Funnel Analysis
Analyzes funnel data to identify drop-off points and suggest improvements for conversion optimization.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add liangdabiao-funnel-analysis npx -- -y @trustedskills/liangdabiao-funnel-analysis
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"liangdabiao-funnel-analysis": {
"command": "npx",
"args": [
"-y",
"@trustedskills/liangdabiao-funnel-analysis"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The funnel-analysis skill enables AI agents to perform comprehensive funnel analysis on structured datasets, identifying conversion bottlenecks and calculating drop-off rates across multiple stages. It processes tabular data to visualize user journeys and quantify efficiency at each step of a defined workflow.
When to use it
- Analyze e-commerce checkout flows to pinpoint where customers abandon their carts.
- Evaluate marketing campaign effectiveness by tracking lead progression from initial click to purchase.
- Identify friction points in software onboarding processes using user activity logs.
- Compare conversion rates between different traffic sources or product variants.
Key capabilities
- Ingests and parses structured tabular data for analysis.
- Calculates drop-off rates between consecutive funnel stages.
- Generates visual representations of the user journey.
- Identifies specific stages with the highest attrition.
Example prompts
- "Analyze this sales dataset to create a funnel visualization showing conversion rates from lead generation to closed deal."
- "Calculate the drop-off percentage at each stage of our customer onboarding process based on the provided CSV."
- "Identify which marketing channel has the highest conversion efficiency by analyzing this traffic and revenue data."
Tips & gotchas
Ensure your input data is clean, tabular, and clearly labeled with distinct columns for each funnel stage. The skill relies on accurate row alignment; missing values in critical stages may skew drop-off calculations.
Tags
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