Marketecture: Get Smart. Fast.
Episode 109: MMMbop with Ron Jacobson plus StackAdapt's huge funding round
Feb 7, 2025
Ron Jacobson, CEO of Rockerbox, shares expert insights on Media Mix Modeling and its adoption by giants like Google and Meta. He dives into the complexities of advertising measurement and discusses the critical need for systematic analytics approaches. Additionally, the conversation highlights recent massive funding rounds in ad tech, particularly StackAdapt's impressive $235 million boost and its implications for the industry. The podcast also touches on the evolving challenges in digital advertising and retail media.
45:32
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Media Mix Modeling has gained traction among advertisers due to its strategic importance in optimizing campaigns amidst evolving methodologies and measurement needs.
- The rise of open-source models from Google and Meta is reshaping the advertising measurement landscape, posing both opportunities and challenges for brands in data integration and strategy execution.
Deep dives
Current Trends in Advertising Measurement
The landscape of advertising measurement is experiencing significant shifts, primarily focusing on three main areas: methodologies, usage, and integration. The ongoing debate regarding methodologies such as media mix modeling, incrementality testing, and multi-touch attribution highlights the complexity of choosing the appropriate approach for different advertising needs. Many advertisers often gravitate toward trending methodologies without fully understanding their application, leading to confusion about how to operationalize these methods effectively. The integration of attribution results into ad buying platforms is becoming increasingly important as brands seek to optimize their marketing strategies based on accurate data.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
