Funnel Analysis
This one helps you track user behavior through conversion funnels, from signup flows to checkout processes. It's meant for spotting where people bail out in multi-step sequences and figuring out why your conversion rates tank at specific stages. The skill covers funnel structure, metrics like conversion and drop-off rates, and segment comparison across traffic sources or user cohorts. Honestly most useful when you're already collecting the data and need help interpreting it or setting up the right questions to ask. Won't magically fix your funnel, but it'll help you think through the analysis systematically instead of just staring at dashboards wondering what's broken.
- GitHub stars
- 317
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill 'Funnel Analysis' --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
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- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- AI & Agent Building, Marketing & SEO
- First seen
- Jun 3, 2026
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