Mobile growth after privacy: stop chasing perfect attribution, build a signal system

Original article (source): Mobile Growth Association - “Rethinking Mobile Growth Under Privacy and Platform Constraints”

• https://mobilegrowthassociation.com/rethinking-mobile-growth-under-privacy-and-platform-constraints/

The useful idea

Their framing is simple and correct: privacy changes did not kill visibility, they changed where certainty lives.

You can still grow, but you do it by building confidence from:

• aggregated platform signals,
• first-party data,
• cohorts,
• and experiments that answer “what’s incremental?”.

Three shifts they call out (condensed)

1. From attribution to inference Deterministic, user-level “this click caused that conversion” has become fragile. The growth job becomes: find actions that consistently move the business.

2. From tools to systems Measurement becomes infrastructure: reconcile multiple sources daily, so the team stops debating numbers and starts making decisions.

3. From saturation to expansion As mature markets get noisier and harder to measure cleanly, some growth reappears in less-over-optimized markets and channels (with a tradeoff: operational complexity).

What I’d borrow for an ASM-style workflow

• Put one cohort retention / revenue metric next to acquisition spend in the weekly ritual.
• Keep an explicit incrementality backlog (even 1 test per month) so “platform-reported ROAS” stops being the only truth.
• Treat your event taxonomy and data reconciliation as product work, not analytics housekeeping.

Tiny win

This week, build a “triangle view” of performance for one channel:

• platform reporting,
• backend revenue (or subscription events),
• and cohort retention.

If they disagree, write down why. That document becomes your roadmap.

Read the original: https://mobilegrowthassociation.com/rethinking-mobile-growth-under-privacy-and-platform-constraints/