Patents by Inventor Kevin Suer

Kevin Suer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for predicting churn in a multi-tenant system
    Patent number: 11880851
    Abstract: Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.
    Type: Grant
    Filed: December 27, 2022
    Date of Patent: January 23, 2024
    Assignee: Zuora, Inc.
    Inventors: Carl Gold, Dashiell Stander, Kevin Suer
  • SYSTEMS AND METHODS FOR PREDICTING CHURN IN A MULTI-TENANT SYSTEM
    Publication number: 20230368222
    Abstract: Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.
    Type: Application
    Filed: December 27, 2022
    Publication date: November 16, 2023
    Inventors: Carl Gold, Dashiell Stander, Kevin Suer
  • Systems and methods for predicting churn in a multi-tenant system
    Patent number: 11538049
    Abstract: Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.
    Type: Grant
    Filed: June 4, 2019
    Date of Patent: December 27, 2022
    Assignee: Zuora, Inc.
    Inventors: Carl Gold, Dashiell Stander, Kevin Suer
  • SYSTEMS AND METHODS FOR PREDICTING CHURN IN A MULTI-TENANT SYSTEM
    Publication number: 20190370833
    Abstract: Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.
    Type: Application
    Filed: June 4, 2019
    Publication date: December 5, 2019
    Applicant: Zuora, Inc.
    Inventors: Carl Gold, Dashiell Stander, Kevin Suer