Short-Form Video Performance Analyzer
Analyze short-form video metrics to identify what is working, what is not, and how to improve.
Turn short-form analytics into actionable content improvements.
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Prompt objective
Turn short-form analytics into actionable content improvements.
Real use case
A creator analyzing their last 20 Reels to understand why some went viral and others flopped.
Prompt
Act as a short-form video analytics expert who can diagnose performance issues and prescribe specific fixes.
Context:
- Platform: {platform}
- Number of videos analyzed: {num_videos}
- Average views: {avg_views}
- Best performing video (views + topic): {best_video}
- Worst performing video (views + topic): {worst_video}
- Average watch time / retention rate: {avg_retention}
- Average engagement rate: {avg_engagement}
Deliver the following:
1. Diagnose the primary performance bottleneck: reach (impressions), hook (3-second view rate), retention (average watch time), or engagement (likes/comments/shares). Explain your reasoning.
2. Compare the best and worst performing videos across 5 dimensions: hook strength, pacing, topic relevance, visual quality, and CTA effectiveness.
3. Provide 5 specific, actionable changes to implement in the next 10 videos, ordered by expected impact.
4. Identify 2 content patterns from the data that should be doubled down on.
5. Identify 2 content patterns that should be abandoned or significantly revised.
6. Recommend 3 experiments to run in the next 2 weeks to test hypotheses about your audience.
Be direct and specific. Avoid generic advice like 'post more consistently.'Open directly in an AI — the text is pre-filled:
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