318. 8 Reasons Most UA Strategies Fail as they Scale
11 January 2026

318. 8 Reasons Most UA Strategies Fail as they Scale

Deconstructor of Fun

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, 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. Organic

05:55 Incrementality Testing and Blended ROAS

09:48 Gross vs. Net ROAS: The Misalignment Dilemma

12:49 CPI and LTV Elasticity: Teaching Teams to Adapt

16:42 The New UA Meta: Signals and User Behavior

19:29Collaboration Between UA and Product Teams

22:31 Evolving Strategies in LiveOps and Personalization

26:05 The Evolution of Live Operations in Gaming

31:05 the Single Source of Truth

35:40Key Metrics for User Acquisition Success

42:00Pacing Rules for Effective User Acquisition

45:53The Future of Predictive ROAS and Automation