Patents Assigned to Bliss Point Media, Inc.
  • Patent number: 11695990
    Abstract: Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.
    Type: Grant
    Filed: April 13, 2022
    Date of Patent: July 4, 2023
    Assignee: Bliss Point Media, Inc.
    Inventors: Justin Manus, Sean Odium, Anand V. Bodapati
  • Patent number: 11368752
    Abstract: Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: June 21, 2022
    Assignee: Bliss Point Media, Inc.
    Inventors: Justin Manus, Sean Odlum, Anand V. Bodapati
  • Patent number: 10939166
    Abstract: Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.
    Type: Grant
    Filed: October 8, 2019
    Date of Patent: March 2, 2021
    Assignee: Bliss Point Media, Inc.
    Inventors: Justin Manus, Sean Odlum, Anand V. Bodapati
  • Patent number: 10491951
    Abstract: Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.
    Type: Grant
    Filed: February 20, 2019
    Date of Patent: November 26, 2019
    Assignee: Bliss Point Media, Inc.
    Inventors: Justin Manus, Sean Odlum, Anand V. Bodapati
  • Patent number: 10257572
    Abstract: Introduced herein are methods and systems for determining machine learning marketing strategy. For example, a computer-implemented method according to the disclosed technology includes steps of identifying one or more business metrics to be driven by a marketing plan; generating one or more response functions of the business metrics by performing a machine learning process on a marketing dataset; optimizing a spending subject of the marking plan subject to constraints to generate a marketing strategy based on multiple decision variables; and presenting the marketing strategy to an advertiser.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: April 9, 2019
    Assignee: Bliss Point Media, Inc.
    Inventors: Justin Manus, Sean Odlum, Anand V. Bodapati