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Funnel Analyzer

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

/funnel-analyzer

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 runs inside a workflow

Agent workflows chain multiple skills into one command.

Hypothesis Tester

Agent workflow

Metrics dropped. Find out why.

3 skills automated
2 hrs → 15 min

How to use this skill

  1. 1Start your free trial — all 70 skills are included
  2. 2Set up your company context with /welcome
  3. 3Type /funnel-analyzer in Claude to run the skill

Best For

Growth reviewsConversion optimizationOnboarding analysisCheckout optimization

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A/B Test Analyzer

/ab-test-analyzer

Interpret experiment results with statistical rigor and clear ship/no-ship recommendations.

A/B Test Designer

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Design statistically sound experiments with clear hypotheses and sample size calculations.

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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