Simply put, it is a kind of survey and analysis report that is abstractly simulated after collecting and analyzing data on consumers' social attributes, living habits, consumption behaviors and other major information, and it is a user information label.

What data dimensions are generally needed to build a crowd profile?

Social attributes: including age, gender, geography, blood type, education, occupation, income, family status, height, weight and other basic information;

Psychological attributes: including personality, ability, temperament, values, emotions, thinking, etc.;

Interest characteristics: browsing content, collection of content, reading advice, preferences for purchasing items, etc.;

Consumption characteristics: consumption-related characteristics, usually divided by income;

Location characteristics: the user's city, the residential area, the user's mobile trajectory, etc.;

Equipment attributes: the use of the terminal characteristics, such as cell phone brands, Android or iso system, mobile or PC, using 4G or wifi, etc.;

Behavioral data: access records, access time, browsing paths, etc.;

Behavioral data: visit

Behavioral data: access records, access time, browsing paths, and other user behavioral log data on the site;

Social data: user social data, including circles, interests and preferences, interactive behavior;

What is the role of user profile analysis?

Having said so many dimensions and so many labeled attributes, what is the role of these?

Many people may say these things have nothing to do with me 。。。。

But for almost all of them, whether they are traditional or Internet businesses, these data are valuable!

In the coming era of big data, "data is the new oil"

Overall, user profiling can segment the population around the product to determine the core population of the product, which helps determine the product positioning and optimize the product's function points.

At the same time, it can also help companies to conduct market insights, estimate the market size, and thus assist in the development of milestones, guide major decisions, and improve ROI; it can also help to avoid homogeneity and conduct personalized marketing.

The role of user profile analysis is mainly reflected in the following five aspects:

Precision marketing : Based on historical user characteristics, analyze the potential users of the product and the potential needs of users, targeting specific groups, using SMS, email and other ways of marketing;

User statistics : Based on the attributes of the user, the behavioral characteristics of the user after the classification, statistics on the number of users, distribution of different characteristics; analysis of different characteristics of the user, the number of users, distribution; analysis of different characteristics of the user, the number of users, distribution of different characteristics, the number of users. User statistics: After classifying users according to their attributes and behavioral characteristics, count the number and distribution of users under different characteristics; analyze the distribution characteristics of different user profile groups;

Data mining: Build recommendation systems, search engines, and advertisement placement systems based on user profiles to improve the accuracy of services;

Service products: Conduct user profiles for products, analyze the audiences of products, and understand the psychological motives and behavioral habits of users more thoroughly to improve product

Industry reports, user research: user profile analysis can understand the industry dynamics, such as crowd consumption habits, consumption preference analysis, analysis of consumption differences between different geographic categories;

Data-dance big data analysis platform

Business circle analysis, customer analysis, competitor analysis, multi-dimensional analysis