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

Summary

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.

Analyst Note

What’s notable here is the convergence of two major ad platforms around a privacy-preserving attribution model that leans heavily on probabilistic signals—a clear industry signal that deterministic-only measurement is no longer viable post-ATT. The fact that Google and AppsFlyer are jointly validating conversion data through a dedicated mechanism addresses a long-standing pain point for UA managers: the opacity of SKAN-reported conversions and the resulting inability to optimize Google iOS campaigns with confidence. By leveraging on-device event data and AppsFlyer’s ecosystem visibility, this integration effectively bridges attribution gaps that were left by Apple’s framework, particularly for users who were previously unattributable.

The key implication for ad ops professionals is that probabilistic modeling, combined with cross-platform validation, can now deliver granular, deduplicated reporting within the same dashboard as other networks—something that was missing for iOS. This measurably reduces the guesswork in budget allocation between iOS and Android, and within iOS itself across ad networks. On a practical level, the solution requires SDK updates but promises immediate uplift in attributed installs and in-app events.

It also underscores a broader trend: as privacy shifts continue to fragment identifiers, aggregated and modeled attribution will become the backbone of mobile measurement, with platform partnerships like this one setting the template for how data integrity is maintained without compromising user privacy.