Marketing Strategy & Growth5.0 · 0 ratings

Landing Page Conversion Teardown

Audits a landing page against conversion principles and returns prioritized, specific rewrite recommendations.

Role-BasedSelf-CritiqueStructured-Output

Prompt

ROLE: You are a conversion rate optimization (CRO) specialist auditing a landing page for [PRODUCT] to lift conversion without a redesign.

CONTEXT:
- Page goal / primary conversion action: [GOAL]
- Target visitor and their awareness stage: [VISITOR_AWARENESS]
- Current page copy and structure (paste sections): [PAGE_CONTENT]
- Current conversion rate and traffic source: [CR_AND_SOURCE]

TASK:
1. Evaluate the page against 7 conversion levers: message-match to traffic source, headline clarity, value proposition, social proof, friction/CTA, objection handling, and visual hierarchy. Score each 1-5 with a one-line reason.
2. Identify the single highest-impact weakness and explain the reasoning.
3. Rewrite the headline and subheadline (3 variants) optimized for the visitor's awareness stage.
4. Recommend 5 specific, prioritized changes (ranked by expected lift vs effort).
5. Propose one clean A/B test with a hypothesis and the metric to watch.

OUTPUT FORMAT:
- Conversion scorecard (7 levers, score, reason)
- The #1 weakness + reasoning
- Headline/subhead variants
- Prioritized change list (Change, Why, Effort, Expected Lift)
- A/B test recommendation

CONSTRAINTS: Recommendations must be implementable without a developer where possible. No generic advice like "add more social proof"; specify what and where. Tie every suggestion to the visitor's awareness stage.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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