Personalized recommendations work by collecting and analyzing data from various sources such as browsing history, purchase history, and demographic information. This data is then used to create targeted segments and generate customized content. For example, an e-commerce platform might recommend products based on a subscriber’s past purchases or browsing behavior, while a content provider might suggest articles related to previous reads.