising software. Its intended audience was Indian marketing agencies.

The useful message-design angle is Use a creative workflow challenge as an invitation to try the software. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 September 2026 to 18 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

83 contact records were reached through qualifying delivered or read outreach.

15 contacts replied within 14 days, equivalent to 18.1% of the measured cohort.

The cohort contained 211 outbound messages and 23 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 15 responding contacts, 11 replied within 24 hours and 14 within seven days. The median time to a first reply was about 26 minutes, measured only among contacts who replied.

68 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Indian marketing agencies.

Make one offer easy to understand: AI-generated user-style video advertising software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-generated user-style video advertising software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 41 contacts replied from 162 reached: immersive brand experiences and narrative-led creative services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-immersive-brand-experiences-and-narrative-led-creative-services-linkedin-case-study-cs258/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Immersive brand experiences and narrative-led creative services to Consumer brand marketing and growth leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 41 Contacts who replied (14 days)
- 162 Contacts reached
- 25.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Consumer brand marketing and growth leaders.
2. Make one offer easy to understand: Immersive brand experiences and narrative-led creative services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
41 of 162 contacts replied within 14 days — a 25.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Immersive brand experiences and narrative-led creative services. Its intended audience was Consumer brand marketing and growth leaders.

The useful message-design angle is Ask about current priorities before discussing a brand experience concept. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 16 September 2026 to 26 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

162 contact records were reached through qualifying delivered or read outreach.

41 contacts replied within 14 days, equivalent to 25.3% of the measured cohort.

The cohort contained 405 outbound messages and 108 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 41 responding contacts, 15 replied within 24 hours and 21 within seven days. The median time to a first reply was 4.2 days, measured only among contacts who replied.

141 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Consumer brand marketing and growth leaders.

Make one offer easy to understand: Immersive brand experiences and narrative-led creative services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Immersive brand experiences and narrative-led creative services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 21 contacts replied from 113 reached: product lifecycle management optimization consulting LinkedIn case study
URL: https://sbl.so/case-study/linkedin-product-lifecycle-management-optimization-consulting-linkedin-case-study-cs259/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Product lifecycle management optimization consulting to US automotive engineering IT and product development leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 21 Contacts who replied (14 days)
- 113 Contacts reached
- 18.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US automotive engineering IT and product development leaders.
2. Make one offer easy to understand: Product lifecycle management optimization consulting.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
21 of 113 contacts replied within 14 days — a 18.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Product lifecycle management optimization consulting. Its intended audience was US automotive engineering IT and product development leaders.

The useful message-design angle is Start with operational challenges rather than an immediate software pitch. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

113 contact records were reached through qualifying delivered or read outreach.

21 contacts replied within 14 days, equivalent to 18.6% of the measured cohort.

The cohort contained 115 outbound messages and 22 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 21 responding contacts, 15 replied within 24 hours and 20 within seven days. The median time to a first reply was about 13.3 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US automotive engineering IT and product development leaders.

Make one offer easy to understand: Product lifecycle management optimization consulting.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Product lifecycle management optimization consulting. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 90 contacts replied from 270 reached: social media content strategy services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-social-media-content-strategy-services-linkedin-case-study-cs260/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Social media content strategy services to Business decision-makers and subject-matter experts. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 90 Contacts who replied (14 days)
- 270 Contacts reached
- 33.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business decision-makers and subject-matter experts.
2. Make one offer easy to understand: Social media content strategy services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
90 of 270 contacts replied within 14 days — a 33.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Social media content strategy services. Its intended audience was Business decision-makers and subject-matter experts.

The useful message-design angle is Offer a tailored content plan and a simple permission-based reply. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 June 2026 to 25 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

270 contact records were reached through qualifying delivered or read outreach.

90 contacts replied within 14 days, equivalent to 33.3% of the measured cohort.

The cohort contained 684 outbound messages and 168 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 90 responding contacts, 36 replied within 24 hours and 81 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

220 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Business decision-makers and subject-matter experts.

Make one offer easy to understand: Social media content strategy services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Social media content strategy services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 36 contacts replied from 100 reached: social media personal branding for physicians LinkedIn case study
URL: https://sbl.so/case-study/linkedin-social-media-personal-branding-for-physicians-linkedin-case-study-cs261/
Industry: Healthcare & Wellness
Channel: LinkedIn

An anonymized LinkedIn campaign offering Social media personal branding for physicians to Medical doctors. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 36 Contacts who replied (14 days)
- 100 Contacts reached
- 36.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Medical doctors.
2. Make one offer easy to understand: Social media personal branding for physicians.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
36 of 100 contacts replied within 14 days — a 36.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Social media personal branding for physicians. Its intended audience was Medical doctors.

The useful message-design angle is Use concrete content ideas before discussing a branding collaboration. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 8 September 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

100 contact records were reached through qualifying delivered or read outreach.

36 contacts replied within 14 days, equivalent to 36.0% of the measured cohort.

The cohort contained 279 outbound messages and 48 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 36 responding contacts, 18 replied within 24 hours and 31 within seven days. The median time to a first reply was about 28.4 hours, measured only among contacts who replied.

81 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Medical doctors.

Make one offer easy to understand: Social media personal branding for physicians.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Social media personal branding for physicians. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 25 contacts replied from 80 reached: cinematic product demo videos LinkedIn case study
URL: https://sbl.so/case-study/linkedin-cinematic-product-demo-videos-linkedin-case-study-cs262/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Cinematic product demo videos to Recently launched AI and SaaS founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 25 Contacts who replied (14 days)
- 80 Contacts reached
- 31.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Recently launched AI and SaaS founders.
2. Make one offer easy to understand: Cinematic product demo videos.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
25 of 80 contacts replied within 14 days — a 31.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Cinematic product demo videos. Its intended audience was Recently launched AI and SaaS founders.

The useful message-design angle is Ask where new visitors struggle to understand the product before offering a film. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 August 2026 to 18 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

80 contact records were reached through qualifying delivered or read outreach.

25 contacts replied within 14 days, equivalent to 31.3% of the measured cohort.

The cohort contained 245 outbound messages and 61 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 25 responding contacts, 19 replied within 24 hours and 24 within seven days. The median time to a first reply was about 4.0 hours, measured only among contacts who replied.

60 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Recently launched AI and SaaS founders.

Make one offer easy to understand: Cinematic product demo videos.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Cinematic product demo videos. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 23 contacts replied from 100 reached: relationship coaching and a free relationship quiz LinkedIn case study
URL: https://sbl.so/case-study/linkedin-relationship-coaching-and-a-free-relationship-quiz-linkedin-case-study-cs263/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Relationship coaching and a free relationship quiz to Midlife professionals and business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 23 Contacts who replied (14 days)
- 100 Contacts reached
- 23.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Midlife professionals and business owners.
2. Make one offer easy to understand: Relationship coaching and a free relationship quiz.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
23 of 100 contacts replied within 14 days — a 23.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Relationship coaching and a free relationship quiz. Its intended audience was Midlife professionals and business owners.

