MACHINE LEARNING TECHNIQUES FOR OPTIMIZED COMMUNICATION WITH USERS OF A SOFTWARE APPLICATION

    公开(公告)号:US20230077948A1

    公开(公告)日:2023-03-16

    申请号:US17931531

    申请日:2022-09-12

    Applicant: Dexcom, Inc.

    Abstract: Certain aspects of the present disclosure relate to methods and systems for optimized delivery of communications including content to users of a software application. The method also includes obtaining, by a customer engagement platform (CEP), a set of cohort selection criteria for identifying a user cohort to deliver the content; identifying, by a data analytics platform (DAP), the user cohort to communicate with in accordance with the set of cohort selection criteria; identifying, by the DAP, one or more communication configurations for communicating with one or more sub-groups within the user cohort; and to each user of the user cohort, transmitting one or more communications based on the content and a corresponding communication configuration for a sub-group that may include the corresponding user; and measuring engagement outcomes associated with usage of the corresponding one or more communication configurations in communication with each of the sub-groups.

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