The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 25, 2022

Filed:

Jul. 10, 2017
Applicant:

Airship Group, Inc., Portland, OR (US);

Inventors:

Elizabeth Marjory Orr, Portland, OR (US);

Gary Todd Johnson, Portland, OR (US);

Neel Banerjee, Portland, OR (US);

Assignee:

Airship Group, Inc., Portland, OR (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06N 20/00 (2019.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0202 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
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.


Find Patent Forward Citations

Orr, Elizabeth. (2022). Churn prediction with machine learning (U.S. Patent No. 11232465). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11232465

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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