Diagnose conversion funnel problems and generate data-backed improvement hypotheses.
3-4 hrs → 30 min
Compared to doing it manually
/funnel-analyzerType this in Claude to run the skill
Everyone knows the funnel is leaky, but nobody knows exactly where or why. Conversion discussions turn into guessing games without proper drop-off analysis.
This skill is part of a workflow that automate multiple steps together:
.claude/skills/ folder in your project/funnel-analyzer in Claude to run the skillBuild comprehensive metrics frameworks using the AARRR pirate metrics or input/output methodology.
Design A/B tests with proper methodology, sample sizes, and success criteria.
Interpret experiment results with statistical rigor and clear ship/no-ship recommendations.
Design statistically sound experiments with clear hypotheses and sample size calculations.
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.
Download this skill and drop it in your .claude/skills/ folder.
This skill + 70+ more, context files, and agent workflows — $499