Case Study: StarBerry Games achieves actionable Day 30 ROAS predictions and SKAN clarity with AppsFlyer Predict

Gaining A Game Changing Advantage Through AppsFlyer Predictive Analytics

StarBerry Games, an award‑winning mobile studio in Berlin known for Merge Mayor (over 3.3 million installs), faced major uncertainty after Apple’s SKAN removed classic attribution signals. Seeking clarity, StarBerry tested AppsFlyer tools (starting with the revenue calculator) and then adopted AppsFlyer’s predictive analytics solution (Predict) after attending an AppsFlyer webinar to address the measurement gaps SKAN created.

AppsFlyer’s Predict provided StarBerry with concrete, actionable KPIs—day‑30 ROAS, ARPU, retention and even predicted revenue figures (for example a $3,000 day‑30 revenue estimate)—so UA teams could optimize campaigns with measurable targets. Participation in the AppsFlyer beta also helped shape product improvements (including the SSoT cross‑reference and predict postbacks to partners), enabling StarBerry to reduce SKAN uncertainty, run campaigns more like they did pre‑SKAN, and make data‑driven decisions that improved ROAS and campaign assessment.

StarBerry Games

Yury Bolotkin

Marketing Director