User portraits can create a three-dimensional, accurately labeled user model based on operator big data modeling and analysis of relevant users’ personal information, social attributes, dimensional information including living habits and consumption behavior, online behavior, communication behavior, etc. , User portrait. Through the establishment of operator big data user portraits, accurate personal information and corresponding tags of related users can be obtained, which is called tagging in the field of big data. Labels are highly accurate feature identifications obtained after analyzing user information. Related companies and industries can establish user portraits based on operator big data to analyze accurate labels to determine whether the user is a potential intended customer or does not meet relevant qualifications. And other behaviors.
By creating user portraits, the following accurate user tag information can be obtained: such as whether there is a garage, income level, whether there are children, etc. related user information. For example, a financial-related company can determine the customer’s qualifications based on the above user tags to determine whether the customer has the qualification to purchase, borrow, etc.
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Accurately labeling data is the general trend. Regardless of the existing data resources and customer resources of enterprises and individuals, or the historical precipitation data and customer resources of enterprises and individuals, it is possible to obtain three-dimensional users by establishing data models based on the big data of operators. The profile can then be analyzed to obtain these data, customer resources, and obtain the data and accurate labels corresponding to the customer. By analyzing historical data, existing data, historical customer resources, and existing customer resources to obtain accurate labels, marketing conversion rates can be greatly improved and customer acquisition costs can be reduced.