AppsFlyerAppsFlyer

Growth unlocked: AppsFlyer and Google uncover the true impact of Google Ads

By Benjamin Cole·Nov 25, 2025·3 min read

In a privacy-centric mobile landscape, accurate iOS attribution remains a top challenge for advertisers. AppsFlyer and Google have partnered to introduce a joint solution based on Google's Integrated Conversion Measurement (ICM). This beta offering is available to all advertisers and aims to recover critical signals previously lost due to ATT and other privacy restrictions.

The solution combines AppsFlyer's attribution infrastructure with Google's on-device conversion measurement, enabling probabilistic attribution for users without identifiers. Key pillars include enhanced coverage, privacy preservation, validation through AppsFlyer's proprietary algorithms, and signal capture for optimization. The integration appears within AppsFlyer's Single Source of Truth dashboard, offering deduplicated, real-time, and granular attribution across networks.

Validation is a cornerstone: AppsFlyer assesses every signal, filtering out noise and improving modeling accuracy. Early results are striking: Zutobi, a driver's education app, saw a 138x increase in attributed installs, 50x more subscriptions, and a 97% reduction in cost per install after implementing ICM. These outcomes demonstrate that probabilistic modeling effectively bridges attribution gaps, with some iOS apps experiencing a 100-150% increase in Google-attributed installs.

For ad ops decision-makers, the actionable takeaway is to allocate development resources to update both the AppsFlyer and Google Analytics for Firebase SDKs. The payoff is immediate: a unified, privacy-compliant measurement framework that restores visibility into iOS campaign performance, enabling smarter budget allocation and optimization. As privacy shifts also affect Android, aggregated and modeled attribution become increasingly important across the ecosystem.

Advertisers adopting this solution now will gain a competitive edge, turning privacy constraints into an opportunity for more accurate, data-driven growth.

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