Apple's privacy-preserving framework that attributes iOS app installs to campaigns in aggregate, without identifying individual users, replacing IDFA-based tracking after ATT.

Why is SKAdNetwork data delayed and limited?

By design — postbacks use timer windows and aggregation, and privacy thresholds can withhold or add noise to small-campaign results to protect users.

ATT is the prompt that limits user-level tracking; SKAdNetwork is the aggregate attribution framework that measures installs within those privacy limits.

Growth Marketing Glossary

SKAdNetwork

SKAdNetworkproper noun

Attribution after the IDFA went dark — aggregate, delayed, and deliberately fuzzy.

Schematic — SKAdNetwork aggregate attribution

Owner: Apple
Purpose: privacy-safe install attribution
Granularity: aggregate, not per-user
Pairs with: ATT, SKAN 4

Forms & parts of speech

SKAdNetwork · proper noun

Apple's aggregate, privacy-preserving app-install attribution framework.

"SKAdNetwork tells us the campaign drove installs, but not which user."

What it does

SKAdNetwork, often shortened to SKAN, is Apple's system for crediting app installs to the ad campaign that drove them without revealing who the user is. The device and Apple validate and aggregate the signal.

It exists because App Tracking Transparency cut off the user-level identifier most attribution relied on. SKAdNetwork restores a measurable, if coarser, link between ad spend and installs on iOS.

Its trade-offs

The privacy protections come at a cost to precision. Conversion data is limited, postbacks are delayed and use timer windows, and small campaigns can have results withheld or made noisy to prevent identifying individuals.

Newer versions add more granular and multiple postbacks, but SKAN remains aggregate by design. Marketers treat it as the source of truth for iOS install attribution while leaning on modelled and first-party signals for the rest.

Worked example. Suppose two iOS campaigns run in parallel. Pre-ATT, an advertiser could see exactly which user each install came from; now SKAdNetwork reports that one campaign drove a batch of installs and the other fewer, in aggregate, after a delay.

The advertiser can still decide which campaign to scale — but cannot rebuild a per-user funnel from the data. Planning around aggregate, delayed signal rather than precise user paths is the core adaptation SKAN forces.

Failure modes to watch. Expecting user-level precision from an aggregate framework; ignoring postback delays when judging campaigns too quickly; and overlooking privacy thresholds that withhold data on small campaigns.

Benchmarks

SKAN reporting is aggregate and version-dependent, not a benchmarked rate. Use it as the iOS install-attribution source and supplement with modelled and first-party signals.

Granularity

aggregate

Timing

delayed postbacks

Small campaigns

data may be withheld

Ranges are illustrative; every published figure is cited from a named public source or labelled “RGM analysis.”

Synonyms & antonyms

Synonyms

SKANStoreKit Ad Network

Antonyms

IDFA

Usage trends

Search interest for this term over the last five years:

View interest-over-time on Google Trends →

Common questions

What is SKAdNetwork?: Apple's privacy-preserving framework that attributes iOS app installs to campaigns in aggregate, without identifying individual users, replacing IDFA-based tracking after ATT.
Why is SKAdNetwork data delayed and limited?: By design — postbacks use timer windows and aggregation, and privacy thresholds can withhold or add noise to small-campaign results to protect users.
SKAdNetwork vs ATT?: ATT is the prompt that limits user-level tracking; SKAdNetwork is the aggregate attribution framework that measures installs within those privacy limits.

Related tools & calculators

toolCAC calculator
toolRGM benchmarks compendium

Resources & people to follow

referenceApple — SKAdNetwork (developer.apple.com)
referenceAppsFlyer — SKAN measurement guides

Curated, non-competitor resources verified per term.

Sources

trendsGoogle Trends — "skadnetwork"