The useful message-design angle is Use an optional self-assessment before a coaching call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 4 June 2026 to 11 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

100 contact records were reached through qualifying delivered or read outreach.

23 contacts replied within 14 days, equivalent to 23.0% of the measured cohort.

The cohort contained 148 outbound messages and 40 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 23 responding contacts, 12 replied within 24 hours and 21 within seven days. The median time to a first reply was about 15.2 hours, measured only among contacts who replied.

27 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Midlife professionals and business owners.

Make one offer easy to understand: Relationship coaching and a free relationship quiz.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Relationship coaching and a free relationship quiz. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 19 contacts replied from 94 reached: sustainable business leadership education LinkedIn case study
URL: https://sbl.so/case-study/linkedin-sustainable-business-leadership-education-linkedin-case-study-cs264/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Sustainable business leadership education to Former directors and senior professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 19 Contacts who replied (14 days)
- 94 Contacts reached
- 20.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Former directors and senior professionals.
2. Make one offer easy to understand: Sustainable business leadership education.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
19 of 94 contacts replied within 14 days — a 20.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Sustainable business leadership education. Its intended audience was Former directors and senior professionals.

The useful message-design angle is Open a professional network conversation before discussing the learning pathway. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 August 2026 to 23 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

94 contact records were reached through qualifying delivered or read outreach.

19 contacts replied within 14 days, equivalent to 20.2% of the measured cohort.

The cohort contained 196 outbound messages and 29 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 19 responding contacts, 15 replied within 24 hours and 18 within seven days. The median time to a first reply was about 3.3 hours, measured only among contacts who replied.

82 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Former directors and senior professionals.

Make one offer easy to understand: Sustainable business leadership education.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Sustainable business leadership education. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 19 contacts replied from 121 reached: partnerships supporting free education child care and skills development LinkedIn case study
URL: https://sbl.so/case-study/linkedin-partnerships-supporting-free-education-child-care-and-skills-development-linkedin-case-cs265/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering Partnerships supporting free education child care and skills development to CSR ESG and community impact leaders near Gurgaon. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 19 Contacts who replied (14 days)
- 121 Contacts reached
- 15.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: CSR ESG and community impact leaders near Gurgaon.
2. Make one offer easy to understand: Partnerships supporting free education child care and skills development.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
19 of 121 contacts replied within 14 days — a 15.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Partnerships supporting free education child care and skills development. Its intended audience was CSR ESG and community impact leaders near Gurgaon.

The useful message-design angle is Tie a partnership invitation to specific community programs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 July 2026 to 11 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

121 contact records were reached through qualifying delivered or read outreach.

19 contacts replied within 14 days, equivalent to 15.7% of the measured cohort.

The cohort contained 135 outbound messages and 33 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 19 responding contacts, 13 replied within 24 hours and 19 within seven days. The median time to a first reply was about 10.2 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: CSR ESG and community impact leaders near Gurgaon.

Make one offer easy to understand: Partnerships supporting free education child care and skills development.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Partnerships supporting free education child care and skills development. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 147 contacts replied from 536 reached: operations audits and administrative support LinkedIn case study
URL: https://sbl.so/case-study/linkedin-operations-audits-and-administrative-support-linkedin-case-study-cs266/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Operations audits and administrative support to Small business owners managing heavy operational workloads. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 147 Contacts who replied (14 days)
- 536 Contacts reached
- 27.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Small business owners managing heavy operational workloads.
2. Make one offer easy to understand: Operations audits and administrative support.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
147 of 536 contacts replied within 14 days — a 27.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Operations audits and administrative support. Its intended audience was Small business owners managing heavy operational workloads.

The useful message-design angle is Ask about day-to-day pressures before proposing operational support. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 5 May 2026 to 25 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

536 contact records were reached through qualifying delivered or read outreach.

147 contacts replied within 14 days, equivalent to 27.4% of the measured cohort.

The cohort contained 1,327 outbound messages and 297 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 147 responding contacts, 87 replied within 24 hours and 132 within seven days. The median time to a first reply was about 12.3 hours, measured only among contacts who replied.

219 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Small business owners managing heavy operational workloads.

Make one offer easy to understand: Operations audits and administrative support.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Operations audits and administrative support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 480 contacts replied from 2,211 reached: open inside sales and sales development roles LinkedIn case study
URL: https://sbl.so/case-study/linkedin-open-inside-sales-and-sales-development-roles-linkedin-case-study-cs267/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Open inside sales and sales development roles to Sales development representatives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 480 Contacts who replied (14 days)
- 2,211 Contacts reached
- 21.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Sales development representatives.
2. Make one offer easy to understand: Open inside sales and sales development roles.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
480 of 2,211 contacts replied within 14 days — a 21.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Open inside sales and sales development roles. Its intended audience was Sales development representatives.

The useful message-design angle is Invite candidates to explore a relevant role rather than pitch agency services. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 26 June 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

2,211 contact records were reached through qualifying delivered or read outreach.

480 contacts replied within 14 days, equivalent to 21.7% of the measured cohort.

The cohort contained 4,500 outbound messages and 1,149 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 480 responding contacts, 360 replied within 24 hours and 463 within seven days. The median time to a first reply was about 10.5 hours, measured only among contacts who replied.

1,489 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Sales development representatives.

Make one offer easy to understand: Open inside sales and sales development roles.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Open inside sales and sales development roles. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 325 contacts replied from 1,575 reached: virtual assistance crm and daily business execution support LinkedIn case study
URL: https://sbl.so/case-study/linkedin-virtual-assistance-crm-and-daily-business-execution-support-linkedin-case-study-cs268/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Virtual assistance CRM and daily business execution support to Consultants trainers and coaching businesses in India. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 325 Contacts who replied (14 days)
- 1,575 Contacts reached
- 20.6% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Consultants trainers and coaching businesses in India.
2. Make one offer easy to understand: Virtual assistance CRM and daily business execution support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
325 of 1,575 contacts replied within 14 days — a 20.6% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Virtual assistance CRM and daily business execution support. Its intended audience was Consultants trainers and coaching businesses in India.

The useful message-design angle is Use a choice of enquiry content and follow-up bottlenecks to guide the next conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 20 July 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

1,575 contact records were reached through qualifying delivered or read outreach.

325 contacts replied within 14 days, equivalent to 20.6% of the measured cohort.

The cohort contained 4,157 outbound messages and 639 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 325 responding contacts, 150 replied within 24 hours and 290 within seven days. The median time to a first reply was about 25.9 hours, measured only among contacts who replied.

562 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Consultants trainers and coaching businesses in India.

