Summary
The conversation revolves around data measurement and mixed media modeling. The guests, John Snow and Michael True, discuss their background and how they got into the field of AI and machine learning. They talk about their journey in developing a model to predict where artists should tour and how COVID-19 shifted their focus to music streaming. They explain the importance of accurate measurement in the music industry and the challenges of measuring the impact of marketing spend. They introduce Prescient, their solution that helps measure the impact of top-of-funnel marketing channels on bottom-of-funnel results. They differentiate between multi-touch attribution (MTA) and mixed media modeling (MMM), highlighting the limitations of deterministic attribution and the benefits of probabilistic attribution. The conversation explores the concept of deterministic attribution and its limitations, as well as the importance of understanding the halo effect in marketing. The guests discuss the value of probabilistic attribution and how it can provide insights into the impact of different marketing channels. They also touch on the role of influencers and the potential for measuring their halo effect. The conversation concludes with a discussion on the importance of knowing your customer and using data to make informed decisions.
Takeaways
Chapters
00:00 Introduction and Background
02:14 The Journey to Mixed Media Modeling
04:35 The Importance of Measurement in the Music Industry
07:46 Predicting Billboard Success with Mixed Media Modeling
10:02 Meeting People Where the Puck's Going to Go
15:10 Introducing Prescient: Measuring Top-of-Funnel Channels
16:08 Understanding the Difference Between MTA and MMM
22:15 The Limitations of Deterministic Attribution
23:43 Uncovering the Halo Effect in Marketing
29:37 The Role of Influencers in Driving Sales
32:29 Knowing Your Customer for Effective Marketing
35:45 Data-Driven Decision-Making in Marketing