attribution-analysis-modeling
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.
npx skills add majiayu000/claude-skill-registry --skill attribution-analysis-modeling-liangdabiao-claude-data-analysis-2 --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.
# Marketing Attribution Analysis & Modeling A comprehensive attribution analysis skill that evaluates marketing channel effectiveness using advanced statistical models, helping optimize marketing spend and understand customer journey patterns. ## Instructions ### 1. Data Loading and Preparation When users provide marketing touchpoint data: - Load and validate channel interaction data - Parse customer journey paths and touchpoint sequences - Handle different data formats (CSV, JSON, Excel) - Support both user-level and session-level attribution analysis - Process timestamp data for chronological path analysis ### 2. Customer Journey Analysis - Reconstruct customer journey paths from touchpoint data - Calculate path lengths and conversion patterns - Identify common conversion paths and bottlenecks - Analyze channel sequencing and order effects - Support both online and offline channel attribution ### 3. Attribution Model Implementation - **Markov Chain Attribution**: Build transition probability matrices and calculate removal effects - **Shapley Value Attribution**: Calculate fair channel contributions using game theory - **First-Touch Attribution**: Assign full credit to the first c
- Instructions
- 1. Data Loading and Preparation
- 2. Customer Journey Analysis
- 3. Attribution Model Implementation
- 4. Channel Performance Analysis
- 5. Visualization and Reporting
- Usage Examples
- Marketing Channel Attribution
- Digital Campaign Attribution
- E-commerce Conversion Attribution
- Budget Optimization
- Key Features
- Advanced Attribution Models
- Customer Journey Analysis
What does the attribution-analysis-modeling skill do?
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill attribution-analysis-modeling-liangdabiao-claude-data-analysis-2 --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.