Systems and methods for churn prediction

US10949771B2 · kind B2 · utility

Assignee

• FACEBOOK, INC. · US

Inventors

• Vincent Gonguet · San Francisco, US
• Aude Hofleitner · San Francisco, US
• Sofus Attila Macskassy · Palo Alto, US
• Steven James Jarrett · Alameda, US
• Aruna Bharathi · San Jose, US
• Zhiliang Ma · San Jose, US

Key dates

• Filing date: Jan 28, 2016
• Grant date: Mar 16, 2021
• Expiry date: Sep 13, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q50/01
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems, methods, and non-transitory computer-readable media can collect past user information and churn data for a plurality of users. A churn prediction model is trained using the past user information and churn data. A churn propensity score is calculated for a present user based on the churn prediction model, the churn propensity score indicative of the likelihood of the present user to churn.