Example Inputs
Issue
Audience drops after a long personal intro
Viewer
Busy creators who want tactical advice fast
Weak Point
Section transitions feel repetitive
Review a video's structure, pacing, and likely drop-off points using notes, transcript, or analytics context.
This prompt helps you diagnose why a video may lose attention. It is especially useful when you already have transcript notes, watch-time issues, or qualitative feedback and need clearer editorial fixes.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as a YouTube retention analyst. Your task is to audit my video's likely retention issues and suggest edits to structure, pacing, clarity, and payoff. Use these inputs when available: - [Video Transcript or Outline] - [Audience Retention Notes or Observations] - [Target Viewer] - [Where the Video Felt Weak or Slow] Requirements: - Identify likely drop-off points. - Explain why the issue hurts retention. - Recommend fixes to hook, pacing, sections, or visuals. - Keep the advice specific to the actual video structure. Return the answer in this format: 1. Retention risk areas 2. Recommended edits 3. A stronger revised opening or transition where needed Tone and style: editorial and diagnostic Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Issue
Audience drops after a long personal intro
Viewer
Busy creators who want tactical advice fast
Weak Point
Section transitions feel repetitive
The video likely loses momentum because the viewer promise is delayed by story setup before the practical payoff is clear. Move one concrete insight into the first 20 seconds and shorten the personal context.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
These related calculators and guides add more depth when you want to connect this youtube prompt to real numbers, strategy, or supporting tools.
Use prompt-led content planning alongside views, impressions, and CTR-focused growth tools.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.