google/meridian

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1511 stars · 286 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Meridian is Google's open-source marketing mix modeling (MMM) framework built on Bayesian causal inference, letting advertisers run in-house models to measure channel impact and ROI. It supports geo-level and national data, experiment calibration, reach/frequency optimization, and budget allocation guidance.

Use cases

• measure marketing ROI across channels
• optimize marketing budget allocation
• run in-house marketing mix modeling
• calibrate MMM with experiments
• model reach and frequency for video planning
• analyze how marketing channels drive revenue or KPIs

When to choose

• you need privacy-safe, aggregated-data marketing measurement without user-level data
• you want a customizable Bayesian MMM with GPU-accelerated large-scale geo modeling
• you're migrating from LightweightMMM
• you need budget optimization and experiment calibration in one framework

When to avoid

• you need real-time or user-level attribution rather than aggregated MMM
• you lack Python 3.11-3.13 and ideally a GPU
• you want a fully managed turnkey solution rather than a modeling framework

Facets

library · maturity active

machine-learning data-science analytics data-visualization data-science analytics artificial-intelligence python marketing-mix-modeling bayesian-inference budget-optimization causal-inference privacy-safe-measurement marketing linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/meridian")