Graph code system for integrating access information and access contribution calculation method

Abstract

The invention discloses a graph code system for integrating access information, which is used for calculating the contribution degree of a user to a shopping website. The system comprises: a database;a consumption server which comprises a graph code generation module used for generating at least one graph code; a link recording module which is used for storing link information which is linked tothe consumption server through the graph code in the database; a connection module which is used for connecting the online connected to the consumption server through the graph code to a shopping website associated with the graph code; a consumption record module which is used for storing the consumption record associated with the graph code into the database; and a shopping guide module which isarranged at a shopping guide interface of the shopping website, is linked to the consumption server, and is used for recording an online state associated with the graph code, wherein the webpage server controls to return a consumption record to the consumption recording module. In addition, the invention also discloses a path contribution calculation method.

Description

【Technical field】 [0001] The present invention relates to a channel contribution system and method, in particular to an image code system integrating channel information and a channel contribution calculation method. 【Background technique】 [0002] With the rapid development of the Internet and technology, the proportion of people shopping online is also increasing, which also increases the number of channels such as e-commerce platforms. In order to increase product sales, e-commerce platforms, in addition to purchasing advertisements to increase exposure In addition, it is also one of the common methods to reward consumers who assist in the promotion of products with bonuses or bonuses. A common feedback method is to provide the recommender's account number or data to the buyer, and the buyer fills in the recommender's data on the checkout page. After the consumption is completed, the recommender will get a certain percentage of feedback bonus or bonus; The settlement met...

AI Technical Summary

Problems solved by technology

A common feedback method is to provide the recommender's account number or data to the buyer, and the buyer fills in the recommender's data on the checkout page. After the consumption is completed, the recommender will get a certain percentage of feedback bonus or bonus; The settlement method will increase the complexity of the consumer's operation, which conflicts with the convenience of e-commerce; more often, the recommender cannot get a reward bonus or bonus because the buyer forgets the recommender's account number or omits to fill in the data when checking out

Therefore, recommenders often reduce the enthusiasm for recommendation because they cannot obtain sufficient rewards

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