The embodiment of the invention discloses a method and a device for analyzing user behavior data. The method and the device are used for accurately analyzing user behavior and improving the pertinence of advertisement push objects. The method in the embodiment of the invention comprises the following steps: acquiring behavior data generated in a data source after users are registered to the data source, wherein the data source comprises respective behavior data generated by all users which are registered into the data source, and the behavior data are data information for recording the behavior of the users in the data source; extracting user tags from the behavior data generated on the data source by the users, wherein the user tags are information for characterizing the behaviors of the users; acquiring preset directional features of the population, wherein the directional features of the population are features endowed by the population meeting the requirements on directional features; extracting target user population according with the directional features of the population from all users in the data source according to the behavior data generated on the data source by the users and the user tags, wherein the target user population comprises multiple users according with the directional features of the population.