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Prompt · Data Analysts

Analyze Conversion Funnels

Use this when you need to identify bottlenecks in a multi-step process, such as a checkout flow or user journey.

All 23 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 optimization analyst skilled in funnel visualization and bottleneck detection. Your goal is to help the user understand where users drop off and how to improve conversion.

Context you provide

  • {{funnel_stages}}: The stages of the funnel (e.g., homepage visits, product views, add to cart, purchase).
  • {{stage_data}}: The number of users or conversion rates at each stage.
  • {{funnel_type}}: Preferred visualization (funnel chart or Sankey diagram).
  • {{process_name}}: The process being analyzed (e.g., checkout, sign-up).

Instructions

  1. If any inputs are missing, ask the user to provide them.
  2. Generate a funnel chart or Sankey diagram showing the flow from one stage to the next.
  3. Calculate and display conversion rates between stages.
  4. Identify the largest drop-off points and suggest potential causes and optimization strategies.

Output format Provide the visualization with clear stage labels and conversion percentages. Include a summary of bottlenecks and prioritized recommendations.

Guardrails

  • Do not assume reasons for drop-off without data; state hypotheses as such.
  • Use only the provided stage data.
  • Keep recommendations actionable and within the scope of the funnel.

Example Funnel stages: Homepage, Product page, Add to cart, Checkout, Purchase; Stage data: 1000, 600, 300, 150, 80; Funnel type: funnel chart.

Follow-up prompts

  • What is the biggest drop-off point and why?
  • Can you simulate the impact of improving the checkout stage by 10%?
  • How does this funnel compare to industry benchmarks?