New member ripening method and device based on medical big data

Abstract

The invention provides a new member ripening method and device based on medical big data, which aim at solving the problems that the marketing cost is increased and the like because the existing member ripening scheme does not fully consider large differences among new members and a drugstore cannot reasonably specify discount coupons with proper denominations. According to the invention, basic information of a newly registered member is recorded in a database, and member label information is also recorded. According to the method, combined feature data of a new member is obtained, a regression model is constructed to determine the discount coupon denominations corresponding to different label data of a target member, the discount strength is set in a reasonable range, and the enterprise marketing cost is reduced. Moreover, multiple rounds of marketing activities are carried out on newly registered members, and new member label data and combined feature data are dynamically adjusted inthe activities, so that reasonable pushing and precise marketing of coupons are realized, and the yield of drugstores and the loyalty of the members can be improved on the premise of ensuring that the new members can be quickly ripened.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of medical data processing, in particular to a method and device for ripening new members based on medical big data. Background technique [0002] With the improvement of mass consumption, consumption is no longer simply limited to satisfying material needs, and people pay more attention to the development of physical health. How to maintain the relationship between pharmacies and consumers and realize the revenue of pharmacies has always been a hot topic. [0003] At present, membership marketing is the first choice for major pharmacies. Membership marketing means that a company develops members, provides differentiated services and precise marketing, improves customer loyalty, and increases corporate profits in the long run. Through the analysis of historical data, it can be found that a good member marketing strategy can help pharmacies in the following aspects: 1. Understand c...

AI Technical Summary

Problems solved by technology

However, this method of accelerating the maturity of new members is not suitable for all kinds of members, and often causes the new members attracted by pharmacies to spend a lot of money to lose before they become stable customers.

It has the following deficiencies: 1. There are large differences among new members. New members are newly registered members. The pharmacy cannot accurately grasp their age, interest preference, and consumption ability, and cannot understand new members well; 2. General The historical data of new members is relatively sparse, and pharmacies cannot establish a suitable algorithm model; 3. It is difficult to formulate coupons. Due to the sparseness of new members, pharmacies cannot specify coupons with appropriate denominations

In addition to the issue of the coupon face value, there are also problems in the determination of the validity period of the coupon and the delivery cycle of the coupon

4. The cost is high, and the sending cycle and rounds of coupons are difficult to grasp

The effect is not good if the number of sending is small, and frequent sending will increase the marketing cost

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