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:
Nov. 25, 2025

Filed:

Aug. 02, 2022
Applicant:

Plume Design, Inc., Palo Alto, CA (US);

Inventors:

Yusuke Sakamoto, San Jose, CA (US);

Muhammad Ali Valliani, Houston, TX (US);

Nipun Agarwal, Fremont, CA (US);

Sachin Vasudeva, Fremont, CA (US);

Assignee:

PLUME DESIGN, INC., Palo Alto, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04W 24/02 (2009.01); H04L 41/0253 (2022.01); H04L 41/12 (2022.01); H04L 41/14 (2022.01); H04L 41/147 (2022.01); H04L 41/22 (2022.01); H04L 43/045 (2022.01); H04L 43/0876 (2022.01); H04L 43/0882 (2022.01); H04L 43/0888 (2022.01); H04L 43/0894 (2022.01); H04W 84/12 (2009.01);
U.S. Cl.
CPC ...
H04W 24/02 (2013.01); H04L 41/0253 (2013.01); H04L 41/12 (2013.01); H04L 41/14 (2013.01); H04L 41/22 (2013.01); H04L 43/045 (2013.01); H04L 43/0876 (2013.01); H04L 41/147 (2013.01); H04L 43/0882 (2013.01); H04L 43/0888 (2013.01); H04L 43/0894 (2013.01); H04W 84/12 (2013.01);
Abstract

Systems, methods, and non-transitory computer-readable storage media are provided for predicting the likelihood or probability of a subscriber of a service to cancel or not renew a subscription. A method, according to one implementation, includes a step of receiving data pertaining to aspects of a service that is provided by a service provider to a subscriber in accordance with a subscription. The data may include one or more impact factors each having a positive, neutral, or negative influence on the likelihood of subscriber churn. The method also includes a step of using the one or more impact factors to predict the likelihood that the subscriber will cancel the subscription.


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