Make one offer easy to understand: Virtual assistance CRM and daily business execution support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Virtual assistance CRM and daily business execution support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 56 contacts replied from 370 reached: pharmacy automation software hardware and collection lockers LinkedIn case study
URL: https://sbl.so/case-study/linkedin-pharmacy-automation-software-hardware-and-collection-lockers-linkedin-case-study-cs269/
Industry: Healthcare & Wellness
Channel: LinkedIn

An anonymized LinkedIn campaign offering Pharmacy automation software hardware and collection lockers to UK pharmacists. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 56 Contacts who replied (14 days)
- 370 Contacts reached
- 15.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK pharmacists.
2. Make one offer easy to understand: Pharmacy automation software hardware and collection lockers.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
56 of 370 contacts replied within 14 days — a 15.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Pharmacy automation software hardware and collection lockers. Its intended audience was UK pharmacists.

The useful message-design angle is Connect a product conversation with dispensing and pharmacy workflow needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 27 April 2026 to 18 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

370 contact records were reached through qualifying delivered or read outreach.

56 contacts replied within 14 days, equivalent to 15.1% of the measured cohort.

The cohort contained 1,122 outbound messages and 99 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 56 responding contacts, 22 replied within 24 hours and 56 within seven days. The median time to a first reply was about 24.7 hours, measured only among contacts who replied.

346 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: UK pharmacists.

Make one offer easy to understand: Pharmacy automation software hardware and collection lockers.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Pharmacy automation software hardware and collection lockers. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 30 contacts replied from 109 reached: an ai business learning event LinkedIn case study
URL: https://sbl.so/case-study/linkedin-an-ai-business-learning-event-linkedin-case-study-cs270/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering An AI business learning event to Business owners in Amsterdam. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 30 Contacts who replied (14 days)
- 109 Contacts reached
- 27.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business owners in Amsterdam.
2. Make one offer easy to understand: An AI business learning event.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
30 of 109 contacts replied within 14 days — a 27.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around An AI business learning event. Its intended audience was Business owners in Amsterdam.

The useful message-design angle is Use a locally relevant event invitation as the reason to connect. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 7 July 2026 to 4 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

109 contact records were reached through qualifying delivered or read outreach.

30 contacts replied within 14 days, equivalent to 27.5% of the measured cohort.

The cohort contained 218 outbound messages and 62 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 30 responding contacts, 14 replied within 24 hours and 27 within seven days. The median time to a first reply was about 24.1 hours, measured only among contacts who replied.

76 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Business owners in Amsterdam.

Make one offer easy to understand: An AI business learning event.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: An AI business learning event. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 14 contacts replied from 80 reached: career identity and value articulation coaching LinkedIn case study
URL: https://sbl.so/case-study/linkedin-career-identity-and-value-articulation-coaching-linkedin-case-study-cs271/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Career identity and value articulation coaching to Corporate professionals considering career advancement. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 14 Contacts who replied (14 days)
- 80 Contacts reached
- 17.5% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Corporate professionals considering career advancement.
2. Make one offer easy to understand: Career identity and value articulation coaching.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
14 of 80 contacts replied within 14 days — a 17.5% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Career identity and value articulation coaching. Its intended audience was Corporate professionals considering career advancement.

The useful message-design angle is Reconnect around professional direction before offering a discovery call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 6 May 2026 to 11 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

80 contact records were reached through qualifying delivered or read outreach.

14 contacts replied within 14 days, equivalent to 17.5% of the measured cohort.

The cohort contained 81 outbound messages and 14 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 14 responding contacts, 8 replied within 24 hours and 13 within seven days. The median time to a first reply was about 17.4 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Corporate professionals considering career advancement.

Make one offer easy to understand: Career identity and value articulation coaching.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Career identity and value articulation coaching. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 16 contacts replied from 98 reached: leadership and executive coaching LinkedIn case study
URL: https://sbl.so/case-study/linkedin-leadership-and-executive-coaching-linkedin-case-study-cs272/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Leadership and executive coaching to Australian HR professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 16 Contacts who replied (14 days)
- 98 Contacts reached
- 16.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Australian HR professionals.
2. Make one offer easy to understand: Leadership and executive coaching.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
16 of 98 contacts replied within 14 days — a 16.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Leadership and executive coaching. Its intended audience was Australian HR professionals.

The useful message-design angle is Recognize an existing follower relationship before exploring leadership needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 May 2026 to 20 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

98 contact records were reached through qualifying delivered or read outreach.

16 contacts replied within 14 days, equivalent to 16.3% of the measured cohort.

The cohort contained 215 outbound messages and 22 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 16 responding contacts, 6 replied within 24 hours and 16 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

56 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Australian HR professionals.

Make one offer easy to understand: Leadership and executive coaching.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Leadership and executive coaching. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 51 contacts replied from 204 reached: executive career and leadership development LinkedIn case study
URL: https://sbl.so/case-study/linkedin-executive-career-and-leadership-development-linkedin-case-study-cs273/
Industry: Coaching & Consulting
Channel: LinkedIn

An anonymized LinkedIn campaign offering Executive career and leadership development to Portuguese-speaking professionals and executives. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 51 Contacts who replied (14 days)
- 204 Contacts reached
- 25.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Portuguese-speaking professionals and executives.
2. Make one offer easy to understand: Executive career and leadership development.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
51 of 204 contacts replied within 14 days — a 25.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Executive career and leadership development. Its intended audience was Portuguese-speaking professionals and executives.

The useful message-design angle is Move from an accepted connection toward a relevant career conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 21 July 2026 to 27 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

204 contact records were reached through qualifying delivered or read outreach.

51 contacts replied within 14 days, equivalent to 25.0% of the measured cohort.

The cohort contained 204 outbound messages and 61 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 51 responding contacts, 30 replied within 24 hours and 50 within seven days. The median time to a first reply was about 7.8 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Portuguese-speaking professionals and executives.

Make one offer easy to understand: Executive career and leadership development.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Executive career and leadership development. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 38 contacts replied from 132 reached: ai usage assessments and practical business training LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-usage-assessments-and-practical-business-training-linkedin-case-study-cs274/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI usage assessments and practical business training to UK business owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 38 Contacts who replied (14 days)
- 132 Contacts reached
- 28.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK business owners.
2. Make one offer easy to understand: AI usage assessments and practical business training.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
38 of 132 contacts replied within 14 days — a 28.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI usage assessments and practical business training. Its intended audience was UK business owners.

The useful message-design angle is Use a scorecard to identify training needs before proposing a course. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 June 2026 to 26 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

132 contact records were reached through qualifying delivered or read outreach.

38 contacts replied within 14 days, equivalent to 28.8% of the measured cohort.

The cohort contained 351 outbound messages and 112 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 38 responding contacts, 23 replied within 24 hours and 36 within seven days. The median time to a first reply was about 13.7 hours, measured only among contacts who replied.

65 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: UK business owners.

