Systems and methods for determining a likelihood of user termination of services

Abstract

Systems and methods are described herein for generating a model to determine a likelihood that a user will change a service. A media guidance application may identify a first service to which a plurality of users are subscribed, receive information from a third-party data source for each of the plurality of users, identify, based on the respective information from the third-party data source, a user action performed by each of the plurality of users in relation to the first service, and identify for at least one of the plurality of users, based on the respective information from the third-party data source, a request to change the first service. Based on the identified user action and the identified request to change the first service, the media guidance application may generate a model to determine a likelihood that a user will change the first service.

Dependencies are inferred from the claim text.