Predicting customer lifetime value with unified customer data
US12198072B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2023 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Dec 20, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0202
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are techniques for generating features to train a predictive model to predict a customer lifetime value or churn rate. In one embodiment, a method is disclosed comprising receiving a record that includes a plurality of fields and selecting a value associated with a selected field in the plurality of fields. The method then queries a lookup table comprising a mapping of values to aggregated statistics using the value and receives an aggregated statistic based on the querying. Next, the method generates a feature vector by annotating the record with the aggregated statistic. The method uses this feature vector as an input to a predictive model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.