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Data/funnel-analyzer

Funnel Analyzer

Diagnose conversion funnel problems and generate data-backed improvement hypotheses.

Time Saved

3-4 hrs → 30 min

Compared to doing it manually

Slash Command

/funnel-analyzer

Type this in Claude to run the skill

The Problem

Everyone knows the funnel is leaky, but nobody knows exactly where or why. Conversion discussions turn into guessing games without proper drop-off analysis.

What You Get

  • Step-by-step drop-off analysis
  • Absolute numbers (not just percentages)
  • Segment comparisons (device, user type, source)
  • Hypothesis generation for each drop
  • Impact projections for improvements
  • Prioritized fix recommendations

Want this automated?

This skill is part of a workflow that automate multiple steps together:

How to use this skill

  1. 1Download the skill file using the button on this page
  2. 2Add the file to your .claude/skills/ folder in your project
  3. 3Type /funnel-analyzer in Claude to run the skill

Best For

Growth reviewsConversion optimizationOnboarding analysisCheckout optimization

Frequently Asked Questions

Funnel analysis tracks how users progress through a series of steps (e.g., visit → signup → activation → purchase). It reveals where users drop off and helps prioritize optimization efforts.

Look for steps with higher-than-expected abandonment. Compare to benchmarks, segment by user type, and use session recordings to understand why users leave. The biggest drop-off is your biggest opportunity.

It depends heavily on industry and funnel stage. B2B SaaS: 2-5% visitor-to-trial, 10-25% trial-to-paid. Focus less on absolute numbers and more on improving your own baseline over time.

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