Systems and methods for predicting churn in a multi-tenant system
US11538049B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2019 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Sep 30, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06375
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.