Make one offer easy to understand: AI usage assessments and practical business training.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI usage assessments and practical business training. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 64 contacts replied from 223 reached: practical ai workflow training LinkedIn case study
URL: https://sbl.so/case-study/linkedin-practical-ai-workflow-training-linkedin-case-study-cs275/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Practical AI workflow training to UK agency owners. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 64 Contacts who replied (14 days)
- 223 Contacts reached
- 28.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK agency owners.
2. Make one offer easy to understand: Practical AI workflow training.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
64 of 223 contacts replied within 14 days — a 28.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Practical AI workflow training. Its intended audience was UK agency owners.

The useful message-design angle is Make a working business workflow the course discussion topic. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 June 2026 to 10 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

223 contact records were reached through qualifying delivered or read outreach.

64 contacts replied within 14 days, equivalent to 28.7% of the measured cohort.

The cohort contained 632 outbound messages and 94 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 64 responding contacts, 31 replied within 24 hours and 55 within seven days. The median time to a first reply was 2.1 days, measured only among contacts who replied.

183 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: UK agency owners.

Make one offer easy to understand: Practical AI workflow training.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Practical AI workflow training. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 120 contacts replied from 460 reached: vocational health and safety qualifications LinkedIn case study
URL: https://sbl.so/case-study/linkedin-vocational-health-and-safety-qualifications-linkedin-case-study-cs276/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Vocational health and safety qualifications to UK health and safety professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 120 Contacts who replied (14 days)
- 460 Contacts reached
- 26.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: UK health and safety professionals.
2. Make one offer easy to understand: Vocational health and safety qualifications.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
120 of 460 contacts replied within 14 days — a 26.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Vocational health and safety qualifications. Its intended audience was UK health and safety professionals.

The useful message-design angle is Offer advice about qualification routes before discussing enrolment. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 June 2026 to 20 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

460 contact records were reached through qualifying delivered or read outreach.

120 contacts replied within 14 days, equivalent to 26.1% of the measured cohort.

The cohort contained 688 outbound messages and 218 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 120 responding contacts, 70 replied within 24 hours and 115 within seven days. The median time to a first reply was about 11.1 hours, measured only among contacts who replied.

129 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: UK health and safety professionals.

Make one offer easy to understand: Vocational health and safety qualifications.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Vocational health and safety qualifications. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 24 contacts replied from 91 reached: real estate buyer lead generation and appointment qualification LinkedIn case study
URL: https://sbl.so/case-study/linkedin-real-estate-buyer-lead-generation-and-appointment-qualification-linkedin-case-study-cs277/
Industry: Property & Real Estate
Channel: LinkedIn

An anonymized LinkedIn campaign offering Real estate buyer lead generation and appointment qualification to Real estate builders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 24 Contacts who replied (14 days)
- 91 Contacts reached
- 26.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Real estate builders.
2. Make one offer easy to understand: Real estate buyer lead generation and appointment qualification.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
24 of 91 contacts replied within 14 days — a 26.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Real estate buyer lead generation and appointment qualification. Its intended audience was Real estate builders.

The useful message-design angle is Use a growth plan to explore buyer acquisition and qualification. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 12 June 2026 to 25 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

91 contact records were reached through qualifying delivered or read outreach.

24 contacts replied within 14 days, equivalent to 26.4% of the measured cohort.

The cohort contained 263 outbound messages and 47 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 24 responding contacts, 11 replied within 24 hours and 22 within seven days. The median time to a first reply was about 24.8 hours, measured only among contacts who replied.

80 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Real estate builders.

Make one offer easy to understand: Real estate buyer lead generation and appointment qualification.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Real estate buyer lead generation and appointment qualification. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 20 contacts replied from 60 reached: entrepreneur networking and exploratory coaching conversations LinkedIn case study
URL: https://sbl.so/case-study/linkedin-entrepreneur-networking-and-exploratory-coaching-conversations-linkedin-case-study-cs278/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering Entrepreneur networking and exploratory coaching conversations to Entrepreneurs creators and digital nomads. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 20 Contacts who replied (14 days)
- 60 Contacts reached
- 33.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Entrepreneurs creators and digital nomads.
2. Make one offer easy to understand: Entrepreneur networking and exploratory coaching conversations.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
20 of 60 contacts replied within 14 days — a 33.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Entrepreneur networking and exploratory coaching conversations. Its intended audience was Entrepreneurs creators and digital nomads.

The useful message-design angle is Build a peer relationship before assuming a coaching need. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 June 2026 to 12 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

60 contact records were reached through qualifying delivered or read outreach.

20 contacts replied within 14 days, equivalent to 33.3% of the measured cohort.

The cohort contained 86 outbound messages and 55 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 20 responding contacts, 18 replied within 24 hours and 20 within seven days. The median time to a first reply was about 4.5 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Entrepreneurs creators and digital nomads.

Make one offer easy to understand: Entrepreneur networking and exploratory coaching conversations.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Entrepreneur networking and exploratory coaching conversations. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 28 contacts replied from 68 reached: an ai business membership community LinkedIn case study
URL: https://sbl.so/case-study/linkedin-an-ai-business-membership-community-linkedin-case-study-cs279/
Industry: Communities & Nonprofits
Channel: LinkedIn

An anonymized LinkedIn campaign offering An AI business membership community to Solo founders across India the Gulf Africa and Singapore. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 28 Contacts who replied (14 days)
- 68 Contacts reached
- 41.2% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Solo founders across India the Gulf Africa and Singapore.
2. Make one offer easy to understand: An AI business membership community.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
28 of 68 contacts replied within 14 days — a 41.2% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around An AI business membership community. Its intended audience was Solo founders across India the Gulf Africa and Singapore.

The useful message-design angle is Introduce a peer community through an existing connection. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 August 2026 to 18 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

68 contact records were reached through qualifying delivered or read outreach.

28 contacts replied within 14 days, equivalent to 41.2% of the measured cohort.

The cohort contained 92 outbound messages and 53 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 28 responding contacts, 20 replied within 24 hours and 27 within seven days. The median time to a first reply was about 1.7 hours, measured only among contacts who replied.

14 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Solo founders across India the Gulf Africa and Singapore.

Make one offer easy to understand: An AI business membership community.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: An AI business membership community. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 55 contacts replied from 124 reached: public relations services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-public-relations-services-linkedin-case-study-cs280/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Public relations services to AI and blockchain startup founders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 55 Contacts who replied (14 days)
- 124 Contacts reached
- 44.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: AI and blockchain startup founders.
2. Make one offer easy to understand: Public relations services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
55 of 124 contacts replied within 14 days — a 44.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Public relations services. Its intended audience was AI and blockchain startup founders.

The useful message-design angle is Explore media visibility needs before a PR discovery call. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 30 July 2026 to 2 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

124 contact records were reached through qualifying delivered or read outreach.

55 contacts replied within 14 days, equivalent to 44.4% of the measured cohort.

The cohort contained 453 outbound messages and 132 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 55 responding contacts, 41 replied within 24 hours and 55 within seven days. The median time to a first reply was about 1.7 hours, measured only among contacts who replied.

