Automated recommendations work by collecting and analyzing data from various sources such as past purchase history, browsing behavior, and email interaction metrics. Advanced algorithms and machine learning models are then used to predict the most relevant content for each subscriber. These recommendations can be dynamically inserted into emails, ensuring that each recipient receives tailored suggestions.