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Frequently bought together
The main goal of this recommendation is to increase the average order value. With ‘frequently bought together’ recommendations, Amazon aims to cross-sell and up-sell products based on the items in their shopping carts or the ones they’re currently browsing.

Recently viewed items and featured recommendations based on the user’s browsing history
Amazon analyses the products users have been browsing and recommends very similar products of different brands, shapes, sizes, colours, etc. It helps customers find a product similar to the one they have already shown interest in.

Browsing history
Amazon knows if a user has searched for a particular product and showed interest in it. Amazon shows users their browsing history in case they want to go back and buy the product they have already shown an interest in.

Products related to items a user has viewed
Amazon displays products related to items a user has already viewed in the spain phone number list past. Once again, the goal is to help customers understand what they might be interested in buying based on their user behaviour and preferences.


This is similar to the ‘frequently bought together’ recommendations, meaning the goal is to increase the average order value by up-selling and cross-selling products. Amazon displays products that users have purchased together in the past.

There is a new version of this item available
This recommendation technique mostly appeals to customers who want to upgrade their electronic gadgets to the latest models and versions. Amazon recommends the latest models of these items to customers who have already purchased an older version in the past.

Recommended product based on a previous purchase
This recommendation technique can be understood with an example. For example, a user purchased a mobile from Amazon. It’ll recommend phone covers for the exact model the user has purchased in an attempt to encourage them to purchase it by cross-selling a highly relevant product.