Content Performance Report
Separate posts that attract buyers from posts that attract followers — get a data-driven content calendar
From Clearcue, analyze all brand engagement signals from the last 60 days. I want to know which of our content actually drives ICP engagement — not vanity metrics.
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Top Performing Posts by ICP Engagement:
- Which posts got the most engagement from people who match our ICP?
- Separate from which posts got the most engagement OVERALL (these are often different)
- What topics/formats did the ICP-engaging posts cover?
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Content-to-Pipeline Analysis:
- Of people who eventually responded to outreach, what content did they first engage with?
- Is there a "gateway post" type that tends to be people's first engagement?
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Topic Clusters:
- Group engagers by what topics they respond to
- Are there distinct audience segments that care about different things?
- Which topic clusters have the most decision-makers?
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Format Analysis: Do ICP people engage more with:
- Data/stat posts vs story posts vs tactical how-to posts?
- Long form vs short form?
- Posts with images vs text-only?
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Content Calendar Recommendation: Based on this data, give me a 2-week content calendar with:
- Topic for each post
- Format recommendation
- Which ICP segment this targets
- Expected engagement level
The goal: stop creating content that gets likes from the wrong people, start creating content that generates pipeline.
Requirements
Brand signal on your company/founder profile for 30+ days
Pro tip
The split between 'most popular overall' and 'most popular with ICP' is the critical insight. Many founders create content that goes viral with other founders but doesn't attract buyers. If your most-liked posts have zero ICP engagement, you're optimizing for the wrong audience.
What happens
Clearcue ties engagement data to specific content pieces and ICP profiles. Claude reveals which content actually attracts buyers vs which just gets vanity engagement. The content calendar is data-driven — not guessing what to post, but posting what proven data says works.
Time saved
3-4 hours → 1 prompt
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