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).

Traditional budget planners chase the highest predicted return and hope for the best. Bayesian models take the opposite route: they quantify uncertainty first, then let us optimize budgets with that uncertainty fully on display. In this talk we’ll show how posterior distributions become a set of possible futures, and how risk‑aware loss functions convert those probabilities into spend decisions that balance upside with resilience. Whether you lead marketing, finance, or product, you’ll learn a principled workflow for turning probabilistic insight into capital allocation that’s both aggressive and defensible—no black‑box magic, just transparent Bayesian reasoning and disciplined risk management.