MCPInstall

funnel-analysis

by liangdabiaoMarketing & SEO

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.

Installs
66
Last 24h
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/liangdabiao/claude-data-analysis-ultra-main --skill funnel-analysis
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads funnel-analysis automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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:

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 data
  2. Define funnel steps and calculate metrics
  3. Perform segmentations (by device, gender, etc.)
  4. Create visualizations
  5. Generate insights and recommendations

3. Output Deliverables

  • Funnel visualization charts
  • Conversion rate tables
  • Segmented analysis reports
  • Optimization recommendations

Example Usage Scenarios

E-commerce Purchase Funnel

# Steps: Promotion → Search → Product View → Add to Cart → Purchase
# Analyze by device type and customer segment

User Registration Funnel

# Steps: Landing Page → Sign Up → Email Verification → Profile Complete
# Identify where users drop off most

Content Consumption Funnel

# Steps: Article View → Comment → Share → Subscribe
# Measure engagement conversion rates

Common Analysis Patterns

  1. Bottleneck Identification: Find steps with highest drop-off rates
  2. Segment Comparison: Compare conversion across user groups
  3. Temporal Analysis: Track conversion over time
  4. A/B Testing: Compare different funnel variations
  5. Optimization Impact: Measure changes before/after improvements

Integration Examples

See examples/ directory for:

  • basic_funnel.py - Simple funnel analysis
  • segmented_funnel.py - Advanced segmentation analysis
  • Sample datasets for testing

Best Practices

  • Ensure data quality and consistency
  • Define clear funnel steps
  • Consider user journey time windows
  • Validate statistical significance
  • Focus on actionable insights

FAQ

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 funnel-analysis?

Run npx skills add https://github.com/liangdabiao/claude-data-analysis-ultra-main --skill funnel-analysis in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/funnel-analysis/ (personal) or .claude/skills/funnel-analysis/ (project).

Which AI agents can use funnel-analysis?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is funnel-analysis safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains funnel-analysis?

It is published by liangdabiao in liangdabiao/claude-data-analysis-ultra-main. It has 66 recorded installs.

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