Date: 2025-10-23. Joint webinar showing how a modern data integration layer can transform Bayesian Marketing Mix Models (MMMs). From automated data ingestion and standardization with Fivetran connectors and dbt models to Bayesian inference and performance optimization with PyMC-Marketing. You will learn: unify ad and commerce data across platforms; transform standardized tables into model-ready datasets; run Bayesian MMMs with uncertainty quantification, adstock and saturation effects, and budget optimization; and scale a production-ready MMM pipeline across markets and brands. Start time: 15:00 UTC (8:00 PT / 11:00 ET / 5:00 Berlin).

A rigorous apples-to-apples benchmark between PyMC-Marketing and Google’s Meridian for Marketing Mix Modeling, covering default priors, model structures, and synthetic datasets that simulate everything from startups to global enterprises. Includes speed, accuracy, scalability comparisons and practical recommendations for choosing the MMM library.