Library/Outreach & Messaging/First-Touch & Cold Outreach/Reference a Prospect's Podcast or Talk in Cold Outreach
TestedOutreach & MessagingQuick Win (under 10 min)
About this prompt
This prompt helps AEs and SDRs craft outreach to prospects who have a public voice — podcast guests, conference speakers, panel participants — by referencing their actual ideas rather than just name-dropping the event. Use it when a prospect's public content gives you a specific, substantive hook that most reps would ignore.Referencing a prospect's talk or podcast appearance is a common tactic; doing it well is rare. Most outreach just says 'loved your talk at X' — which is noise. This prompt generates a message under 120 words for PROSPECT NAME that references a specific insight from their PODCAST APPEARANCE or CONFERENCE TALK on KEY TOPIC, connects that insight to a real business challenge, and invites a conversation rather than a meeting. The three fill-in fields do the work: they force you to actually engage with what the prospect said, not just signal that you watched. Use this when the content is recent (within 60–90 days) and the insight is genuinely connected to the problem your product solves; if the connection is a stretch, the message will read as forced. Tip: quote a specific sentence or claim from their talk — it proves you listened and separates your message from everyone else who mentioned the event.The prompt
I listened to [FILL IN prospect name]'s recent [FILL IN podcast appearance / conference talk] where they discussed [FILL IN key topic or insight]. Write a LinkedIn message or email that: (1) reference
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Variables to replace
FILL IN PROSPECT NAME|FILL IN PODCAST APPEARANCE / CONFERENCE TALK|FILL IN KEY TOPIC OR INSIGHT
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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