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
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
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
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
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