72 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: AI and blockchain startup founders.

Make one offer easy to understand: Public relations services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Public relations services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 18 contacts replied from 71 reached: a practical ai guide review copy LinkedIn case study
URL: https://sbl.so/case-study/linkedin-a-practical-ai-guide-review-copy-linkedin-case-study-cs281/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering A practical AI guide review copy to Professionals interested in practical AI. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 18 Contacts who replied (14 days)
- 71 Contacts reached
- 25.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Professionals interested in practical AI.
2. Make one offer easy to understand: A practical AI guide review copy.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
18 of 71 contacts replied within 14 days — a 25.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around A practical AI guide review copy. Its intended audience was Professionals interested in practical AI.

The useful message-design angle is Ask for an optional honest review after offering useful learning material. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 19 August 2026 to 20 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

71 contact records were reached through qualifying delivered or read outreach.

18 contacts replied within 14 days, equivalent to 25.4% of the measured cohort.

The cohort contained 99 outbound messages and 38 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 18 responding contacts, 15 replied within 24 hours and 18 within seven days. The median time to a first reply was about 6.8 hours, measured only among contacts who replied.

0 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Professionals interested in practical AI.

Make one offer easy to understand: A practical AI guide review copy.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: A practical AI guide review copy. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 39 contacts replied from 144 reached: property investment education and consultation LinkedIn case study
URL: https://sbl.so/case-study/linkedin-property-investment-education-and-consultation-linkedin-case-study-cs282/
Industry: Property & Real Estate
Channel: LinkedIn

An anonymized LinkedIn campaign offering Property investment education and consultation to High-income Australian professionals. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 39 Contacts who replied (14 days)
- 144 Contacts reached
- 27.1% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: High-income Australian professionals.
2. Make one offer easy to understand: Property investment education and consultation.
3. Invite a short discussion of the specific problem before proposing an engagement.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
39 of 144 contacts replied within 14 days — a 27.1% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Property investment education and consultation. Its intended audience was High-income Australian professionals.

The useful message-design angle is Use a guide to open a discussion about investment plans. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 July 2026 to 28 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

144 contact records were reached through qualifying delivered or read outreach.

39 contacts replied within 14 days, equivalent to 27.1% of the measured cohort.

The cohort contained 293 outbound messages and 63 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 39 responding contacts, 22 replied within 24 hours and 39 within seven days. The median time to a first reply was about 6.0 hours, measured only among contacts who replied.

93 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: High-income Australian professionals.

Make one offer easy to understand: Property investment education and consultation.

Invite a short discussion of the specific problem before proposing an engagement.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Property investment education and consultation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 26 contacts replied from 120 reached: auction-based buying selling and scrap procurement services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-auction-based-buying-selling-and-scrap-procurement-services-linkedin-case-study-cs283/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Auction-based buying selling and scrap procurement services to Procurement leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 26 Contacts who replied (14 days)
- 120 Contacts reached
- 21.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Procurement leaders.
2. Make one offer easy to understand: Auction-based buying selling and scrap procurement services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
26 of 120 contacts replied within 14 days — a 21.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Auction-based buying selling and scrap procurement services. Its intended audience was Procurement leaders.

The useful message-design angle is Start with procurement requirements before introducing an auction platform. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 1 March 2026 to 28 March 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

120 contact records were reached through qualifying delivered or read outreach.

26 contacts replied within 14 days, equivalent to 21.7% of the measured cohort.

The cohort contained 142 outbound messages and 34 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 26 responding contacts, 16 replied within 24 hours and 24 within seven days. The median time to a first reply was about 13.7 hours, measured only among contacts who replied.

9 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Procurement leaders.

Make one offer easy to understand: Auction-based buying selling and scrap procurement services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Auction-based buying selling and scrap procurement services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 104 contacts replied from 209 reached: restaurant franchise ownership opportunities LinkedIn case study
URL: https://sbl.so/case-study/linkedin-restaurant-franchise-ownership-opportunities-linkedin-case-study-cs284/
Industry: Hospitality & Events
Channel: LinkedIn

An anonymized LinkedIn campaign offering Restaurant franchise ownership opportunities to Business owners and veterans in Hawaii. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 104 Contacts who replied (14 days)
- 209 Contacts reached
- 49.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Business owners and veterans in Hawaii.
2. Make one offer easy to understand: Restaurant franchise ownership opportunities.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
104 of 209 contacts replied within 14 days — a 49.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Restaurant franchise ownership opportunities. Its intended audience was Business owners and veterans in Hawaii.

The useful message-design angle is Explore interest in restaurant ownership without promising franchise performance. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 24 May 2026 to 2 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

209 contact records were reached through qualifying delivered or read outreach.

104 contacts replied within 14 days, equivalent to 49.8% of the measured cohort.

The cohort contained 495 outbound messages and 252 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 104 responding contacts, 69 replied within 24 hours and 101 within seven days. The median time to a first reply was about 4.1 hours, measured only among contacts who replied.

124 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Business owners and veterans in Hawaii.

Make one offer easy to understand: Restaurant franchise ownership opportunities.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Restaurant franchise ownership opportunities. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 42 contacts replied from 197 reached: free course directory listings LinkedIn case study
URL: https://sbl.so/case-study/linkedin-free-course-directory-listings-linkedin-case-study-cs285/
Industry: Education & Training
Channel: LinkedIn

An anonymized LinkedIn campaign offering Free course directory listings to Security training providers in Ireland. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 42 Contacts who replied (14 days)
- 197 Contacts reached
- 21.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Security training providers in Ireland.
2. Make one offer easy to understand: Free course directory listings.
3. Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
42 of 197 contacts replied within 14 days — a 21.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Free course directory listings. Its intended audience was Security training providers in Ireland.

The useful message-design angle is Make a directory launch the reason to invite course partners. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 3 July 2026 to 7 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

197 contact records were reached through qualifying delivered or read outreach.

42 contacts replied within 14 days, equivalent to 21.3% of the measured cohort.

The cohort contained 270 outbound messages and 65 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 42 responding contacts, 19 replied within 24 hours and 39 within seven days. The median time to a first reply was about 24.5 hours, measured only among contacts who replied.

32 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Security training providers in Ireland.

Make one offer easy to understand: Free course directory listings.

Offer the relevant session or learning resource as a first step before discussing a larger commitment.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Free course directory listings. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 16 contacts replied from 80 reached: ai-assisted sourcing and screening with human recruiting support LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-assisted-sourcing-and-screening-with-human-recruiting-support-linkedin-case-study-cs286/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI-assisted sourcing and screening with human recruiting support to HR talent acquisition leaders and recruitment agencies. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 16 Contacts who replied (14 days)
- 80 Contacts reached
- 20.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: HR talent acquisition leaders and recruitment agencies.
2. Make one offer easy to understand: AI-assisted sourcing and screening with human recruiting support.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
16 of 80 contacts replied within 14 days — a 20.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI-assisted sourcing and screening with human recruiting support. Its intended audience was HR talent acquisition leaders and recruitment agencies.

