Efficient Spend Podcast: AI Visitor Scoring for a Future without Cookies
In a recent episode of The Efficient Spend Podcast, Constantine Yurevich, Founder and CEO at SegmentStream, joined host Paul to discuss the evolving challenges of marketing measurement and attribution.

“In this episode of The Efficient Spend Podcast, Constantine Yurevich, Founder and Chief Storyteller of SegmentStream shares the challenges in marketing measurement and innovative approaches to attribution and optimization”
— Paul, The Efficient Spend Podcast
In a recent episode of The Efficient Spend Podcast, Constantine Yurevich, Founder and Chief Storyteller at SegmentStream, joined host Paul to discuss the evolving challenges of marketing measurement and attribution.
The conversation explores why traditional attribution models often fall short, how AI-powered visitor scoring can provide a more accurate view of campaign performance, and what brands can do to navigate today’s complex digital marketing landscape.
Key Topics Covered:
- The limitations of legacy attribution models and why they no longer work
- How AI-driven visitor scoring helps marketers make better budget decisions
- Practical strategies for optimizing marketing spend in a privacy-first world
About the Host
Paul is a paid marketing leader with 7+ years of experience helping venture-backed startups optimize their marketing spend. He has driven over $100 million in revenue through paid media and focuses on helping brands allocate their budgets effectively.
About the Guest
Constantine Yurevich is the Founder and Chief Storyteller at SegmentStream, an AI-powered platform designed to help marketers move beyond outdated attribution methods and make smarter, data-driven decisions. With over six years of experience building innovative marketing analytics solutions, Constantine specializes in leveraging machine learning to solve modern measurement challenges.
Listen to the full episode for insights on the future of marketing measurement and how AI is reshaping the way brands approach attribution and optimization.
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