Library/Outreach & Messaging/Post-Meeting & Event Follow-Up/Write LinkedIn Follow-Up After Meeting at an Event
TestedOutreach & MessagingQuick Win (under 10 min)
About this prompt
This prompt helps SDRs, BDRs, and AEs follow up on LinkedIn with a prospect they met briefly at a conference or networking event. It produces a message that references the specific conversation, adds a relevant piece of value, and proposes a casual 15-minute call. Use it within 24 to 48 hours of a conference or event where you had a substantive conversation with a prospect you want to advance.Event-based follow-ups have a short half-life — the longer you wait after a conference, the more your conversation fades in the prospect's memory. This prompt generates a post-event LinkedIn message to [PROSPECT NAME] that opens with a specific callback to your conversation at [EVENT NAME] about [TOPIC WE DISCUSSED], adds a useful insight or resource related to that topic, and proposes a casual 15-minute call to continue the dialogue. The tone is warm and genuine rather than transactional, which fits the relationship equity from an in-person meeting. Use this within 24 to 48 hours of the event, not a week later when it will feel like a cold message with a thin event pretext. For best results, include the actual value piece — a specific article, stat, or case study — before running the prompt so the AI can reference something real rather than suggesting you 'share a relevant resource' in the abstract.The prompt
Write a LinkedIn message to [PROSPECT NAME] who I met briefly at [EVENT NAME]. We spoke for a few minutes about [TOPIC WE DISCUSSED]. Write a follow-up message that:
- References our specific conversa
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Variables to replace
PROSPECT NAME|EVENT NAME|TOPIC WE DISCUSSED
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
Make it yours
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