One of the most groundbreaking benefits of being able to use multiple designs in a single catalog is that you can A/B test with ease.
With different designs for each product, you can select which creative to use on the ad level.
We recommend testing multiple designs. Using at least 3 different designs will give you a higher chance of success and learn what type of design choices work for your audience.
You can find inspiration for what to test here.
The first step is to create the individual designs you'll be using for A/B testing, and add them to the catalog as design variants.
If you haven't yet done so, click here and follow STEP 1 of this guide.
If this is your first time testing Catalog Ads, and you want to test the difference between the original pictures and Confect designs, we recommend these designs:
The next step is to create a NEW campaign for this A/B test. Click "Create" in the Ad Manager, select "Sales" and then "Manual sales campaign".
Using a manual campaign allows us to create multiple ad sets and test between them.
A new campaign will have one ad set and ad. The ad set should be duplicated (using "Quick duplicate"/ CTRL+D) so that you have one per variant you're testing.
For our example (1 original, 3 designs), we'll need to duplicate 3 times so that we have 4 individual ad sets.
Once you've duplicated the ad sets, you'll need to change the design variants in each ad. To do that, follow STEPS 2 and 3 of this guide. Go to each ad, and make sure the right design variants are used.
All that's left to do is select the ad sets you'll be using in this test (all the ad sets in this new campaign).
With ad sets selected, click the "A/B Test" button (you might have to click "Edit" to see it).
Here it's important to pick "Existing ad sets" for comparison (this should be selected by default, but make sure it is correct).
For the key metric, we recommend using "Cost per result"; however, this can change based on your advertising objectives (i.e., clicks, leads, etc...).
We recommend running the test for a period of 2 weeks MINIMUM and not concluding on tests with less than 30 results in each variant.
Once the A/B test has been set up, just click "Publish Test" to save your changes and begin testing.
After the testing period ends, compare the key metric(s) between the ad sets to find your winner.
Since all the creatives come from the same catalog, the only variable creating the difference will be the design itself.
After finding your winning design, reflect on which design choices led to higher performance.
You might for example find that the main difference between your best and worst performing design is that the winning variant uses your logo, while the losing doesn't.
In that case, it's a good sign that your target audience responds well to seeing your logo in the ad, and you should be basing your future designs on this learning.