From PC to mobile Internet, a group of Internet products that ride on the bulk sms service express train of traffic dividends have risen rapidly. But now, the traffic dividend has disappeared, and a crazy and legendary traffic era has come to an end. In the environment of weak increments and more intense competition in the stock market, refined operations have been born. Combined with big data, users are grouped into groups, and different bulk sms service marketing strategies are adopted for different groups of users. The Art of War: "Know yourself and your enemy, and you will be safe in a hundred battles." In the entire process of refined operation, the establishment of a user portrait system plays an indispensable role.
Earlier, the straw hat introduced the data base bulk sms service layer construction such as buried point data collection, indicator system construction, data warehouse and OLAP analysis. Next, we will study how to build a user portrait system from 0-1 and the application scenarios of user portraits. First-time user portrait The concept of user portrait, first proposed by Alan Cooper, the father of interaction design, is a characterization of the bulk sms service target group of a product or service. In the early days, when there were few sources of user data and the amount of data was relatively small, the research on user portraits was mainly based on statistical analysis, and user portrait labels were constructed through user research.
Later, of the University of California, manually bulk sms service collected website users' satisfaction with the page, and then gradually built a user interest model through statistical analysis. With the development of the Internet and information collection technology, California Management University has developed Web Watcher, which can record various browsing behaviors generated by users on the Internet and users' interests and bulk sms service preferences through data collectors, and realize the construction of user interest models. With the continuous accumulation of data, the system model is expanded and updated, and the user portrait tags are also more abundant. In recent years, with the explosive growth of massive data on the Internet, many companies have new opportunities for user portrait research. Based on data tags such as user attributes, behaviors, and hobbies,