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148 contacts replied from 931 reached: an ai and digital transformation workshop LinkedIn case study

Campaign results & playbook

What happened. What to do.

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.

148Contacts who replied (14 days)
931Contacts 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. Counts come from the reconciled SBL LinkedIn snapshot dated 15 October 2026. They are observational results, not guarantees. Read this case as plain text

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

  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.

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

A first message you can adapt

An adaptable example 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.

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