Video Performance Diagnosis

T

Theo Williams

@theo-williams

·

Systematically diagnose underperforming videos to identify root causes

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Diagnose why this video underperformed:

Video details:
- Title: {{title}}
- Thumbnail description: {{thumbnail}}
- Views: {{views}} (expected: {{expected_views}})
- CTR: {{ctr}}
- Retention: {{avg_retention}}

**Step 1: Traffic Source Analysis**
Where did views come from?
- If low browse: CTR problem
- If low search: SEO problem
- If low suggested: Retention problem

**Step 2: CTR Diagnosis**
If CTR is low ({{ctr}} vs benchmark):
- Title weakness analysis
- Thumbnail weakness analysis
- Topic appeal assessment

**Step 3: Retention Diagnosis**
If retention is low ({{avg_retention}} vs benchmark):
- Hook effectiveness
- Content delivery issues
- Pacing problems

**Step 4: Root Cause Identification**
Primary issue:
Secondary issues:

**Step 5: Fix Recommendations**
- Immediate fixes (title/thumbnail swap)
- Learnings for future videos
- A/B test suggestions

Details

Category

Analysis

Use Cases

Performance analysisVideo debuggingLearning from failure

Works Best With

gpt-4oclaude-sonnet-4o1
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