Sources: Meta, Snap, and other iOS developers continue to collect anonymized and aggregated data on users for targeted ads, despite Apple's ATT changes
Group's unacknowledged shift lets companies follow a looser interpretation of its privacy rules — Apple has allowed app developers …
Context & Ripple Effects
ATT's rollout had already exposed a gap between an opt-out control and app data flows: researchers found apps still sending identifying information to third parties after users opted out, while Snap said it would end probabilistic matching for iOS users.
The new report suggests the contest has moved to how Apple defines permitted anonymized and aggregated data. That matters because Apple's own advertising settings had a different default posture from the permission requirements imposed on other advertisers.
First-order effects
- Meta, Snap, and other iOS developers retain a route to use anonymized, aggregated user data for ad targeting under the looser interpretation described by the report.
- Apple's ATT regime faces a practical enforcement boundary: opt-out status does not by itself settle which non-IDFA data collection and targeting practices are permissible.
Second-order effects
- Developers and ad-tech partners have an incentive to design targeting systems around aggregated inputs rather than device-level identifiers, especially after researchers documented post-opt-out data sharing in popular apps.
- The distinction between Apple's advertising defaults and third-party tracking rules becomes less commercially decisive if developers can preserve useful targeting through data Apple treats as outside ATT's core restriction.
Third-order effects
- If this interpretation persists, mobile privacy competition will turn less on eliminating data collection than on governance of data classification, aggregation, and downstream sharing.
- ATT may evolve into a compliance boundary defined by technical implementation rather than a simple user-consent switch, increasing the importance of auditable app and SDK data practices.
The trend: Mobile ad targeting is shifting from explicit cross-app identifiers toward aggregated and probabilistic data practices that sit closer to platform privacy-rule boundaries.