The invention relates to the technical field of network information, and discloses a user behavior data analysis system capable of distinguishing clients by labels, which comprises the following steps: S1, performing social investigation: determining a target APP, then carrying out random user investigation, and collecting basic information and preference characteristics of users in a questionnaire form; S2, performing information collection: collecting user information of the target APP, the user information including population attributes, credit information and behavior characteristics; and S3, constructing a label library. According to different labels, favorite information contents are pushed to different users, the operation intentions of the users are deeply analyzed, the requirements of the users on the market are quickly known in advance, the users are distinguished by using the labels, the information is accurately pushed, and the information pushing effect can be known through precision inspection, so that problems are found and solved. And a user behavior analysis system is perfected.