Invention Grant
- Patent Title: Machine learning techniques for optimized communication with users of a software application
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Application No.: US17931531Application Date: 2022-09-12
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Publication No.: US11831594B2Publication Date: 2023-11-28
- Inventor: Andrea J. Jackson , Subrai Girish Pai , Mark Derdzinski , Joost Herman Van Der Linden , Maritza S. Powell , Jessica S. Larrabee
- Applicant: Dexcom, Inc.
- Applicant Address: US CA San Diego
- Assignee: Dexcom, Inc.
- Current Assignee: Dexcom, Inc.
- Current Assignee Address: US CA San Diego
- Agency: PATTERSON & SHERIDAN, LLP
- Main IPC: H04L51/214
- IPC: H04L51/214 ; G06Q30/0201 ; G06Q30/0251

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.
Public/Granted literature
- US20230077948A1 MACHINE LEARNING TECHNIQUES FOR OPTIMIZED COMMUNICATION WITH USERS OF A SOFTWARE APPLICATION Public/Granted day:2023-03-16
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