Patent · US Active

Churn prediction with machine learning

US11232465B2 · kind B2 · utility

2Cited by

0References

20Claims

0Family size

Assignee

Airship Group, Inc. · US

Inventors

Elizabeth Marjory Orr · Portland, US
Gary Todd Johnson · Portland, US
Neel Banerjee · Corvallis, US

Key dates

Filing date	Jul 10, 2017
Grant date	Jan 25, 2022
Priority date	—
Expiry date	Apr 30, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed is a churn prediction system that predicts with a high level of accuracy which users will and which users will not stop opening the app over a 30-day time period. To this end a model is created using historical event data where the churn-related behavior of each user is known. New event data is then applied to the model to determine the likelihood of each user churning in the future. With these prediction scores a user is then qualified as falling into one of three classifications: low-risk, medium-risk, or high-risk of churn.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.