Machine learning techniques for optimized communication with users of a software application

US11831594B2 · kind B2 · utility

Assignee

• Dexcom, Inc. · US

Inventors

• Andrea J. Jackson · Solana Beach, US
• Subrai Girish Pai · San Diego, US
• Mark Derdzinski · Village of La Jolla, US
• Joost Herman VAN DER LINDEN · San Diego, US
• Maritza S. POWELL · San Diego, US
• Jessica S. LARRABEE · San Diego, US

Key dates

• Filing date: Sep 12, 2022
• Grant date: Nov 28, 2023
• Expiry date: Sep 12, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0271
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

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.