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Google launches Performance Max A/B testing for assets [Beta]

Written by Paid Media Collective
IN BRIEF

Google has released A/B testing for assets within Performance Max campaigns. You can now test two different creative sets (A vs B) inside the same asset group while keeping shared assets running in parallel.

Original newsletter image: Google launches Performance Max A/B testing for assets [Beta]
Via the Paid Media Collective newsletter. Original visual creator unverified.View full-size image
Original newsletter image: Google launches Performance Max A/B testing for assets [Beta]
Via the Paid Media Collective newsletter. Original visual creator unverified.View full-size image

What changed

This brings controlled creative experimentation to a campaign type that previously relied entirely on algorithmic asset selection. Best used when campaigns have stable volume, the learning phase is complete, and tracking is clean.

THE COLLECTIVE PERSPECTIVE

Why it matters for advertisers

For you, this means intentional creative testing in PMax rather than hoping the algorithm figures it out.

Perspective from the original PMC newsletter.

Sources & contributor credit

  1. Newsletter coverage · Paid Media Collective newsletter

    Original newsletter text, contributor labels and media for this update.

  2. Source referenced in newsletterLinkedIn

    Linked from the original newsletter. The source publication date has not been independently confirmed.

  3. Newsletter coverage · Paid Media Collective newsletter

    Original newsletter text, contributor labels and media for this update.

  4. Source referenced in newsletterLinkedIn

    Linked from the original newsletter. The source publication date has not been independently confirmed.

Original creator unverified

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Attribution evidence and limitations

Full attribution review pending.

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Original newsletter text and archive evidence

Google launches Performance Max A/B testing for assets [Beta]

Google has released A/B testing for assets within Performance Max campaigns. You can now test two different creative sets (A vs B) inside the same asset group while keeping shared assets running in parallel. This brings controlled creative experimentation to a campaign type that previously relied entirely on algorithmic asset selection. Best used when campaigns have stable volume, the learning phase is complete, and tracking is clean. For you, this means intentional creative testing in PMax rather than hoping the algorithm figures it out.

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

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