Marketing Mix Modeling & Attribution
CommunityQuantify marketing impact and optimize budgets.
System Documentation
What problem does it solve?
Marketing teams struggle to quantify the impact of multiple channels, allocate budgets efficiently, and communicate results with credible uncertainty across stakeholders. This Skill automates end-to-end Marketing Mix Modeling and Attribution to help you measure channel contributions, calibrate priors from incrementality tests, and optimize spend under real-world constraints.
Core Features & Use Cases
- End-to-end MMM pipeline: ingest channel spend, impressions, conversions, and external factors; fit Bayesian MMM; and validate with posterior predictive checks.
- Channel attribution and contribution decomposition: separate baseline from media-driven effects and report credible intervals.
- Budget optimization and scenario analysis: optimize allocations, simulate what-if budget shifts, and propagate posterior uncertainty into decisions.
- Cross-skill integration: feeds data and results into data-extraction, experimentation, reporting, and compliance-review workflows.
Quick Start
Prepare your data in workspace/raw and run the MMM fitting script to generate channel contributions and budget recommendations.
Dependency Matrix
Required Modules
Components
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Marketing Mix Modeling & Attribution Download link: https://github.com/weisberg/agile_agentic_analytics/archive/main.zip#marketing-mix-modeling-attribution Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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