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How to build a complete and clear user labeling system

The fundamental purpose of building a user profile for an enterprise is to gain insight into user needs, grasp user pain points, and guide the development of a more scientific and effective operational strategy. A complete and clear user labeling system should have the following characteristics: comprehensive dimensions, real-time vivid, real and effective.

1. Comprehensive dimension

A comprehensive user profile labeling system can comprehensively portray the user's basic attributes, social attributes, behavioral attributes, psychological attributes, and other aspects of the characteristics, thus helping to inspire the ideas of product operations and broaden the knowledge of product operations.

Basic attributes (gender, age level, region, etc.);

Social attributes (income level, occupational position, etc.);

Behavioral attributes (shopping preference, financial management preference, etc.);

Psychological attributes (whether to advocate nature, focus on cost-effective) and so on.

2, real-time live

The market environment is changing rapidly, the user demand will continue to migrate and change, which requires APP can be timely insight into the migration of user demand and rapid response. Accordingly, companies should also have strong data modeling and algorithmic analysis capabilities to ensure the rapid output of portrait labeling data to guide product and operations personnel to quickly gain insight into the changing needs of users.

3, real and effective

The authenticity here mainly refers to the authenticity of the data source and the validity of the model, based on the wrong data is difficult to draw real and effective conclusions, invalid (false) data can only generate ineffective labeling. Whether the data is your own or from a third-party source, it is important to focus on its authenticity.

Third-party source data, you can consider choosing the personal push - user operations, not only to provide third-party data support, but also to support the APP own data and personal push massive data fusion, can effectively improve the APP data labeling system, covering the user's basic attributes, interest preferences, media preferences, offline activity scenes and other dimensions, so that the APP user profile more comprehensive and three-dimensional; at the same time to provide labeling At the same time, it provides a label management platform that supports APP developers and operators to create, maintain and efficiently manage labels, and it also creates a rich library of industry label templates for developers, covering a wide range of industries such as food and beverage, FMCG, beauty, mother and baby, etc., which can be flexibly invoked by operators on demand, with 0 threshold for analysis, and make user portrait insight more efficient and convenient. The SDK is free of charge for a limited time, you can register/login to the developer center of Push to open it for free.

User Tagging System