Google Ads tests A/B experiments for Shopping ad product data
Google Ads is testing A/B experiments for Shopping Ads, letting advertisers compare product titles/images to see what performs better.
Google Ads is running a limited test that allows some advertisers to A/B test different product titles and images within Shopping Ads. The feature appears as “product data experiments” and promises results within three to four weeks.
Who gets it. The test is currently live for a small number of merchants, according to Google Ads Liaison Ginny Marvin. Broader availability is expected later.
Why we care. Product titles and images can make or break Shopping ad performance, but advertisers have had limited ways to test changes without risking live results. This update could bring much-needed experimentation to product feeds.
What it does. Advertisers can compare variations of product titles and images to see which combinations drive more sales, without fully committing changes across their entire feed.
Context. The feature was teased at Google Marketing Live last year and follows recent tests that allow A/B experiments in some Performance Max campaigns — signaling a broader push toward experimentation across automated formats.
Big picture. As Google Ads leans further into automation, controlled testing tools like this help advertisers regain insight into what actually drives performance, especially in Shopping and feed-based campaigns.
Credit. Founder of Take Some Risks Duane Brown shared a screenshot he saw in a Slack group he is a member of on LinkedIn.
What to watch. If rolled out widely, product data experiments could become a core optimization lever for Shopping Ads — and a long-requested upgrade for advertisers focused on feed performance.
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