funnel-analysis
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
npx skills add majiayu000/claude-skill-registry --skill funnel-analysis --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 Skill Analyze user behavior through multi-step conversion funnels to identify bottlenecks and optimization opportunities in marketing campaigns, user journeys, and business processes. ## Quick Start This skill helps you: 1. **Build conversion funnels** from multi-step user data 2. **Calculate conversion rates** between each step 3. **Perform segmentation analysis** by different user attributes 4. **Create interactive visualizations** with Plotly 5. **Generate business insights** and optimization recommendations ## When to Use - Marketing campaign analysis (promotion → purchase) - User onboarding flow analysis - Website conversion funnel optimization - App user journey analysis - Sales pipeline analysis - Lead nurturing process analysis ## Key Requirements Install required packages: ```bash pip install pandas plotly matplotlib numpy seaborn ``` ## Core Workflow ### 1. Data Preparation Your data should include: - User journey steps (clicks, page views, actions) - User identifiers (customer_id, user_id, etc.) - Timestamps or step indicators - Optional: user attributes for segmentation (gender, device, location) ### 2. Analysis Process 1. Load and merge user journey d
- Quick Start
- When to Use
- Key Requirements
- Core Workflow
- 1. Data Preparation
- 2. Analysis Process
- 3. Output Deliverables
- Example Usage Scenarios
- E-commerce Purchase Funnel
- User Registration Funnel
- Content Consumption Funnel
- Common Analysis Patterns
- Integration Examples
- Best Practices
pip install pandas plotly matplotlib numpy seaborn
What does the funnel-analysis skill do?
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill funnel-analysis --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.