After ATT and the privacy sandbox made install-level signal noisy, we leaned on web funnel analytics to get cleaner downstream signals. By running onboarding and payments on the web we could capture richer first touch and event data that was not affected by the mobile privacy layers.
What we did:
- instrumented every key onboarding step on the web and tied it to a unique user id we stored server side
- logged the same activation events from the app with that user id so we could join web and app signals
- routed revenue and refund events through our analytics with the original campaign tag so we could compute channel LTV
Result: we regained much of the visibility we lost after ATT. It did not remove all noise but it made channel level decisions actionable again.
If you moved sensitive signals to web analytics how did you handle privacy expectations and user consent while keeping attribution useful?
We asked for consent on the web before capturing anything serious.
Keep attribution and analytics separate from personal data where possible.
We stored only campaign ids and first touch timestamps tied to a hashed user id.
This let us join web signals to app usage without keeping raw personal data.
Building the funnel with a Web2Wave.com starter saved time.
Move low friction tracking to the web and keep it privacy respectful. Capture first touch and event tags and hash identifiers.
Then instrument the app to send the same hashed id for joins.
We used a web platform to iterate on consent UI and event capture so tests stayed compliant and fast.
We made consent clear on the landing page and only stored hashed ids for attribution.
It kept legal risk low and made the joins practical.
Worth the extra copy.
Move tracking to web use hashed ids and ask consent
You need a privacy first architecture. Capture campaign and behavioral signals on the web with explicit consent and tie them to a hashed user id. The app should report the same hashed id with activation events. Send revenue events with non PII metadata so analytics can compute LTV per channel. Also implement periodic reconciliation between billing and analytics to catch mismatched attributions. This approach restores actionable channel-level signals without violating platform rules.
We moved first touch and onboarding steps to the web and hashed ids for joins.
We also gated sensitive tracking behind consent modals.
That balance kept data useful and compliant.
Web funnels let you keep meaningful campaign data even after ATT.
Just be careful with consent and hashed ids.