Library/Outreach & Messaging/LinkedIn & Social Messaging/Write LinkedIn Warm Follow-Up for Previously Contacted Lead
TestedOutreach & MessagingQuick Win (under 10 min)
About this prompt
This prompt helps SDRs, BDRs, and AEs follow up on LinkedIn with a prospect they've spoken to before but haven't advanced. It reconnects around the previous interaction, reintroduces the relevant product benefit, and closes with a specific next step. Use it when a prospect went quiet after an initial conversation and you want to re-engage on LinkedIn without starting completely cold.Warm LinkedIn follow-ups are different from cold DMs — the prospect already knows who you are, which means a vague opener wastes the relationship equity you've already built. This prompt generates a message for [JOB TITLE] named [NAME] at [COMPANY] that opens with a brief callback to the previous conversation about [TOPIC OR PRODUCT], reframes the value of [PRODUCT/SERVICE] through the lens of [INDUSTRY], addresses something the prospect showed specific interest in, and ends with a concrete next step. Fill in all six variables for a tailored output; generic inputs produce generic output. Use this prompt for prospects you've had at least one real conversation with — if you've only connected on LinkedIn with no prior dialogue, the cold DM prompt (0051) is the right starting point. For best results, be specific about what the prospect expressed interest in; referencing a detail they mentioned signals that you were paying attention.The prompt
Generate a personalized warm follow-up LinkedIn message for a [JOB TITLE] named [NAME] at [COMPANY] who I previously spoke with about [TOPIC OR PRODUCT]. The message should:
- Start with a warm greeti
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Variables to replace
JOB TITLE|NAME|COMPANY|TOPIC OR PRODUCT|PRODUCT/SERVICE|INDUSTRY
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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