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Measure ad effectiveness with privacy-preserving attribution using AdAttributionKit.
Passed 22 of 22 test cases with the skill, and 13 of 22 without it.
and 9 more in the full report
9 fixed13 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When an ad network constructs a compact JWS payload for a campaign intended to re-engage existing app users, what specific field must be set in the payload JSON?
| Checked | Without skill | With skill |
|---|---|---|
| Sets eligible-for-re-engagement to true within the JWS payload | Missed | Passed |
The instructions your model reads when the skill loads.
Privacy-preserving ad attribution for iOS 17.4+. AdAttributionKit lets ad networks measure conversions (installs and re-engagements) without exposing user-level data. It supports the App Store and alternative marketplaces, and interoperates with SKAdNetwork.
Three roles exist in the attribution flow: the ad network (signs impressions, receives postbacks), the publisher app (displays ads), and the advertised app (the app being promoted).
AdAttributionKit preserves user privacy through several mechanisms:
In migration and interoperability reviews, explicitly state that the system evaluates AdAttributionKit and SKAdNetwork impressions together, only one
test cases passed, vs 13 / 22 without
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