SKAN vs. Sandbox: what advertisers need to know

The article provides a detailed comparison between Apple's SKAN (soon to be AdAttributionKit) and Google's Privacy Sandbox Attribution API from an ad ops perspective. It outlines their philosophical differences: Apple's SKAN is a 'black box' with limited, delayed postbacks (2, 7, 35 days) and only 6 bits for conversion data, allowing 64 possible values. In contrast, Privacy Sandbox offers 128 bits (over a billion times more data), flexible 30-day reporting windows, and two delay mechanisms (event-level reports delayed 1-30 days; aggregatable reports available within hours).

However, Sandbox introduces complexity through contribution budgets and noise for privacy, requiring careful budget allocation. Both systems obscure user identifiers (IDFA/GAID) and rely on aggregation, but Sandbox enables cross-network last-click attribution through neutral MMPs, fostering innovation. Key actionable takeaways: allocate adequate budgets to each media source to overcome privacy thresholds; avoid excessive campaign splitting; leverage an MMP for a unified single source of truth across fragmented platforms.

The article positions AppsFlyer's solutions (null modeling for SKAN, next-gen Sandbox products) as essential bridges for advertisers navigating this privacy-first era.