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.
Example
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.