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# User Analysis

TIP

This section will provide a brief introduction to user analysis to help you better understand the TA platform. If you are interested in a certain section, you can click to enter the corresponding user manual section. Before viewing this chapter, it is recommended that you read the TA Quick Use Guide

Based on users, in addition to using user attributes for analysis, you can create groups or tags to help with the analysis.

  • Attribute analysis is a model that specifically analyzes the statistics and distribution of user features. Through this model, you can quickly grasp the user profile of a specific user group and provide help for refined operations, such as comparing the average cumulative payment amount of users in different channels, or splitting the number of users according to the user's current level and VIP level.
  • User grouping supports people with common characteristics to form user groups, macroscopically understand the group characteristics of various groups and microscopically gain insight into specific user information, and facilitate subdivision and analysis of user samples in various models, such as finding users who have recharged in the past 30 days or users without any events in the past 7 days (loss of users).
  • The user tag supports the calculation of user data in a specific way. The tag value can be regarded as a special user feature, such as the number of login days last week or the recharge amount since the service was started. Tags also support automatic daily backups to facilitate viewing of historical trends in the number of users corresponding to tag values, such as changes in the number of large R in the game.
  • User search can easily find specific users with user features as filtering criteria, such as customers searching by account ID, or finding a group of users according to registration time for subsequent marketing recall.
  • The user behavior sequence can be deeply mined for the behavior of a single user, microscopically understand the user behaviors, and better macroscopically analyze it in combination (analysis model).

The above is a brief introduction to the contents involved in user analysis. You can click to enter each section for details. If you are interested in behavioral analysis, please refer to behavioral analysis .