Product recommendations provide a short list of products that a shopper is likely to be interested in, by matching customer and behavioral data to the product data from items in your catalog. These systems help shoppers discover products they’ll love, all with the aim of driving continued purchases and cementing customer loyalty.
Product recommendations can be as simple as showing a list of best selling items to every customer or as sophisticated as 1:1 product recommendations that mesh a customer’s attributes, browsing behavior, and predicted affinities with the characteristics of products in your catalog. Advanced product recommendation engines use AI to automatically and intelligently recommend individual products from your catalog using existing customer data. This grants your marketing team access to unique recommendations that would be difficult or impossible for a human to uncover.
These recommendations can appear multiple times across a shopper’s journey, ranging from the home page and product pages on your ecommerce site to the shopping cart and follow-up emails to even 404 pages. So long as a shopper views an email or webpage that you own, your product recommendation engine can automatically and instantly tempt them into adding another item to their cart.