How do you build an end-to-end #MMM leaders can trust?

Our new case study shows a transparent, reproducible #Bayesian workflow with uncertainty, lift, forecasting, and budget simulation.

Check the Case study here 👉 dub.link/FwwUUNA

#MarketingMixModeling #PyMCLabs

The countdown has started!

Join us this Thursday, Oct 23 to learn how to build production-ready Marketing Mix Models (MMMs) with fivetran + PyMC-Marketing.

🔗 Register: dub.link/u4MM50H

#MarketingAnalytics #MMM #BayesianModeling #Fivetran #PyMCLabs

Join PyMC Labs & Fivetran to see a complete end-to-end Bayesian #MMM pipeline in action.

Automate data ingestion, prepare model-ready datasets, and run Bayesian inference .. all in one seamless workflow.

Register: dub.link/u4MM50H

#MarketingScience #PyMCLabs

✍️ Writing a PyMC model isn’t easy — even for pros.

So we built ModelCraft — an AI modeling agent that writes PyMC code and checks it before you ever see it.

✅ No shape errors
✅ No hallucinated functions
✅ Just clean, working Bayesian models

📄 Full write-up: dub.link/6frGLdT

#genai #pymclabs

🚀 CausalPy just hit 1,000+ ⭐ on GitHub — and crossed 120K downloads!

When A/B tests stop, CausalPy starts.

Bayesian. Interpretable. Open-source.

Huge thanks to everyone who’s contributed to the project.
👉Checkout CausalPy: dub.link/causalpy

#CausalPy #PyMCLabs #OpenSource #Bayesian #DataScience