Real-time system to identify and analyze behavioral patterns to predict churn risk and increase retention
US10600063B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2016 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Oct 25, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/18
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Implementations are directed to identifying potential churn of a user of one or more computer-implemented systems provided by an enterprise. In some examples, actions include identifying potential churn of providing a plurality of event profiles based on historical data, each event profile being representative of interactions of users with the enterprise and corresponding to churn of the users, at least one event profile being representative of an interaction of users with the one or more computer-implemented services, providing a pulse of the user at least partially based on historical data associated with the user, and one or more event profiles of the plurality of event profiles, and determining that the user is at-risk of churn based on the pulse of the user and a risk index value, and in response, displaying an indication that the user is at-risk of churn in a graphical user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.