PMD user incentive management method and system, computer equipment and storage medium

Abstract

The embodiment of the invention belongs to the technical field of e-commerce platform promotion, and relates to a PMD user incentive management method, which comprises the following steps: constructing a reward pool which is used for storing an amount corresponding to a preset proportion of commodity profit, wherein the commodity profit is the profit obtained by the commodity which is shared and successfully transacted by the user; building a point pool, wherein the point pool is used for generating member points, the member points are generated according to the commodity profit in the reward pool, and after generation, the member points are distributed to the corresponding members by a distribution model according to a preset rule; the reward pool and the point pool having a unique mapping relationship, and when the member obtaining the member point consumes the member point, using the amount corresponding to the member point in the reward pool as the consumption money for consumption. According to the PMD user incentive management method provided by the invention, by constructing the reward mechanism of the reward pool and the point pool, the user is incentive, the user stickiness is enhanced, the user re-purchase rate is improved, and the effect of popularizing the platform through the user is achieved.

Description

technical field [0001] The present application relates to the technical field of item recommendation, and in particular to a PMD user incentive management method, system, computer equipment and storage medium. Background technique [0002] In the Internet age, the e-commerce industry is growing day by day, and business promotion has always been the main business problem it faces. Today, when the traffic dividend disappears, the cost of customer acquisition in the e-commerce industry remains high, and the cost of search engine optimization, star internet celebrity advertisements, and social software placement is constantly increasing. Big data shows that once the promotion of the platform is reduced, users who have been "fed" by advertisements are likely to leave, indicating that users promoted by advertisements have poor overall stickiness and low repurchase rate. Therefore, a new promotion method is urgently needed to improve the overall stickiness and repurchase rate of e...

AI Technical Summary

Problems solved by technology

Big data shows that once the promotion of the platform is reduced, users who have been "fed" by advertisements are likely to leave, indicating that users promoted by advertisements have poor overall stickiness and low repurchase rate

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