Machine learning techniques for optimized communication with users of a software application
US12289279B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 17, 2023 |
| Grant date | Apr 29, 2025 |
| Priority date | — |
| Expiry date | Oct 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0271
- WIPO fieldIT methods for management
- WIPO sectorElectrical 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.