Campaign results & playbook
What happened. What to do.
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.
Adapt this approach
- 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.
Reading the numbers: Replies are any recorded replies, not verified positive interest. Connection acceptances, meetings, sales and revenue are not established for this campaign. Counts use unique contact records in the defined 14-day cohort. Counts come from the reconciled SBL LinkedIn snapshot dated 15 October 2026. They are observational results, not guarantees. Read this case as plain text
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.