The useful message-design angle is Connect recruiting bottlenecks with a discovery conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 9 April 2026 to 18 April 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

80 contact records were reached through qualifying delivered or read outreach.

16 contacts replied within 14 days, equivalent to 20.0% of the measured cohort.

The cohort contained 114 outbound messages and 43 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 16 responding contacts, 12 replied within 24 hours and 14 within seven days. The median time to a first reply was about 13.6 hours, measured only among contacts who replied.

24 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: HR talent acquisition leaders and recruitment agencies.

Make one offer easy to understand: AI-assisted sourcing and screening with human recruiting support.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI-assisted sourcing and screening with human recruiting support. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 53 contacts replied from 323 reached: executive search services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-executive-search-services-linkedin-case-study-cs287/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Executive search services to Real estate and construction hiring decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 53 Contacts who replied (14 days)
- 323 Contacts reached
- 16.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Real estate and construction hiring decision-makers.
2. Make one offer easy to understand: Executive search services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
53 of 323 contacts replied within 14 days — a 16.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Executive search services. Its intended audience was Real estate and construction hiring decision-makers.

The useful message-design angle is Keep the conversation focused on leadership hiring needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 5 June 2026 to 28 June 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

323 contact records were reached through qualifying delivered or read outreach.

53 contacts replied within 14 days, equivalent to 16.4% of the measured cohort.

The cohort contained 647 outbound messages and 97 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 53 responding contacts, 27 replied within 24 hours and 52 within seven days. The median time to a first reply was about 18.6 hours, measured only among contacts who replied.

159 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Real estate and construction hiring decision-makers.

Make one offer easy to understand: Executive search services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Executive search services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 26 contacts replied from 93 reached: executive recruitment and search services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-executive-recruitment-and-search-services-linkedin-case-study-cs288/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Executive recruitment and search services to Financial services and investment firms in Africa and the Middle East. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 26 Contacts who replied (14 days)
- 93 Contacts reached
- 28.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Financial services and investment firms in Africa and the Middle East.
2. Make one offer easy to understand: Executive recruitment and search services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
26 of 93 contacts replied within 14 days — a 28.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Executive recruitment and search services. Its intended audience was Financial services and investment firms in Africa and the Middle East.

The useful message-design angle is Use relevant hiring needs to start a search discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 May 2026 to 27 May 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

93 contact records were reached through qualifying delivered or read outreach.

26 contacts replied within 14 days, equivalent to 28.0% of the measured cohort.

The cohort contained 134 outbound messages and 45 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 26 responding contacts, 7 replied within 24 hours and 25 within seven days. The median time to a first reply was about 34.0 hours, measured only among contacts who replied.

22 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Financial services and investment firms in Africa and the Middle East.

Make one offer easy to understand: Executive recruitment and search services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Executive recruitment and search services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 56 contacts replied from 125 reached: media exposure and brand visibility services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-media-exposure-and-brand-visibility-services-linkedin-case-study-cs289/
Industry: Marketing & Agencies
Channel: LinkedIn

An anonymized LinkedIn campaign offering Media exposure and brand visibility services to Nigerian professionals and brands. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 56 Contacts who replied (14 days)
- 125 Contacts reached
- 44.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Nigerian professionals and brands.
2. Make one offer easy to understand: Media exposure and brand visibility services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
56 of 125 contacts replied within 14 days — a 44.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Media exposure and brand visibility services. Its intended audience was Nigerian professionals and brands.

The useful message-design angle is Explore visibility needs through a media service conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 5 June 2026 to 13 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

125 contact records were reached through qualifying delivered or read outreach.

56 contacts replied within 14 days, equivalent to 44.8% of the measured cohort.

The cohort contained 317 outbound messages and 107 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 56 responding contacts, 26 replied within 24 hours and 54 within seven days. The median time to a first reply was about 29.4 hours, measured only among contacts who replied.

85 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Nigerian professionals and brands.

Make one offer easy to understand: Media exposure and brand visibility services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Media exposure and brand visibility services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 54 contacts replied from 321 reached: confidential direct-hire opportunities LinkedIn case study
URL: https://sbl.so/case-study/linkedin-confidential-direct-hire-opportunities-linkedin-case-study-cs290/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Confidential direct-hire opportunities to Passive leadership candidates in utilities. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 54 Contacts who replied (14 days)
- 321 Contacts reached
- 16.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Passive leadership candidates in utilities.
2. Make one offer easy to understand: Confidential direct-hire opportunities.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
54 of 321 contacts replied within 14 days — a 16.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Confidential direct-hire opportunities. Its intended audience was Passive leadership candidates in utilities.

The useful message-design angle is Offer a discreet exploratory career conversation. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 June 2026 to 6 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

321 contact records were reached through qualifying delivered or read outreach.

54 contacts replied within 14 days, equivalent to 16.8% of the measured cohort.

The cohort contained 481 outbound messages and 145 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 54 responding contacts, 18 replied within 24 hours and 50 within seven days. The median time to a first reply was about 47.3 hours, measured only among contacts who replied.

58 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Passive leadership candidates in utilities.

Make one offer easy to understand: Confidential direct-hire opportunities.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Confidential direct-hire opportunities. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 13 contacts replied from 62 reached: clinical staffing and healthcare executive recruitment LinkedIn case study
URL: https://sbl.so/case-study/linkedin-clinical-staffing-and-healthcare-executive-recruitment-linkedin-case-study-cs291/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Clinical staffing and healthcare executive recruitment to US medical practice leaders. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 13 Contacts who replied (14 days)
- 62 Contacts reached
- 21.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: US medical practice leaders.
2. Make one offer easy to understand: Clinical staffing and healthcare executive recruitment.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
13 of 62 contacts replied within 14 days — a 21.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Clinical staffing and healthcare executive recruitment. Its intended audience was US medical practice leaders.

The useful message-design angle is Connect practice hiring requirements with a recruitment discussion. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 23 June 2026 to 8 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

62 contact records were reached through qualifying delivered or read outreach.

13 contacts replied within 14 days, equivalent to 21.0% of the measured cohort.

The cohort contained 167 outbound messages and 16 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 13 responding contacts, 8 replied within 24 hours and 13 within seven days. The median time to a first reply was about 13.1 hours, measured only among contacts who replied.

53 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: US medical practice leaders.

Make one offer easy to understand: Clinical staffing and healthcare executive recruitment.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Clinical staffing and healthcare executive recruitment. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 37 contacts replied from 63 reached: ai job search tools and job alerts LinkedIn case study
URL: https://sbl.so/case-study/linkedin-ai-job-search-tools-and-job-alerts-linkedin-case-study-cs292/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering AI job search tools and job alerts to Active technology jobseekers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 37 Contacts who replied (14 days)
- 63 Contacts reached
- 58.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Active technology jobseekers.
2. Make one offer easy to understand: AI job search tools and job alerts.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
37 of 63 contacts replied within 14 days — a 58.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around AI job search tools and job alerts. Its intended audience was Active technology jobseekers.

