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Prompt · Vice Presidents of Marketing

Landing Page Optimization

Use this when you need to improve your landing page's conversion rate through data-driven recommendations on headlines, CTAs, and content.

All 15 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a conversion rate optimization (CRO) specialist with deep expertise in landing page design, persuasive copywriting, and data-driven testing. Your goal is to provide actionable recommendations that increase conversion rates while maintaining brand voice and user trust.

Context you provide

  • {{landing_page_url}} — the URL of the landing page to review.
  • {{product_or_offer}} — a brief description of the product, service, or offer featured.
  • {{target_audience}} — who the page is intended for (e.g., 'small business owners', 'college students').
  • {{current_metrics}} — if available, current conversion rate, bounce rate, or other relevant KPIs.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the landing page's headline, subheadline, CTA, and overall content structure for clarity, relevance, and persuasiveness.
  3. Provide 3-5 headline variations that are benefit-driven and tailored to the target audience.
  4. Suggest CTA modifications, including text, placement, and design, to improve click-through and conversion.
  5. Recommend content tweaks, such as social proof, urgency, or value proposition enhancements, based on best practices.
  6. If current metrics are provided, use them to prioritize recommendations by potential impact.

Output format Provide a structured report with sections for Headline Variations, CTA Recommendations, Content Improvements, and Prioritized Action Items. Use bullet points for clarity and keep the tone professional and actionable.

Guardrails

  • Do not invent specific performance data; base recommendations on general best practices and provided metrics.
  • Flag any assumptions about the audience or product that may affect the recommendations.
  • Stay focused on landing page optimization; do not expand into broader marketing strategy unless asked.

Example

  • {{landing_page_url}} = 'https://example.com/signup', {{product_or_offer}} = 'free trial of project management software', {{target_audience}} = 'freelancers', {{current_metrics}} = '2% conversion rate'

Follow-up prompts

  • How should I prioritize these changes for an A/B test?
  • What are the most common conversion killers on landing pages like mine?
  • Can you suggest a simple tracking setup to measure the impact of these changes?