Automated segmentation typically works by using data collected from various sources such as website interactions, email engagement, and purchase history. This data is then analyzed to identify patterns and segments. For instance, users who frequently purchase a certain type of product can be grouped together. Advanced tools may even use machine learning algorithms to predict future behavior and segment accordingly.