Collaborative filtering is a technique used in data analysis and machine learning that creates recommendations by collecting preferences from many users and leveraging their collective behavior. In the context of email marketing, collaborative filtering helps in tailoring personalized content for individual recipients based on the behavior and preferences of similar users.