Patents by Inventor Gary Todd Johnson

Gary Todd Johnson 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).

  • CHURN PREDICTION WITH MACHINE LEARNING
    Publication number: 20220138780
    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.
    Type: Application
    Filed: January 14, 2022
    Publication date: May 5, 2022
    Inventors: Elizabeth Marjory Orr, Gary Todd Johnson, Neel Banerjee
  • Churn prediction with machine learning
    Patent number: 11232465
    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.
    Type: Grant
    Filed: July 10, 2017
    Date of Patent: January 25, 2022
    Assignee: Airship Group, Inc.
    Inventors: Elizabeth Marjory Orr, Gary Todd Johnson, Neel Banerjee
  • Push reporting
    Patent number: 10586245
    Abstract: Push reporting is disclosed. A first payload comprising feature reporting information and meta information is received from a first device at a first time. A second payload comprising feature reporting information and meta information is received from a second device at a second time. At respective third and fourth times, respective third and fourth payloads are received from the first and second devices, respectively. The third and fourth payloads include additional feature reporting information and meta information. The processing of the information received from the first and second devices is coordinated. A request for information is received. Metrics are provided as output. The metrics are based at least in part on the processing of the information received from the first and second devices.
    Type: Grant
    Filed: July 17, 2018
    Date of Patent: March 10, 2020
    Assignee: Urban Airship, Inc.
    Inventors: Gary Todd Johnson, Erik A. Onnen, Dave K. Revell, Jeffrey A. Towle, Nathan A. Putnam
  • Push reporting
    Patent number: 10049378
    Abstract: Push reporting is disclosed. A first payload comprising feature reporting information and meta information is received from a first device at a first time. A second payload comprising feature reporting information and meta information is received from a second device at a second time. At respective third and fourth times, respective third and fourth payloads are received from the first and second devices, respectively. The third and fourth payloads include additional feature reporting information and meta information. The processing of the information received from the first and second devices is coordinated. A request for information is received. Metrics are provided as output. The metrics are based at least in part on the processing of the information received from the first and second devices.
    Type: Grant
    Filed: May 20, 2016
    Date of Patent: August 14, 2018
    Assignee: Urban Airship, Inc.
    Inventors: Gary Todd Johnson, Erik A. Onnen, Dave K. Revell, Jeffrey A. Towle, Nathan A. Putnam
  • CHURN PREDICTION WITH MACHINE LEARNING
    Publication number: 20180018684
    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.
    Type: Application
    Filed: July 10, 2017
    Publication date: January 18, 2018
    Inventors: Elizabeth Marjory Orr, Gary Todd Johnson, Neel Banerjee
  • Push reporting
    Patent number: 9369988
    Abstract: Push Reporting is disclosed. A first payload comprising feature reporting information and meta information is received from a first device at a first time. A second payload comprising feature reporting information and meta information is received from a second device at a second time. At respective third and fourth times, respective third and fourth payloads are received from the first and second devices, respectively. The third and fourth payloads include additional feature reporting information and meta information. The processing of the information received from the first and second devices is coordinated. A request for information is received. Metrics are provided as output. The metrics are based at least in part on the processing of the information received from the first and second devices.
    Type: Grant
    Filed: February 8, 2013
    Date of Patent: June 14, 2016
    Assignee: Urban Airship, Inc.
    Inventors: Gary Todd Johnson, Erik A. Onnen, Dave K. Revell, Jeffrey A. Towle, Nathan A. Putnam