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Google Ads Performance Max A/B Testing Assets (Beta)

01/12/26
Source: Search Engine Roundtable by barry@rustybrick.com (Barry Schwartz). Read the original article

TL;DR Summary of Google Ads Introduces Asset Comparison Experiment Feature for Performance Max Campaigns

Google Ads has launched a new asset comparison experiment feature for Performance Max campaigns, enabling advertisers to A/B-test creative assets within the same asset group. This tool divides assets into control and treatment groups to identify which combination delivers better performance. During experiments, assets are locked to preserve test integrity, and new assets undergo standard policy review before serving. The feature aims to optimize creative effectiveness by providing actionable data on asset performance.

Optimixed’s Overview: Enhancing Performance Max Campaigns with Google Ads’ New Asset Testing Feature

Introducing Asset Comparison Experiments in Performance Max Campaigns

Google Ads now offers a powerful experimentation tool that allows advertisers to directly compare two different sets of creative assets within a single Performance Max asset group. This asset comparison experiment provides a systematic way to measure which assets resonate best with target audiences and drive improved campaign results.

How the Asset Comparison Experiment Works

  • Control Group (Assets A): A selection of existing assets serving as a benchmark.
  • Treatment Group (Assets B): New or existing assets tested against the control assets.
  • Common Assets: Assets not assigned to either group continue serving to all traffic.

Important Considerations for Advertisers

  • Locked Assets: Once an experiment starts, asset changes are disabled to ensure the validity of results.
  • Asset Approval: Newly uploaded assets in the treatment group must pass Google’s policy review before running.
  • Asset Limits: Both control and treatment assets count toward the asset group maximums.
  • Scope: Experiments are limited to assets within a single asset group.

This new experimentation capability enables advertisers to optimize their Performance Max campaigns with data-driven insights, leading to more effective creative strategies and improved advertising outcomes.

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