Marketing & Sales Difficulty: Intermediate

Analyze Landing Page Engagement Using Heat Maps and Recommend Heat Map Tools

This prompt guides a professional digital marketer or UX analyst to utilize heat maps for identifying the most engaging sections of a landing page. It instructs to analyze heat map data to pinpoint user interaction hotspots and to compile a list of effective heat map tools similar to Crazy Egg and Hotjar. The output should be a structured framework detailing the analysis process and recommended tools for immediate application.

The prompt

83 words1 blank to fill in

Act as an experienced digital marketer with expertise in user experience analytics. Based on the provided [LANDING PAGE URL], placeholder and available heat map data, create a detailed analysis identifying which sections of the landing page receive the highest user engagement. Include a comprehensive list of heat map tools comparable to Crazy Egg and Hotjar that can generate actionable heat map data. Deliver the results as a structured framework that outlines the analysis methodology, key engagement insights, and tool recommendations ready for immediate implementation.

Highlighted text is a blank. Swap it for your own detail before you send the prompt.

What it produces

  • Identify top three landing page sections with highest click and scroll activity based on heat map data.
  • List five heat map tools including Crazy Egg, Hotjar, and three alternatives with brief feature summaries.
  • Provide a step-by-step framework for analyzing heat map data to improve landing page engagement.

How to use this prompt

Four steps, about a minute. Nothing to install and no account needed.

  1. Copy the prompt

    Use the Copy button above. The whole prompt goes to your clipboard exactly as written. Nothing is trimmed.

  2. Fill in the blanks

    Replace [LANDING PAGE URL] with your own detail. Everything in square brackets is a blank for you to fill in.

  3. Paste it into your assistant

    Checked against ChatGPT, Claude, Gemini. It is written as plain instructions, so paste it into whichever of them you already use.

  4. Read the result, then push back

    Compare what you get to the example below. If it is close but not right, say what to change: shorter, warmer, more specific, then ask again in the same conversation.

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