Customers Who Bought This Item Also Bought… Recommendation Algorithm
This ecommerce recommendation algorithm shows items frequently purchased together by customers who also bought the item being viewed—boosting cross-sales and overall revenue.
Start Free TrialFrequently Bought Together — Industry Examples
In Fashion:
When a customer is viewing a pair of pants, the products frequently bought together with it may be shoes or tops which go together with the item, because people are likely to have bought things that match aesthetically.
In Toys:
Items frequently bought together with the toy currently being viewed are likely to be those that belong to the same set, or that are popular among those with the same preferences.
In Electronics:
A customer viewing a tablet may see frequently bought together recommendations for cases, screen protectors, or other accessories that are popular for that particular tablet.
In Travel:
When a customer is viewing a flight the algorithm can show them travel insurance packages and hotels which were frequently bought with that flight.
Customers Who Bought This Item Also Bought… Recommendation Algorithm
This e-commerce recommendation algorithm shows items frequently purchased together by customers who also bought the item being viewed—boosting cross-sales and overall revenue.
Product Listing Page Cross-Sale Recommendations
Use this algorithm to display cross-sale product recommendations with Product Bundling on category or listing pages for each visitor.
Learn more about Personyze’s recommendation engine algorithms for e-commerce.
Cross-Sale Recommendations on Product Pages
Electronics Website Example
Fashion Website Example
Cross-Sale Recommendations in Follow-Up Emails
When a visitor has recently purchased an item, you can follow up with an email containing cross-sale recommendations— items that other customers frequently bought together with that product. This encourages return visits and repeat purchases.
Example: an email sent two hours after purchase shows complementary products. Learn more about automated, personalized, and targeted emails.
Cross-Sale Recommendations in Transactional Emails
Cross-sale recommendations can be added to any transactional message such as purchase confirmations, verification emails, or existing templates—without coding or IT integration. Learn more about adding email recommendations to transactional campaigns.
Cross-Sale Slider on Mobile & Desktop
A responsive cross-sale slider showcases items that were frequently bought by customers who also bought the current item.
Mobile Screen
Desktop Screen
Leverage the Power of an AI-Powered Recommendation & Personalization Engine
Harness AI to show each visitor exactly what they are most likely to be interested in. Choose from algorithms to present recommendations for anonymous visitors on the homepage, “buy-it-together” on product pages, algorithms specifically for emails, items on sale from the visitor’s wishlist, or “Buy It Again” for repeat purchases. Personyze includes multiple algorithms for different channels and visitor journey stages, and the flexibility to build strategies that perform best for your store.
An AI Powered Recommendation & Personalization Engine
Harness AI to show each visitor exactly what they are most likely to be interested in. Choose from algorithms to present recommendations for anonymous visitors on the homepage, buy it together for a product page, algorithms specifically for emails, items that are on sale from the visitor's wishlist, or “Buy It Again” for perishables. Personyze includes different algorithms for different channels and states of the visitor in their journey, and the flexibility to leverage your customer expertise to build algorithms with the exact blend of data or strategies that perform best for you.