In this episode of Deconstructing Data, hosts David Finkelstein and Jessie Lizak sit down with Michael Kaminsky, Founder of Recast, to explore why modern marketing measurement requires more than dashboards and attribution models. Drawing from his experience building advanced marketing measurement solutions, Michael explains how businesses can validate their data, embrace experimentation, and make more confident decisions in an increasingly privacy-focused digital landscape. He also shares why marketers need to rethink traditional performance metrics as AI continues to reshape the industry.
The conversation explores why measurement models often fail without real-world data validation, how AI and controlled experimentation can improve marketing performance, and why first-party data has become one of the most valuable assets for brands navigating a privacy-first future. Michael also shares the technologies and tools that power Recast's approach to marketing measurement, offering a behind-the-scenes look at the tech stack his team uses to help organizations make smarter investment decisions. Whether you're a marketer, data analyst, agency leader, or business executive, this episode provides actionable insights into building more accurate, resilient, and effective measurement strategies.
Main Topics Covered
Why Measurement Models Fail Without Real Data Validation
Using AI and Experimentation to Improve Marketing Performance
Building First-Party Data Strategies in a Privacy-First World
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