Funnel Analysis
Analyze user conversion funnels, identify drop-off points, and optimize conversion rates for conversion optimization and user flow analysis
npx skills add majiayu000/claude-skill-registry --skill funnel-analysis-aj-geddes-useful-ai-prompts --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Funnel Analysis ## Overview Funnel analysis tracks user progression through sequential steps, identifying where users drop off and optimizing each stage for better conversion. ## When to Use - When optimizing user conversion paths and improving conversion rates - When identifying bottlenecks and drop-off points in user flows - When comparing performance across different segments or traffic sources - When measuring product feature adoption or onboarding effectiveness - When improving customer journey efficiency and user experience - When A/B testing different funnel configurations or designs ## Funnel Structure - **Stage 1**: Initial entry (landing page, app open) - **Stage 2-N**: Intermediate steps (signup, selection, payment) - **Final Stage**: Goal completion (purchase, subscription, sign-up) - **Drop-off**: Users not progressing to next stage - **Conversion Rate**: % progressing to next step ## Key Metrics - **Drop-off Rate**: % leaving at each stage - **Conversion Rate**: % progressing per stage - **Funnel Efficiency**: Overall conversion (Stage 1 to Final) - **Friction Score**: Identifying problem areas ## Implementation with Python ```python import pandas as pd import numpy
- Overview
- When to Use
- Funnel Structure
- Key Metrics
- Implementation with Python
- Funnel Analysis Steps
- Common Drop-off Points
- Deliverables
What does the Funnel Analysis skill do?
Analyze user conversion funnels, identify drop-off points, and optimize conversion rates for conversion optimization and user flow analysis
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill funnel-analysis-aj-geddes-useful-ai-prompts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.