User portrait is a labelled user model abstracted from information such as user social attributes, living habits and consumption behavior. The core work of constructing user portraits is to put "tags" on users, and tags are highly refined feature identifiers obtained by analyzing user information.
Since user experience is very important, how to "measure" and "optimize the entire process" is to collect data in each module from the "user's point of view", and use "statistics" and "probability" thinking "modeling analysis" ”; In the process of product operation and growth, find the “snowball effect” “prying point” to exert influence, and finally establish a “benign closed loop”.
Implementing user portraits can achieve a win-win situation for users and enterprises. When users use products, they can get a better shopping experience, and enterprises can better serve users and achieve profits. It is necessary to analyze the business scenarios, and then do not just look at the portraits, but to make some comparisons, through the comparison before and after, with the comparison with competing products, with the comparison between the channel and the market, etc. to analyze, find shortcomings and advantages, and make corrections and adjustment. A closed loop of data is formed through data feedback, and ultimately better business results can be obtained in the iterative process of the product.