Unlock Performance Max Potential with A/B Asset Testing

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Google has rolled out a new Beta feature that allows us, Performance Max advertisers, to A/B test asset sets. This expansion takes last year’s retail experiment to an exciting new level, now available for all campaigns.

With this update, I can compare two sets of assets while keeping the ‘common assets’ steady across both versions. By accessing the Experiments page under the Assets sub-menu, I can determine which creative combinations yield the best results.

I saw a similar experiment rolled out for retail campaigns last year, and I’m thrilled to see it expand to all Performance Max campaigns.

Why it matters to me. Performance Max campaigns rely heavily on automation, often making it difficult for me to test specific creative assets. This new capability gives us more control over asset-level performance without compromising the integrity of the entire campaign.

The big picture. From my perspective, tests must run for at least four weeks to consider the learning phase of P-Max and ad delivery stabilization. While the results aren’t immediate, they’ll allow me to make more informed choices about which images, headlines, and videos drive engagement.

Between the lines. Asset-level A/B testing could be a pivotal factor in enhancing my Performance Max ROI, particularly when managing diverse creative and asset formats.

First seen. This update caught my attention when web marketer Dario Zannoni highlighted it on LinkedIn.

The bottom line. Although still in Beta, this experiment type offers a new degree of transparency and control over automated campaigns, potentially transforming how I approach asset strategies in Performance Max.

Dig deeper. For more insights on this feature, check out About Performance Max optimization experiments: A/B testing assets (Beta).


Inspired by this post on Search Engine Land.


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FAQs

What is the new Beta feature for Performance Max?

A/B testing of asset sets in Performance Max campaigns (Beta). This feature lets advertisers compare two asset sets while keeping common assets steady.

Where do you access the asset tests?

Tests are run from the Experiments page under the Assets sub-menu. This page helps determine which creative combinations yield the best results.

How long should tests run?

Tests should run for at least four weeks to account for the learning phase and ad delivery stabilization. This helps ensure reliable results.

What is the significance of asset-level testing?

Asset-level testing provides more control over asset performance without compromising the overall campaign.

Who highlighted this on LinkedIn?

Dario Zannoni highlighted it on LinkedIn.

Where can I learn more about the feature?

Check out About Performance Max optimization experiments: A/B testing assets (Beta).

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