Library/Sales Operations, CRM & Productivity/Call & Email Performance Review/Identify Top LinkedIn Topics for Content Creation
TestedSales Operations, CRM & ProductivitySame-Day Use (under 30 min)
About this prompt
This prompt analyzes LinkedIn analytics data — impressions, clicks, likes, comments, shares, and engagement rates — to identify the 10 topics or content types generating the most audience engagement. Use it when deciding where to focus content creation effort, or when an existing content strategy needs to be recalibrated based on performance. Requires pasted LinkedIn analytics data as input.LinkedIn content investment should follow engagement data, not intuition — this prompt makes that data-driven decision systematic. It takes your LinkedIn analytics (pasted directly into the prompt) and applies engagement analysis across multiple metrics: impressions for reach, likes for resonance, comments for provocation, shares for forward value, and composite engagement rate for overall effectiveness. It then surfaces the 10 highest-performing topics along with patterns in what made them resonate — format, topic category, tone, time of post. Replace {$LINKEDIN_ANALYTICS} with your actual data, and optionally specify {$CONTENT_AREAS_OF_INTEREST} to filter toward specific themes you want to develop. Use this quarterly to reset your content focus based on what the algorithm and your audience are actually rewarding. For SDRs using LinkedIn for social selling, the topic analysis also reveals which subject areas generate the most engagement from people in your target buyer profile.The prompt
You will be analyzing LinkedIn analytics data to identify the 10 most engaging topics for content creation. Here are the steps: 1. First, I will ask you to provide the LinkedIn analytics data you have
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Variables to replace
LINKEDIN ANALYTICS | CONTENT AREAS OF INTEREST | YOUR ANALYSIS AND JUSTIFICATION FOR THE TOP 10 TOPICS GOES HERE | TOPIC | JUSTIFICATION
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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