Library/Sales Operations, CRM & Productivity/Call & Email Performance Review/Identify Top-Performing LinkedIn Posts from Analytics Data
TestedSales Operations, CRM & ProductivitySame-Day Use (under 30 min)

Identify Top-Performing LinkedIn Posts from Analytics Data

Rank LinkedIn posts by impressions and engagement to identify which content topics and formats drive the most reach.

About this prompt

This prompt analyzes LinkedIn analytics data to surface the top-performing posts by impressions and likes, identifying which content topics, formats, and themes are generating the most reach and engagement. Use it when building a LinkedIn content strategy or when evaluating which posts to amplify or repurpose. Requires pasted LinkedIn analytics data as input.LinkedIn content strategy without performance data is guesswork — this prompt turns your analytics into a prioritized content investment thesis. It takes the LinkedIn analytics data you paste in, sorts posts by impressions to identify reach leaders and by likes to identify engagement leaders, and surfaces patterns in what the top performers have in common — topic type, format (text-only versus image versus document), posting time, and tone. For sales leaders building a personal brand or a company page strategy, the output identifies which topics resonate with the specific audience that's following the account. Use this monthly or quarterly to recalibrate your content themes based on what's actually working. For SDRs using LinkedIn as an outreach channel, knowing which content your prospects engage with most highly informs both your own posting strategy and your personalization approach in DMs.

The prompt

You will be analyzing LinkedIn analytics data to identify the top performing posts. Here are the steps to follow: 1. First, prompt the user to provide the LinkedIn analytics data by outputting: Please
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Variables to replace

LINKEDIN ANALYTICS

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.

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StageOngoing/Cross-Stage
SeatAE, SDR, Sales Manager
DifficultyBasic
Time to valueSame-Day Use (under 30 min)
Works withAI-Agnostic
CategorySales Operations, CRM & Productivity
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