① User persona: Understand users through user surveys, divide them into different types according to their differences in goals, behaviors and viewpoints, and then extract typical features from each type and give them names, photos, some demographic elements, scenes and other descriptions, thus forming a persona.

② User profile: an application closely related to data mining and big data. Tagging describes users through data (two characteristics of user portraits: tagging and low difference rate), and the core of user portraits is tagging users.

① User role: discussing products, requirements, scenarios and user experience is a collection of user attributes, which can accurately describe product users. Generally, 3-4 roles will be set.

User profile: precise marketing, personalized service of services or products, user statistics, business progress analysis and competitive product analysis, and enterprise strategy formulation.

① User role: Collect information through interviews and surveys to obtain the qualitative characteristics of users.

② User profile: obtained by refining the existing data, and the specific method is as follows.

Basic attributes (name, age, gender, etc. ), users' purchasing power, hobbies, psychological characteristics and social networks should be roughly marked.

User portraits need to be constantly improved, and it is impossible to 100% describe a person. It is necessary to constantly enrich the tag library and make the portraits more three-dimensional.

This is the moment when the user portrait comes into play. For group analysis, for example, we can subdivide core users according to user value, evaluate the potential value space of a group, and carry out targeted operations.