gaming · Customer outcome
The starting point, work, and retained outcome record from an anonymized Lemon AI engagement.
Android, iOS
NA, LatAm, Europe
Google Ads, Meta Ads, Unity Ads
$55k+ monthly
Evidence note: The customer identity is withheld. The operating context, actions, and outcome figures are retained from Lemon AI’s previously published case record and were approved for this migration. Results describe this engagement and are not a promise of identical performance for another app or market.
Operating context
550K+ installs
90K+ MAU
Starting point
- The team could not reliably find users likely to stay and make in-app purchases
Goal
- Raise ROAS
- Cut CAC
What Lemon AI did
- Connected Adjust, Firebase, and devtodev data for installs, purchases, session length, and engagement
- Predicted Top 10% and Top 50% players by LTV, launched several campaigns
- Set the budget mix for North America, Europe, and LatAm at 54%:32%:14%
Measured results
| Outcome | Result |
|---|---|
| LTV on Day 30 | Android +31% · iOS +24% |
| Retention on Day 14 | Android +24% · iOS +18% |
| Ad revenue | Android +28% · iOS +16,5% |
How to interpret the result
The outcome should be read in the scope shown above: its platforms, region, acquisition sources, budget band, objectives, and measurement period. The result does not isolate a universal causal effect and should not be compared with another case without aligning its metric definition and time horizon.
Read the measurement and forecasting methodology for source, attribution, aggregation, reconstruction, and prediction limitations.
Next step
See the same workflow with your data
Bring one app and its acquisition questions to a product walkthrough.