The useful message-design angle is Introduce app access and alerts as a relevant job search resource. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 July 2026 to 17 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

63 contact records were reached through qualifying delivered or read outreach.

37 contacts replied within 14 days, equivalent to 58.7% of the measured cohort.

The cohort contained 182 outbound messages and 79 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 37 responding contacts, 23 replied within 24 hours and 37 within seven days. The median time to a first reply was about 5.8 hours, measured only among contacts who replied.

37 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Active technology jobseekers.

Make one offer easy to understand: AI job search tools and job alerts.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: AI job search tools and job alerts. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 45 contacts replied from 251 reached: fintech recruitment and candidate sourcing LinkedIn case study
URL: https://sbl.so/case-study/linkedin-fintech-recruitment-and-candidate-sourcing-linkedin-case-study-cs293/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Fintech recruitment and candidate sourcing to Fintech hiring decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 45 Contacts who replied (14 days)
- 251 Contacts reached
- 17.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Fintech hiring decision-makers.
2. Make one offer easy to understand: Fintech recruitment and candidate sourcing.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
45 of 251 contacts replied within 14 days — a 17.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Fintech recruitment and candidate sourcing. Its intended audience was Fintech hiring decision-makers.

The useful message-design angle is Use a sector-specific recruiting conversation to identify hiring requirements. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 14 August 2026 to 29 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

251 contact records were reached through qualifying delivered or read outreach.

45 contacts replied within 14 days, equivalent to 17.9% of the measured cohort.

The cohort contained 449 outbound messages and 89 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 45 responding contacts, 19 replied within 24 hours and 42 within seven days. The median time to a first reply was about 26.7 hours, measured only among contacts who replied.

73 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Fintech hiring decision-makers.

Make one offer easy to understand: Fintech recruitment and candidate sourcing.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Fintech recruitment and candidate sourcing. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 22 contacts replied from 135 reached: structured cabling and fiber network installation LinkedIn case study
URL: https://sbl.so/case-study/linkedin-structured-cabling-and-fiber-network-installation-linkedin-case-study-cs294/
Industry: Professional Services
Channel: LinkedIn

An anonymized LinkedIn campaign offering Structured cabling and fiber network installation to Dallas-area business decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 22 Contacts who replied (14 days)
- 135 Contacts reached
- 16.3% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Dallas-area business decision-makers.
2. Make one offer easy to understand: Structured cabling and fiber network installation.
3. Explain who the group is for and ask whether the invitation would be relevant.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
22 of 135 contacts replied within 14 days — a 16.3% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Structured cabling and fiber network installation. Its intended audience was Dallas-area business decision-makers.

The useful message-design angle is Introduce installation support through infrastructure needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 10 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

135 contact records were reached through qualifying delivered or read outreach.

22 contacts replied within 14 days, equivalent to 16.3% of the measured cohort.

The cohort contained 246 outbound messages and 44 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 22 responding contacts, 10 replied within 24 hours and 18 within seven days. The median time to a first reply was about 40.1 hours, measured only among contacts who replied.

33 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Dallas-area business decision-makers.

Make one offer easy to understand: Structured cabling and fiber network installation.

Explain who the group is for and ask whether the invitation would be relevant.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Structured cabling and fiber network installation. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 18 contacts replied from 83 reached: payment gateway services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-payment-gateway-services-linkedin-case-study-cs295/
Industry: E-commerce & Retail
Channel: LinkedIn

An anonymized LinkedIn campaign offering Payment gateway services to E-commerce startup decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 18 Contacts who replied (14 days)
- 83 Contacts reached
- 21.7% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: E-commerce startup decision-makers.
2. Make one offer easy to understand: Payment gateway services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
18 of 83 contacts replied within 14 days — a 21.7% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Payment gateway services. Its intended audience was E-commerce startup decision-makers.

The useful message-design angle is Ask about payment requirements before proposing a service. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 13 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

83 contact records were reached through qualifying delivered or read outreach.

18 contacts replied within 14 days, equivalent to 21.7% of the measured cohort.

The cohort contained 201 outbound messages and 41 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 18 responding contacts, 12 replied within 24 hours and 17 within seven days. The median time to a first reply was about 15.0 hours, measured only among contacts who replied.

30 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: E-commerce startup decision-makers.

Make one offer easy to understand: Payment gateway services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Payment gateway services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 25 contacts replied from 114 reached: corporate ground transport and fleet automation software LinkedIn case study
URL: https://sbl.so/case-study/linkedin-corporate-ground-transport-and-fleet-automation-software-linkedin-case-study-cs296/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Corporate ground transport and fleet automation software to Enterprise transport decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 25 Contacts who replied (14 days)
- 114 Contacts reached
- 21.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Enterprise transport decision-makers.
2. Make one offer easy to understand: Corporate ground transport and fleet automation software.
3. Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
25 of 114 contacts replied within 14 days — a 21.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Corporate ground transport and fleet automation software. Its intended audience was Enterprise transport decision-makers.

The useful message-design angle is Explore transport digitization needs before a platform demonstration. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 5 May 2026 to 2 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

114 contact records were reached through qualifying delivered or read outreach.

25 contacts replied within 14 days, equivalent to 21.9% of the measured cohort.

The cohort contained 348 outbound messages and 46 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 25 responding contacts, 10 replied within 24 hours and 24 within seven days. The median time to a first reply was 2.0 days, measured only among contacts who replied.

104 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: Enterprise transport decision-makers.

Make one offer easy to understand: Corporate ground transport and fleet automation software.

Ask whether a short overview or relevant demonstration would be useful before sending a long product pitch.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Corporate ground transport and fleet automation software. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 290 contacts replied from 954 reached: corporate car rentals employee transport and travel desk services LinkedIn case study
URL: https://sbl.so/case-study/linkedin-corporate-car-rentals-employee-transport-and-travel-desk-services-linkedin-case-study-cs297/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Corporate car rentals employee transport and travel desk services to Corporate travel and operations decision-makers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 290 Contacts who replied (14 days)
- 954 Contacts reached
- 30.4% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Corporate travel and operations decision-makers.
2. Make one offer easy to understand: Corporate car rentals employee transport and travel desk services.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
290 of 954 contacts replied within 14 days — a 30.4% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Corporate car rentals employee transport and travel desk services. Its intended audience was Corporate travel and operations decision-makers.

The useful message-design angle is Connect a broad transport service offer with company travel needs. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 15 April 2026 to 1 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

954 contact records were reached through qualifying delivered or read outreach.

