Optimize your upsells with A/B testing to find the best-performing offers and maximize your profit by suggesting winning products.
In this guide, we will go through the configuration techniques and discuss in-depth how to run A/B tests for post-purchase upsells.
Sometimes it’s hard to guess the upsell that will perform best. You can create an A/B test for as many upsells as you want, as long as they use the same upsell trigger product or category.
💡 Hint: For better comparison of the A/B test performance only do single changes per newly created upsell. Eg. only change price or comparison price of upsell offers, or test different offers and upsell offer titles. That way you can see which order, set of products, or title is leading to the most conversions.
Having two upsells with the same product OR category triggers will perform A/B testing, meaning that they will be shown equal times to different customers. When there are overlaps we will show them for your convenience so you can see at a glance which upsells are overlapping.
Sometimes a category can contain a product that is used as an upsell trigger.
Let’s say that you have an upsell with a 👕 T-Shirt Category trigger. Then, you have another upsell with a 👕 Printed White T-shirt product trigger that is actually from the same category in your store.
In this example, the upsell with an individual product trigger, the 👕 Printed White T-Shirt, will be shown every time to your customers when triggered. The upsell with the 👕 T-Shirt Category trigger will be shown to all other products in this category that are not included individually in another upsell.
If you want to stop the A/B test or just remove some upsells from the A/B test, you can unpublish the upsells. That way all of the generated data will be kept and you can re-publish them at a later stage.
When you unpublish upsells the traffic to them will be automatically split between the remaining published upsells with overlapping triggers.
💡 Hint: As a rule of thumb, try to test up to 3 upsells at once. That way you will receive your performance data faster to benchmark the upsells.
⭐ Check out our bonus video tutorial about 👉🏻 [How to Run Effective A/B Tests on Post-Purchase Upsells](http://how%20to%20run%20effective%20a/B%20Tests%20on%20Post-Purchase%20Upsells)