What does a user portrait generally consist of?

User portraits are generally composed of customer company size, customer location, age, browsing habits, search habits, goals, product demands, attention to industry information and content, etc. The previous portraits were mainly based on the consultation of existing customers and the understanding of the whole market state by enterprises.

Enterprises classify user portraits, largely to let the relevant personnel of enterprises know who our customers are, what their needs are, how we should serve them, and provide guidance for the internet marketing of enterprises.

The concept of user portrait.

User portraits usually include qualitative portraits and quantitative portraits; Qualitative portraits describe users' basic attributes, behavior representations, interest models, etc. Quantitative portrait mainly includes quantifiable data characteristics such as user's basic variables and interest preferences. Generally speaking, quantitative portraits are mainly combined by forms (questionnaires, etc.). ) and user portrait data obtained by means of behavior data collection, cleaning, statistics, restoration, mining and analysis, so as to improve the overall quality of supplementary user portraits. Qualitative portraits are mainly labeled, such as who, where and what.