318. 8 Reasons Most UA Strategies Fail as they Scale

What this episode covers

The sharpest operators in predictive modeling, signal engineering, and post-ATT user acquisition unpack what actually breaks when campaigns scale. This is a dive deep into ROAS curves, attribution loss, modeling vs reality, SKAN-era signal decay, and why UA performance often collapses right when it looks like you’ve cracked growth. A must-read or listen for founders, growth leaders, and UA teams.links: www.kohort.io/Chapters:02:45 Understanding the ROAS Iceberg: Paid vs. Organic05:55 Incrementality Testing and Blended ROAS09:48 Gross vs. Net ROAS: The Misalignment Dilemma12:49 CPI and LTV Elasticity: Teaching Teams to Adapt16:42 The New UA Meta: Signals and User Behavior19:29Collaboration Between UA and Product Teams22:31 Evolving Strategies in LiveOps and Personalization26:05 The Evolution of Live Operations in Gaming31:05 the Single Source of Truth35:40Key Metrics for User Acquisition Success42:00Pacing Rules for Effective User Acquisition45:53The Future of Predictive ROAS and Automation

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How long is this episode of Deconstructor of Fun?

This episode is 50 minutes long.

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This episode was published on January 11, 2026.

What is this episode about?

The sharpest operators in predictive modeling, signal engineering, and post-ATT user acquisition unpack what actually breaks when campaigns scale. This is a dive deep into ROAS curves, attribution loss, modeling vs reality, SKAN-era signal decay,...

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