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Frequently 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.

In this story

How cross-sale recommendations work across your store.

This algorithm shows items frequently bought together by customers who also bought the current item — across product pages, listing pages, follow-up emails, transactional emails, and on-site sliders.

01

Customers Who Bought This Item Also Bought…

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.

02

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.

03

Cross-Sale Recommendations on Product Pages

ElectronicsWebsite example

Cross-sale recommendations on an electronics product page
Cross-sale recommendation widgets on electronics website

FashionWebsite example

Fashion site product page showing cross-sale recommendations
Fashion e-commerce cart page with cross-sale items
04

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.

Personalized cross-sale recommendation email
05

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.

Transactional order confirmation with cross-sale block
Invoice email with product recommendations
06

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.

MobileScreen

Cross-sale slider on mobile view

DesktopScreen

Cross-sale slider on desktop view

Related examples

AI Recommendation Engine — the algorithms behind product, content, and email recommendations.

Email Personalization — trigger personalized follow-ups and add recommendations to transactional templates.

Website Personalization — adapt headlines, layouts, and offers to each visitor.

See Pricing Plans — transparent pricing — start small, scale as you grow.

Demo — “Customers Who Bought This Item Also Bought” cross-sale algorithm examples across product pages and emails.

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 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. Build strategies that perform best for your store.

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Related Personyze features.

Product & Content Recommendation Engine
AI-driven recs across every page, email, and surface.
Customers Who Viewed This Also Viewed
Complementary algorithm — surface products viewed together.
Website Personalization
Adapt headlines, layouts, and offers to each visitor.
See Pricing Plans
Transparent pricing — start small, scale as you grow.