Client: Lectrix / InterferenceTechnology
Industry: Electronics / EMI–EMC Components & Tools
Primary CTA: Book a meeting / product demo
Campaigns 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.
