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APP GROWTH MODEL · Consumer mobile · Web + App · Meta + Google App

Payback pulled from 140 → 68 days.

Consumer mobile app with strong D1 retention but broken SKAN 4.0 measurement, low-LTV geos absorbing spend, and store CRO stuck. Re-engineered UA + ASO under one team.

68d
Payback (from 140d) · Illustrative
+42%
Blended install quality · Illustrative
-31%
CPI (US Tier 1) · Illustrative
+65%
Store conversion · Illustrative
CONFIDENTIALITYIllustrative. Figures show the shape of a typical engagement, not a named client result.
DIAGNOSIS

Why the account was underperforming.

SKAN conversion values mapped to install events, not revenue events - Meta and Google were optimizing to installs of low-value users. Tier 3 geos absorbing 40% of budget for 8% of revenue. Store listing static for 8 months.

OPERATING CHANGES

What actually changed.

MOVE 01

Re-engineered SKAN 4.0 values

Conversion values remapped against in-app value events - subscription, trial, purchase. Networks now optimize to revenue, not raw installs.

MOVE 02

Cut low-LTV geos

Tier 3 spend routed to Tier 1 + Tier 2 with LTV-weighted bid caps by geo.

MOVE 03

Playable creative volume

Playables + interactive end cards produced through Social Legendary. CTR uplift of +58% vs static video.

MOVE 04

App Growth integration

Store CRO paired with UA - screenshots, listing, subtitle tested against paid keyword clusters. Organic install lift funded next month's UA.

MOVE 05

Cohort-based bidding

tROAS by geo cohort on payback windows, not blended CPI ceiling.

OUTCOME

What the account looked like after.

Payback window compressed from 140 to 68 days. Blended install quality up 42% against pre-engagement cohorts. Store conversion +65% via App Growth CRO. Ad spend held flat while paid installs grew 1.8×.

AppsFlyerSKAN 4.0AmplitudeRevenueCatSplitMetrics
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