The performance of your Google Shopping campaigns depends, among other things, on your product titles, descriptions and images. But how do you know which order is best for your product titles or which images score best for what product?

Your feeling is telling you that atmospheric photos do better than images with a white background. However, as a data-driven marketer you want to be able to substantiate this with solid data before you adapt all of the images. That’s why ADchieve developed a Shopping A/B test feature, so that you as a marketer can easily make an analysis to find out what performs better.

How does it work?

You create two columns, one with variant A and one with variant B. ADchieve then sends variant A or variant B to Google in a completely random fashion. Users will therefore sometimes see the test and at other times the control variant on the Google Shopping result page. Once sufficient data has been collected you can easily compare the results, because ADchieve sends along a custom label that includes the value A or B.

How do you set it up?

Step 1: Open the test

Go to library > +Add item > AB test

AB Shopping test

Step 2: General settings

  • Give the test a suitable name
  • Select the feed that you want to use
  • Select a custom label that you won’t use for anything else
  • Set test to “on”
  • Click “save”

Step 3: Variables

  • Filter any products that you would like to use in the test or include all products.
  • Drag the columns in the variables, so that either the titles, the description or the images have two variants:

AB test shopping - variabelen

Step 4:

Run the test for a while. Then check the results in Google ads by comparing the results of the custom label for variant A with variant B.
You can easily do so using Reports:

AB test shopping - rapporten