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42 contacts replied from 100 reached: LinkedIn AI startup fundraising

Campaign results & playbook

What happened. What to do.

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.

42Contacts who replied (14 days)
100Contacts 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. Counts come from the reconciled SBL LinkedIn snapshot dated 15 October 2026. They are observational results, not guarantees. Read this case as plain text

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

  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.

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

A first message you can adapt

An adaptable example 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.

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