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:

• MMM Solution Comparison
• Questions to ask MMM Vendors
• Meta's Robyn
• Google's Meridian
• PyMC Marketing
• Uber's Orbit
• Recast
• PyMC Labs

00:00 Introduction and Greetings 00:44 Discussing the State of MMM 02:02 Exploring MMM Platforms 08:33 Quick Tangent - Baseball and Data Analytics 09:41 Comparing MMM Packages 12:23 Open Source MMM and Future Trends 25:45 The Origin of PyMC Marketing 26:54 Comparing Open Source Options 29:23 The MMM Gap: Challenges and Solutions 31:55 Triangulation and Platform Data 39:53 The Role of AI in Ad Buying 49:50 Future of MMM and Industry Trends