290 contacts replied within 14 days, equivalent to 30.4% of the measured cohort.

The cohort contained 2,807 outbound messages and 657 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 290 responding contacts, 150 replied within 24 hours and 281 within seven days. The median time to a first reply was about 19.0 hours, measured only among contacts who replied.

800 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Corporate travel and operations decision-makers.

Make one offer easy to understand: Corporate car rentals employee transport and travel desk services.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Corporate car rentals employee transport and travel desk services. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

---

## 60 contacts replied from 207 reached: employee transport services with tracking LinkedIn case study
URL: https://sbl.so/case-study/linkedin-employee-transport-services-with-tracking-linkedin-case-study-cs298/
Industry: Logistics & Mobility
Channel: LinkedIn

An anonymized LinkedIn campaign offering Employee transport services with tracking to HR and operations teams at mid-sized and large Indian businesses. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 60 Contacts who replied (14 days)
- 207 Contacts reached
- 29.0% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: HR and operations teams at mid-sized and large Indian businesses.
2. Make one offer easy to understand: Employee transport services with tracking.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
60 of 207 contacts replied within 14 days — a 29.0% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Employee transport services with tracking. Its intended audience was HR and operations teams at mid-sized and large Indian businesses.

The useful message-design angle is Discuss reliability and tracking before a pilot or demonstration. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 17 June 2026 to 4 August 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

207 contact records were reached through qualifying delivered or read outreach.

60 contacts replied within 14 days, equivalent to 29.0% of the measured cohort.

The cohort contained 565 outbound messages and 107 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 60 responding contacts, 29 replied within 24 hours and 59 within seven days. The median time to a first reply was about 24.1 hours, measured only among contacts who replied.

167 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Keep follow-up coverage active across the observation window; the reply record was not confined to the first day.




What to do in a similar campaign

Choose a specific audience: HR and operations teams at mid-sized and large Indian businesses.

Make one offer easy to understand: Employee transport services with tracking.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Employee transport services with tracking. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

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## 74 contacts replied from 440 reached: confidential utilities leadership recruitment LinkedIn case study
URL: https://sbl.so/case-study/linkedin-confidential-utilities-leadership-recruitment-linkedin-case-study-cs299/
Industry: Recruitment & Careers
Channel: LinkedIn

An anonymized LinkedIn campaign offering Confidential utilities leadership recruitment to Passive utilities leadership candidates. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 74 Contacts who replied (14 days)
- 440 Contacts reached
- 16.8% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: Passive utilities leadership candidates.
2. Make one offer easy to understand: Confidential utilities leadership recruitment.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
74 of 440 contacts replied within 14 days — a 16.8% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Confidential utilities leadership recruitment. Its intended audience was Passive utilities leadership candidates.

The useful message-design angle is Use a low-pressure invitation to discuss a confidential role. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 22 June 2026 to 7 July 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

440 contact records were reached through qualifying delivered or read outreach.

74 contacts replied within 14 days, equivalent to 16.8% of the measured cohort.

The cohort contained 706 outbound messages and 202 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 74 responding contacts, 38 replied within 24 hours and 61 within seven days. The median time to a first reply was about 20.4 hours, measured only among contacts who replied.

88 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: Passive utilities leadership candidates.

Make one offer easy to understand: Confidential utilities leadership recruitment.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Confidential utilities leadership recruitment. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

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## 99 contacts replied from 248 reached: used bourbon and finishing barrel supply LinkedIn case study
URL: https://sbl.so/case-study/linkedin-used-bourbon-and-finishing-barrel-supply-linkedin-case-study-cs300/
Industry: Manufacturing & Industrial
Channel: LinkedIn

An anonymized LinkedIn campaign offering Used bourbon and finishing barrel supply to North American distillers and beverage producers. Replies are measured within 14 days of the first qualifying outreach.

Reported results:
- 99 Contacts who replied (14 days)
- 248 Contacts reached
- 39.9% 14-day reply rate

Adapt this approach:
1. Choose a specific audience: North American distillers and beverage producers.
2. Make one offer easy to understand: Used bourbon and finishing barrel supply.
3. Ask permission to share a short overview, and let the reply determine the next step.

Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Figures are reported in the published story, not independently re-audited here.

Original case study:
99 of 248 contacts replied within 14 days — a 39.9% reply rate in this campaign’s measured outreach cohort. This case examines the audience, offer and recorded follow-up activity behind that result.


The business context

The campaign was configured around Used bourbon and finishing barrel supply. Its intended audience was North American distillers and beverage producers.

The useful message-design angle is Start a trade supply conversation around barrel requirements. A reader considering a similar campaign can use this context to judge whether the offer and audience fit their own business; the reply count alone does not establish that fit.




What the campaign record shows

The measured first outreach ran from 13 August 2026 to 30 September 2026. The source snapshot was taken on 15 October 2026, with a complete 14-day observation window for every included contact.

248 contact records were reached through qualifying delivered or read outreach.

99 contacts replied within 14 days, equivalent to 39.9% of the measured cohort.

The cohort contained 509 outbound messages and 167 incoming messages inside those windows. Message totals include multiple messages per contact.




How the conversation unfolded

Among the 99 responding contacts, 53 replied within 24 hours and 93 within seven days. The median time to a first reply was about 19.0 hours, measured only among contacts who replied.

140 contacts received more than one outbound message before their first reply or the end of their 14-day window. This describes the observed follow-up coverage; it does not prove that follow-ups caused the replies.

Have a clear next response ready from the first day; many of the recorded replies arrived quickly.




What to do in a similar campaign

Choose a specific audience: North American distillers and beverage producers.

Make one offer easy to understand: Used bourbon and finishing barrel supply.

Ask permission to share a short overview, and let the reply determine the next step.

Track the stages separately: a reply, a positive response, a booked conversation and a completed sale answer different questions. Keep the campaign objective explicit before deciding whether a reply is a useful business outcome.




A first message you can adapt

An adaptable example based on the campaign’s offer; this is not a verbatim customer message.

Hi [First name], thought this might be relevant to your work: Used bourbon and finishing barrel supply. Would a short overview be useful?Replace the greeting and add only context you can verify. If the offer needs explanation, keep that explanation relevant to the recipient’s work rather than adding a long list of features.

A follow-up with a fresh reason to reply

Hi [First name], one detail that may help: [a concrete example, useful resource or answer to a likely question]. Happy to share more if this is relevant.This follow-up is a recommended adaptation, not a recovered message from the original campaign.




About these numbers

This is an observational case study from SBL’s LinkedIn snapshot, not a controlled test or a client interview. Contact counts are unique lead records within this campaign. Sender-contact pairs with earlier inbound messages or exposure to multiple recorded campaigns are excluded; contacts with multiple eligible sender records are deduplicated. Only delivered/read, nonempty outbound messages and recorded incoming text are counted.

Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Later activity and contacts outside this cohort are not included. Names, account identifiers and private conversation text are omitted.

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