Redefining ATT opt-in measurement: Setting the standard for data accuracy

Summary

Apple's App Tracking Transparency (ATT) framework, introduced in 2021, transformed digital measurement by making user tracking opt-in, reducing user-level data availability. Despite challenges, opt-in rates have been higher than expected. AppsFlyer has invested in a refined methodology to accurately measure opt-in rates, focusing on user experience and prompt timing.

The methodology categorizes users into those who see the prompt (including scenarios where prompt appears before or after SDK initialization) and those who don't due to system-level restrictions (LAT, children). Key data points: opt-in rate is 40% among users who actually see the prompt, dropping to 30% when including restricted users. Notably, opt-in rates are higher when the prompt appears after user engagement (45%) compared to before SDK initialization (36%), likely due to trust building over time.

AppsFlyer excludes restricted users (estimated 10-12% actively deny at system level) from standard calculation, as they were always excluded pre-ATT. Accurate measurement is essential for marketers to model non-consenting cohorts and allocate budgets effectively. Actionable takeaway: marketers should consider prompt timing to maximize opt-in, and rely on precise opt-in benchmarks for data-driven decisions.