Consumer fintech app: 60% lower CAC, 2.3x D30 LTV
Rebuilt UA across SKAN-aware Meta and Google with new creative testing systems and ASO overhaul.
The challenge
A Series B consumer fintech was struggling with iOS 14.5+ attribution loss. CAC had risen 2.4x year-over-year, D30 retention was deteriorating, and the team was flying blind on what was working.
Our approach
We restructured the UA program around SKAN-native measurement, built creative production into a weekly testing cadence (24+ ad concepts/week), and ran a full ASO overhaul that lifted organic install share by 38%.
Predictive LTV models replaced last-click ROAS as the optimization target, allowing us to bid up to true incremental value rather than over-attributing remarketing.
The outcome
Result: CAC dropped 60% while D30 LTV grew 2.3x — a fundamentally more profitable acquisition engine.
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