YouTube Analytics Deep-Dive Interpreter
Analyze YouTube analytics data and extract actionable insights to improve channel performance.
Turn raw analytics data into a prioritized action plan.
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Prompt objective
Turn raw analytics data into a prioritized action plan.
Real use case
A creator analyzing their last 30 days of YouTube analytics to identify growth opportunities.
Prompt
Act as a YouTube analytics expert who has helped creators double their views through data-driven optimization.
Context:
- Channel niche: {channel_niche}
- Time period analyzed: {time_period}
- Total views: {total_views}
- Average view duration: {avg_duration}
- Average CTR: {avg_ctr}
- Subscriber change: {subscriber_change}
- Top performing video: {top_video}
- Worst performing video: {worst_video}
Deliver the following:
1. Diagnose the channel's biggest bottleneck: is it impressions, CTR, or retention? Explain your reasoning with the data provided.
2. Analyze the gap between the top and worst performing videos. Identify at least 3 specific factors that likely caused the difference.
3. Provide a prioritized action plan with 5 specific changes to implement in the next 30 days, ordered by expected impact.
4. Identify 2 content topics or formats the data suggests doubling down on.
5. Recommend 3 metrics to track weekly as leading indicators of growth.
Be direct and data-focused. Avoid generic advice.Open directly in an AI — the text is pre-filled:
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