A/B split testing is a powerful tool to increase profitability in your online advertising campaigns. While Google Ads Experiments feature allows you to run A/B tests for Search and Display campaigns, it doesn’t support Shopping campaigns. However, there are alternative methods you can use to test multiple variations of your Shopping campaigns effectively. In this post, we’ll explore five ways to conduct A/B tests for your Shopping ads.
How to A/B test product information
Testing product information such as titles, images, or extensions can help optimize your product feed. You can set up these tests using a feed management tool or manually in Google Merchant Center. To start, create equal groups of products for testing. This can be achieved through cluster analysis or random split methods to ensure a fair comparison between groups. Once the split is made, make changes to the product IDs in your test group and monitor the results to identify winning variations.
How to A/B test campaign settings
If you want to test campaign settings like ROAS, targeting, or campaign types, you’ll need to make splits based on criteria other than product IDs. Three methods you can use for testing campaign settings include Customer Match split method, geo split test method, and campaign split method. Each method requires careful analysis and setup to ensure reliable results.
- Customer Match split method: Target first-party audiences using Google Customer Match to create test and control groups.
- Geo split test method: Divide markets into geographical regions for testing incremental uplifts in campaigns.
- Campaign split method: Divide campaigns or accounts into two correlated groups to test different settings.
Final thoughts
By implementing these A/B testing methods for your Google Shopping campaigns, you can optimize performance and drive better results. The key to success lies in thorough analysis and preparation before running the tests. Remember, the quality of your outcomes depends on the effort you put into setting up the tests. Experiment with these methods and share your results in the comments. Happy optimizing!
This article provides valuable insights into A/B testing strategies for Google Shopping campaigns. By implementing these methods, you can gain valuable insights into what works best for your ads and drive improved performance. Stay tuned for more tips and tricks on optimizing your online advertising efforts.