A/B test your product title and images in your shopping feed. This got teased at Google Marketing Live 2025 but I some how missed it this year.

This is a pretty big update as it has been the one ask everyone from business owners to marketers to agency side people have been wanting to do. Even clients have been asking if they can takes two images against each other.

Right now, product data experiments are only available to a small subset of merchants who have been using it since last year. This has been confirmed by Ginny Marvin, our favourite Google Ads Liaison, when I tagged her about this new feature but she said we should all stay tuned for broader availability.

Unless someone you know has access to this extremely limited release. No one knows how this will work.

Since the feature is showing up in Google Merchant Center and not in Google Ads itself, I wonder if we have to set up the test inside Merchant Center because that is where our shopping feeds live.

I have seen people suggest this would just be like Google Ads Experiments and that could be true but I would not hold it past Google to give us a different experience being that this merchant center lead and not ad manager lead.

A/ BTesting Product Titles & Images

Since few people know how this works and what the functionality will be in Google Merchant Center. I thought I would cover some ideas around testing I have had for years:

Product Titles

Product titles are not the most important feed attribute in a shopping feed like they used to be but they are important because it is one of three feed attributes that customers always see, Product Title, Image and Price. Some ideas around title experiments

  • Reordering elements (Gender first, brand last vs. attribute‑first)
  • Adding high‑intent modifiers (e.g., “brand name,” “bamboo” “for women,” “for infants”)
  • Including keywords to anchor your target customer like “luxury,” “premium,” or “last chance”

Product Images

Image tests could include the follow since it is one of the other key feed attributes that customers see.

  • Product or studio vs. lifestyle imagery
  • Indoor vs outdoor images
  • Different leverl, angles or zoomed focused shots
  • Packaging‑focused vs. product‑in‑use shots

Remember to keep Google Ads and shopping ad policies in mind when running any a/b test on your shopping feeds but this is going to be a cool tool going into 2026.