Library/Account Research & Buyer Intelligence/Social & Digital Signal Monitoring/LinkedIn Analytics Extract Likers Commenters Names
TestedAccount Research & Buyer IntelligenceSame-Day Use (under 30 min)

LinkedIn Analytics Extract Likers Commenters Names

Convert raw LinkedIn engagement data into a structured list of named contacts to prioritize for outreach or pipeline follow-up.

About this prompt

This prompt takes LinkedIn analytics data and extracts the names of people who liked or commented on your posts, turning passive engagement signals into a prospecting shortlist. It's designed for SDRs, BDRs, and AEs who run content-led prospecting strategies and need to act quickly on warm signals. Use it during pipeline management when you want to identify and prioritize inbound-curious contacts before the signal goes cold.

The prompt

You will be working with LinkedIn analytics data to extract the names of people who have liked or commented on posts. Here are the steps to follow: 1. The data you will be working with is provided in
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Variables to replace

LINKEDIN ANALYTICS DATA | NAME 1 | NAME 2 | NAME 3

How to run it

  1. Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
  2. Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
  3. 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

StageProspecting
SeatSDR, BDR, AE
DifficultyBasic
Time to valueSame-Day Use (under 30 min)
Works withAI-Agnostic
CategoryAccount Research & Buyer Intelligence
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