Case Study: Holy Water achieves 30% increase in SKAN campaign ROAS with AppsFlyer Predict

Boosting SKAN campaign ROAS by 30% with predictive analytics

Holy Water, an algorithmic content publisher behind apps like My Fantasy, was struggling to grow on iOS because Apple’s SKAdNetwork (SKAN) measurement limits left the team without clear visibility into user value. To overcome this, Holy Water worked with AppsFlyer and adopted Predict, AppsFlyer’s predictive analytics solution, to get earlier and more actionable insights for their iOS user acquisition.

Using AppsFlyer Predict’s Day‑30 predictions for ROAS, ARPU, paying users and retention, Holy Water integrated the insights into daily UA decision-making and value-optimization campaigns. The result was a 30% increase in SKAN campaign ROAS, an estimated 15% lift in user acquisition ROI, and a 57% increase in SKAN activity in the first month after onboarding Predict.

Holy Water

Bogdan Nesvit

Chief Executive Officer