In this conversation, Tim and Emmy-Award Winning Media Researcher, Bill Harvey, Founder/Chairman at Research Measurement Technologies, Inc., unpack the evolution of addressable TV advertising technology, focusing on the development of driver tags and their impact on recommendation engines. Bill shares insights from his early work in the industry, the creation of a system that distilled a million words into 265 driver tags, became the concept of 'Resonance' (vs Attention), and how these tags have proven to be more effective than other traditional attention metrics in predicting sales outcomes.
The discussion covers the integration of resonance in digital advertising, the relationship between resonance and physical context, and the future of addressability and AI in advertising.
Takeaways
Driver tags were developed to empirically deduce behavioral drivers.
Driver tags have shown to be more effective than attention metrics in predicting sales.
Privacy can be maintained while optimizing marketing strategies through data clean rooms (DCRs).
Resonance drives Attention and can maintain interest in ads themselves.
Bill's literary pursuits reflect his lifelong interest in consciousness, improving the world, and using advertising as a vehicle for positive impact.
Chapters
00:00 Introduction and Upcoming Events
01:25 The Genesis of Driver Tags
12:47 Evolution of Recommendation Engines
17:41 Effectiveness of Driver Tags vs. Attention
30:30 Integrating Resonance in Digital Advertising
33:26 Resonance and Physical Context in Advertising
38:43 The Future of Addressability and AI in Advertising
43:22 Creative Challenges and AI Solutions
47:17 Bill's Literary Pursuits and Motivations
Connect with Bill and learn more about his work here:
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