media-mix-modeling
Advanced econometric modeling for marketing effectiveness and budget optimization
npx skills add a5c-ai/babysitter --skill media-mix-modeling --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.
# Media Mix Modeling Skill ## Overview The Media Mix Modeling Skill provides advanced econometric modeling capabilities for measuring marketing effectiveness and optimizing budget allocation. This skill enables marketing mix model development, channel contribution analysis, saturation curve modeling, and scenario planning using statistical techniques and machine learning approaches including Google Lightweight MMM and custom Python/R implementations. ## Capabilities ### Marketing Mix Model Development - Bayesian model specification - Frequentist regression modeling - Time series decomposition - Variable selection and feature engineering - Model training and validation - Holdout testing and backtesting - Model diagnostics and validation - Documentation and reproducibility ### Channel Contribution Analysis - Base vs. incremental decomposition - Channel-level contribution calculation - Marginal contribution analysis - Diminishing returns identification - Channel interaction effects - Year-over-year contribution comparison - Share of contribution trending - Contribution waterfall visualization ### Saturation Curve Modeling - Diminishing returns function fitting - Hill function paramete
- Overview
- Capabilities
- Marketing Mix Model Development
- Channel Contribution Analysis
- Saturation Curve Modeling
- Adstock/Carryover Effects
- Budget Optimization Algorithms
- Scenario Planning
- Incremental Lift Calculation
- Cross-Channel Synergy Analysis
- Seasonality Adjustment
- Process Integration
- Dependencies
- Usage
What does the media-mix-modeling skill do?
Advanced econometric modeling for marketing effectiveness and budget optimization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill media-mix-modeling --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 a5c-ai/babysitter, a repository with 1,642 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.