FULLY AUTOMATED CUSTOMER TARGETING ALGORITHM OPTIMIZED TO MAXIMIZE COMMERCIAL VALUE USING MACHINE LEARNING METHODS

    公开(公告)号:US20230068465A1

    公开(公告)日:2023-03-02

    申请号:US17446217

    申请日:2021-08-27

    Applicant: COUPANG CORP.

    Abstract: A method for targeting advertising includes receiving, at a first server, customer action information associated with the customer, and receiving a plurality of advertising campaigns. The method also includes generating, using a first algorithm, a list of products derived from the customer action information that the customer may have interest in over a first time period, and generating, using a second algorithm, a ranked list of product categories derived from the customer action information that, if purchased by the customer, would generate a highest amount of revenue over a second time period. The method further includes sending a first communication associated with a first advertising campaign of the plurality of advertising campaigns to a customer device, the first advertising campaign chosen by a third algorithm that incorporates, as input, the list of products and the ranked list of product categories.

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