Behavioral data is information about the actions and decisions that individuals or groups make. Behavioral data can be collected through methods such as experiments, surveys, or observations, and can provide valuable insights into the behaviors and preferences of individuals or groups. Behavioral data is often analyzed using statistical techniques, such as regression analysis or hypothesis testing, in order to identify patterns and trends within the data. In UX (user experience) research, behavioral data can provide important information about how users interact with a digital product or service, and can help researchers to understand the factors that influence user behavior. For example, behavioral data can be used to identify common patterns of usage, to understand the factors that affect user engagement, or to identify areas for improvement in the user experience. By collecting and analyzing behavioral data, UX researchers can gain a better understanding of user behavior, and can use this information to inform the design of digital products and services.