Android 15 ships with the Privacy Sandbox on Android, a bundle of APIs that gradually sunsets the Google Advertising ID (GAID) and the “Limit Ad Tracking” switch. Instead, measurement moves to privacy-preserving, short-lived identifiers and on-device reporting. 

New Terminology in Plain English

TermWhat It Means & Why It Matters
App Set IDA resettable identifier shared only across apps from the same Play-developer account — think “family-only” analytics.
Attribution Reporting APITwo privacy-proof report types (event-level & aggregatable) that replace GAID-based postbacks.
Protected Audience APIOn-device auctions for remarketing and custom audiences — no cross-app IDs leave the phone. 
Play Install Referrer APIA simple intent that still returns campaign info once when the app is first opened.
Firebase Analytics + BigQueryGoogle’s free event SDK plus raw-data export for advanced modelling — zero GAID required.

Seven Beginner-Friendly Tracking Tactics

  1. Switch to App Set ID for Same-Developer Insights
    What it does – Lets you see user behaviour across all of your apps without sharing data with anyone else. Great for frequency capping and fraud checks.
    How to start – Call AppSetIdClient.getAppSetInfo once; cache the ID; respect reset signals.
  2. Keep Using the Play Install Referrer for Deterministic Install Attribution
    Why it survives – The referrer string is delivered only to the installing app, so it doesn’t violate cross-app privacy.
    Quick start – Add the Play Install Referrer Library, listen for the first launch, and map utm_source, campaign
  3. Log First-Party Events with Firebase Analytics (Plus an Optional User ID)
    Good for – Click-through funnels, ad-revenue events, and in-app purchase journeys.
    Tip – If your users sign in, set setUserID once after login to stitch multi-device sessions — just avoid PII.
  4. Adopt Attribution Reporting API – Event-Level Reports
    What you get – One row per conversion with coarse conversion values (e.g., “purchase = true”). Ideal for quick ROAS sanity checks.
    Set-up – Register the ad source on click/view, then register a trigger on conversion; Google sends delayed, noise-added JSON back.
  5. Unlock Attribution Reporting API – Aggregatable Reports for Revenue Modeling
    What’s different – Higher-fidelity numbers (revenue buckets, SKUs) are summed on-device and encrypted before upload — perfect for LTV curves.
    Key step – Design 128-bit aggregation keys that map to the metrics you care about, then decrypt them server-side.
  6. Experiment with Protected Audience API for ID-Less Remarketing
    Use case – “People who added to cart but didn’t buy” without handing a device ID to 20 ad partners.
    Flow – Add users to a custom audience on the device, run the on-device Ad Selection auction, and log the winning impression.
  7. Export Firebase to BigQuery for Holistic, Server-Side Attribution
    Why bother – Mix your Firebase event firehose with aggregated Attribution-Reporting data, referrer info, and ad-network spend for MMM dashboards—no GAID needed.
    How – In Firebase Console ➜ IntegrationsBigQuery Link, then query the events_* tables.

Final Tips for a Smooth Transition

  • Ask for consent early – Even privacy-preserving APIs often require runtime user consent or declaration in your privacy policy.
  • Version-gate your code – Detect Android 15 (API level 35) and gracefully fall back on GAID pathways for older OSes.
  • Test in the Beta channel – Google Play offers a Privacy Sandbox testing track; use it to compare GAID vs. token-based reporting side-by-side before the big switch.

Android 15 doesn’t end measurement — it just rewires it. Adopting the seven tactics above will keep your attribution stack resilient, compliant, and beginner-friendly long after GAID fades away.

Contact

About Us

Legal

Privacy Policy
Terms and Conditions

Copyright @ 2025 oemad.ai inc.