Speakers: William Dean, Carlos Trujillo, Luke Alexander | 
Time: 15:00 UTC / 8:00 AM PT / 11:00 AM ET / 5:00 PM Berlin
To join the event:
- Pre-register on zoom: Webinar Registration - Zoom
Many marketing and analytics teams are looking for ways to accelerate the path from raw data to actionable insights in their Marketing Mix Models (MMMs). In this joint webinar, the PyMC Labs and Fivetran teams will demonstrate how a modern data integration layer can transform the way Bayesian MMMs are built, deployed, and maintained in production.
Building on the recent announcement of our partnership with Fivetran, this session walks through the complete MMM workflow — from automated data ingestion and standardization with Fivetran’s connectors and dbt models, to Bayesian inference and performance optimization with PyMC-Marketing.
You’ll see how combining Fivetran’s reliable data pipelines with PyMC-Marketing’s probabilistic modeling tools enables teams to go from “data everywhere” to a fully operational, transparent MMM pipeline—ready for real-world marketing measurement.
You will learn:
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Use Fivetran and dbt to unify ad and commerce data across multiple platforms
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Transform standardized tables into model-ready datasets with PyMC-Marketing loaders
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Run Bayesian MMMs with uncertainty quantification, adstock and saturation effects, and budget optimization
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Scale a repeatable, production-ready MMM pipeline across markets and brands
Join us to see how PyMC Labs and Fivetran are redefining what it means to build fast, reliable, and transparent Marketing Mix Models at scale.