Case Study: Holy Water boosts SKAN campaign ROAS by 30% with AppsFlyer predictive analytics

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Preview of the Holy Water Case Study

Holy Water boosts SKAN campaign ROAS by 30% with AppsFlyer

Holy Water, an algorithmic content publisher in the gaming industry, was struggling to measure user value and optimize its iOS campaigns due to data limitations imposed by Apple's SKAdNetwork (SKAN). This lack of visibility prevented them from confidently investing in user acquisition. To overcome this challenge, they turned to AppsFlyer and its predictive analytics solution, Predict.

By implementing AppsFlyer's Predict, Holy Water gained early visibility into long-term user value with predicted metrics like Day-30 ROAS. This allowed them to optimize their campaigns with confidence, leading to a 30% increase in SKAN campaign return on ad spend and a 15% increase in overall user acquisition ROI.


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