Learning Bayesian Statistics

#126 MMM, CLV & Bayesian Marketing Analytics, with Will Dean

Feb 19, 2025
Guest
Will Dean
Join Will Dean, a statistician and data scientist at PyMC Labs, as he dives into the world of Bayesian marketing analytics. He shares insights on leveraging customer lifetime value (CLV) and media mix modeling to optimize marketing strategies. The discussion highlights the significance of productionizing models and the challenges that come with it, including version control and model management. With a focus on open-source collaboration, Will emphasizes the importance of continuous learning and innovative approaches to empower marketers with actionable data.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

Media Mix Modeling

  • Media Mix Modeling (MMM) helps analyze marketing spend allocation over time, considering saturation and ad stock effects.
  • It's a time series regression model with custom inverse link functions to capture non-linearities.
ADVICE

Productionizing PyMC Models

  • Productionizing PyMC models involves storing model artifacts and reconstructing the model graph.
  • This allows versioning and code changes while preserving the model's state for later use.
INSIGHT

Customer Lifetime Value Models

  • Customer Lifetime Value (CLV) models analyze customer behavior, including purchase frequency, spending, and churn prediction.
  • They help understand customer profiles and predict future behavior based on various factors like subscriptions.
Get the Snipd Podcast app to discover more snips from this episode
Get the app