Democratizing Marketing Mix Models (MMM) with Open Source and Gen AI

A practical system design combining Google Meridian (open-source Bayesian MMM) with Mistral 7B LLM to make marketing mix modeling accessible without proprietary vendor tools. The workflow runs Meridian on synthetic marketing data to produce channel ROI, coefficients, and response curves, then feeds the JSON output into a locally-hosted Mistral 7B model to generate plain-language business insights on channel performance and budget reallocation. Full Python code examples are provided for Google Colab, covering data preparation, model configuration with custom priors, and LLM prompt design for insight generation.