Artwork
iconShare
 
Manage episode 421013812 series 3466622
Content provided by Jim Gianoglio, Simon Poulton, Jim Gianoglio, and Simon Poulton. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jim Gianoglio, Simon Poulton, Jim Gianoglio, and Simon Poulton or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

How much should you be paying for Marketing Mix Modeling (MMM)? How do you make day-to-day tactical decisions when MMM isn't that granular? Should you go with open source MMM solutions, or stick with a vendor?Join Jim and Simon in this in-depth discussion about the current state and future of Marketing Mix Modeling (MMM). They cover the evolution of open-source MMM platforms like Meta's Robyn, Google's Meridian, and PyMC Marketing, and explore their pros and cons. They also discuss the implications of AI-driven ad units and the challenges they pose for measurement.

📺 ⁠⁠⁠Watch on YouTube⁠

Links from the show:

00:00 Introduction and Greetings00:44 Discussing the State of MMM02:02 Exploring MMM Platforms08:33 Quick Tangent - Baseball and Data Analytics09:41 Comparing MMM Packages12:23 Open Source MMM and Future Trends25:45 The Origin of PyMC Marketing26:54 Comparing Open Source Options29:23 The MMM Gap: Challenges and Solutions31:55 Triangulation and Platform Data39:53 The Role of AI in Ad Buying49:50 Future of MMM and Industry Trends

  continue reading

38 episodes