Abstract: A system and a method are disclosed for adjusting communication settings based on user segmentation. An activity-based communication management system retrieves behavioral and demographic data of at least one user. The system inputs the behavioral data and the demographic data into machine learning models. For each of the machine learning models, the system receives a respective activity parameter characterizing a predicted activity occurring within a time window. The system determines, based on the received activity parameters, a category to which the behavioral data and demographic data belong. The system subsequently adjusts a plurality of communication settings based on the determined category. The activity-based communication management system may provide user segmentation using both empirical activity parameters (e.g., historical behavioral data) and predicted activity parameters.