Case Study: Papaya Gaming achieves a 114% increase in ROI and an 83% decrease in CPI with AppsFlyer Revenue Recommendations

A AppsFlyer Case Study

Preview of the Papaya Gaming Case Study

Utilizing AppsFlyer Revenue Recommendations to optimize SKAN campaigns and drive ROI

Papaya Gaming, a fast-growing mobile games company known for skill‑based real‑money titles like Solitaire and Bubbles (17M+ downloads), faced major disruption after Apple’s iOS 14 privacy changes. The team relied on self‑reporting networks and struggled with SKAdNetwork reporting, very high CPI, and a large share of nulled conversion values, so they turned to AppsFlyer — initially using Conversion Studio and later testing AppsFlyer’s Revenue Recommendations feature — to help reshape their conversion value schemas and measurement approach.

AppsFlyer analyzed Papaya’s LTV and in‑app revenue data and used Conversion Studio’s custom mode plus Revenue Recommendations to recommend and deploy optimized conversion value schemas. The impact was immediate: Papaya saw a 114% increase in ROI and an 83% decrease in CPI, moved from short-lived campaigns to sustainable ones, scaled the feature to all iOS apps, and reduced needed conversion values from 63 to 30 (freeing 1 bit for AppsFlyer’s SSOT).


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Papaya Gaming

Uri Pearl

Head of Marketing


AppsFlyer

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