What are Personalized Product Recommendations?

Suggestions to customers for products they may be interested in based on products they already bought or viewed online. For example, if a customer bought the same tank top in 3 colors, there is a good chance they like the same tank in a new color. Personalized product recommendations, which mathematical calculations called algorithms find out on the back end, are a key feature of websites for cross-selling and upselling.


Personalized product recommendations are tailored suggestions provided to customers based on their preferences and past interactions. For instance, an online retailer might recommend additional items based on a customer’s recent purchases or browsing history, making it easier for them to discover relevant products.

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