Campaign results & playbook
What happened. What to do.
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.
Adapt this approach
- 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.
Reading the numbers: Replies are any recorded replies, not verified positive 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
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.
