Cross-sell recommendations in the basket
Display recommended products on the cart page, matched to the user’s preferences using AI algorithms. You can encourage customers to buy other products and thus increase the value of the basket. Algorithms allow you to choose products commonly bought by past customers with the same basket content and are likely to interest current customers. It’s also a good way to mention promotions for complementary product categories.
Such recommendations are of value to customers, keep them engaged and encourage them to buy something more. Without such recommendations they would leave the website earlier and buy less.
Example of use - Retail industry
A client from the fashion industry used this type of recommendation, because they wanted to increase the average value of online shopping baskets. Client decided to use recommendations of similar products on every product page and in this way encourage hesitate customer to make a faster decision.
Results after one month:
- CTR: 0.76%,
- Conversion rate 38.5% (percentage of purchases to the number of clicks).
How to do it
The purpose of this type of recommendation is to offer additional products to the ones the customers are viewing and get them to add more items to their shopping carts. The system compares the products which were viewed by other users of a similar profile to the product that is currently being viewed by a specific user. On this basis, the system prepares product recommendations that may encourage the user to add a product to the cart.
Learn how to configure your cross-sell recommendations.
Above you will find complete guide which will show you how to create and configure your cross-sell recommendations and implement them in your campaigns.