Predictive models work by collecting and analyzing data from past email marketing campaigns. This data can include open rates, click-through rates, conversion rates, and other metrics. Machine learning algorithms are then used to identify patterns and predict future behavior. The models can be trained continuously to improve their accuracy over time.