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Google Ads · Status at source date: Newsletter archive

Google Ads API v24.1 ships with AI Max experiments, classic display images, and passkey support

Written by Paid Media Collective
IN BRIEF

Google has released Google Ads API v24.1 on 13 May, with five practitioner-relevant additions. Mobile Device Platform segmentation lets queries segment campaign and customer reports by iOS or Android: a feature previously requiring workarounds for bid adjustments and OS-level performance analysis.

Google Ads: Google Ads API v24.1 ships with AI Max experiments, classic display images, and passkey support
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This update uses a PMC cover because no suitable source image was available when checked on 8 Sept 2026. Available source and video links are retained.

What changed

Classic display images in Demand Gen: the API hook for the Demand Gen uploaded-banner support, flagged in Week 19 by Thomas Eccel and Dario Zannoni, is now available. Advertisers can now upload static image ads via the classic_display_images field of DemandGenMultiAssetAd to serve unmodified on the Google Display Network from inside Demand Gen.

Revamped Experiments now support AI Max experiments, Video experiments, Demand Gen experiments, and Performance Max experiments: letting advertisers programmatically A/B-test across the campaign types that previously required the UI. Georgi Zayakov and Arpan Banerjee both flag the addition of experiments as the headline shift, with Arpan calling out direct arm-level reporting (clicks, conversions, impressions per experimental arm) as a meaningful improvement over the previous API surface. Passkey support fields indicate whether a given user has Passkey enabled, aligning with the 15 July enforcement deadline covered in Week 19. New data retention error codes support the 1 June 37-month retention change.

THE COLLECTIVE PERSPECTIVE

Why it matters for advertisers

For you, this means that engineering and measurement teams using the Google Ads API should plan a v24.1 upgrade as a sprint priority. Particularly relevant for teams running scaled A/B testing across PMax or AI Max: the programmatic surface now matches the UI, eliminating the parallel manual workflow that has held back experimentation cadence.

Perspective from the original PMC newsletter.

Sources & contributor credit

  1. Newsletter coverage · Paid Media Collective newsletter

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  2. Source referenced in newsletterGoogle Ads Developer Blog

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Original newsletter text and archive evidence

Google Ads API v24.1 ships with AI Max experiments, classic display images, and passkey support

Google has released Google Ads API v24.1 on 13 May, with five practitioner-relevant additions. Mobile Device Platform segmentation lets queries segment campaign and customer reports by iOS or Android: a feature previously requiring workarounds for bid adjustments and OS-level performance analysis. Classic display images in Demand Gen: the API hook for the Demand Gen uploaded-banner support, flagged in Week 19 by Thomas Eccel and Dario Zannoni, is now available. Advertisers can now upload static image ads via the classic_display_images field of DemandGenMultiAssetAd to serve unmodified on the Google Display Network from inside Demand Gen.

Revamped Experiments now support AI Max experiments, Video experiments, Demand Gen experiments, and Performance Max experiments: letting advertisers programmatically A/B-test across the campaign types that previously required the UI. Georgi Zayakov and Arpan Banerjee both flag the addition of experiments as the headline shift, with Arpan calling out direct arm-level reporting (clicks, conversions, impressions per experimental arm) as a meaningful improvement over the previous API surface. Passkey support fields indicate whether a given user has Passkey enabled, aligning with the 15 July enforcement deadline covered in Week 19. New data retention error codes support the 1 June 37-month retention change.

For you, this means that engineering and measurement teams using the Google Ads API should plan a v24.1 upgrade as a sprint priority. Particularly relevant for teams running scaled A/B testing across PMax or AI Max: the programmatic surface now matches the UI, eliminating the parallel manual workflow that has held back experimentation cadence.

Source captured . No explicit first-contributor label was provided for this update.

Newsletter coverage (1)📰 🦸‍♂️ Paid Media News (Week 20) 🦸♀️ · 18 May 2026