Abstract: Prescreened electronic programs or products that are automatically determined for a specific potential entity based on characteristics and/or geographic location, then can be automatically ranked based on calculated expected values of respective programs or products. The ranked programs or products are digitally/electronically presented in an interactive graphical user interface to the specific entity for digital selection and application.
Abstract: A computing system is configured to analyze historic data generated by an optimization system to provide recommended weightings for placement of creatives on publisher's pages. The weightings may be generated by providing forecasting the likelihood that a particular creative will lead to greater conversion or revenue compared to other creatives. The creatives may be grouped into one or more phases based on the amount of statistical data available for analyzing the particular creatives such that new creatives are given sufficient weighting to receive impressions despite the lack of historical data for a creative. Performance of placed creatives may be tracked by the passing of URLs with information attached to identify the particular creative and placement.
Type:
Grant
Filed:
June 9, 2022
Date of Patent:
January 23, 2024
Assignee:
CPL ASSETS, LLC
Inventors:
Jonathan Frederick Ripper, Steven Ostrover, Henry H. Varbedian
Abstract: In one embodiment, a system for predicting imputed revenue of inquiries includes: one or more computing devices comprising computer hardware and configured to: obtain data relating to a plurality of inquiries. Each of the plurality of inquiries is (a) indicative of a request for information about one or more programs providing a service, and (b) received from a particular channel of a plurality of online channels for presenting the one or more programs. The plurality of inquiries are represented using one or more data structures in one or more data sources. The computing devices are further configured to determine a model for predicting enrollment rates of the plurality of inquiries based at least in part on historical enrollment data of at least one program of the one or more programs, the model specifying a predicted enrollment rate value for one or more characteristics associated with the plurality of inquiries.
Type:
Grant
Filed:
June 9, 2022
Date of Patent:
January 16, 2024
Assignee:
CPL ASSETS, LLC
Inventors:
Steven Ostrover, Jonathan Frederick Ripper
Abstract: A computing system is configured to analyze historic data generated by an optimization system to provide recommended weightings for placement of creatives on publisher's pages. The weightings may be generated by providing forecasting the likelihood that a particular creative will lead to greater conversion or revenue compared to other creatives. The creatives may be grouped into one or more phases based on the amount of statistical data available for analyzing the particular creatives such that new creatives are given sufficient weighting to receive impressions despite the lack of historical data for a creative. Performance of placed creatives may be tracked by the passing of URLs with information attached to identify the particular creative and placement.
Type:
Grant
Filed:
August 31, 2015
Date of Patent:
July 12, 2022
Assignee:
CPL ASSETS, LLC
Inventors:
Jonathan Frederick Ripper, Steven Ostrover, Henry H. Varbedian
Abstract: In one embodiment, a system for predicting imputed revenue of inquiries includes: one or more computing devices comprising computer hardware and configured to: obtain data relating to a plurality of inquiries. Each of the plurality of inquiries is (a) indicative of a request for information about one or more programs providing a service, and (b) received from a particular channel of a plurality of online channels for presenting the one or more programs. The plurality of inquiries are represented using one or more data structures in one or more data sources. The computing devices are further configured to determine a model for predicting enrollment rates of the plurality of inquiries based at least in part on historical enrollment data of at least one program of the one or more programs, the model specifying a predicted enrollment rate value for one or more characteristics associated with the plurality of inquiries.
Type:
Grant
Filed:
December 10, 2020
Date of Patent:
July 12, 2022
Assignee:
CPL ASSETS, LLC
Inventors:
Steven Ostrover, Jonathan Frederick Ripper
Abstract: In one embodiment, a system for predicting imputed revenue of inquiries includes: one or more computing devices comprising computer hardware and configured to: obtain data relating to a plurality of inquiries. Each of the plurality of inquiries is (a) indicative of a request for information about one or more programs providing a service, and (b) received from a particular channel of a plurality of online channels for presenting the one or more programs. The plurality of inquiries are represented using one or more data structures in one or more data sources. The computing devices are further configured to determine a model for predicting enrollment rates of the plurality of inquiries based at least in part on historical enrollment data of at least one program of the one or more programs, the model specifying a predicted enrollment rate value for one or more characteristics associated with the plurality of inquiries.
Type:
Grant
Filed:
April 17, 2020
Date of Patent:
January 19, 2021
Assignee:
CPL ASSETS, LLC
Inventors:
Steven Ostrover, Jonathan Frederick Ripper
Abstract: In one embodiment, a system for predicting imputed revenue of inquiries includes: one or more computing devices comprising computer hardware and configured to: obtain data relating to a plurality of inquiries. Each of the plurality of inquiries is (a) indicative of a request for information about one or more programs providing a service, and (b) received from a particular channel of a plurality of online channels for presenting the one or more programs. The plurality of inquiries are represented using one or more data structures in one or more data sources. The computing devices are further configured to determine a model for predicting enrollment rates of the plurality of inquiries based at least in part on historical enrollment data of at least one program of the one or more programs, the model specifying a predicted enrollment rate value for one or more characteristics associated with the plurality of inquiries.
Type:
Grant
Filed:
March 9, 2016
Date of Patent:
June 2, 2020
Assignee:
CPL ASSETS, LLC
Inventors:
Steven Ostrover, Jonathan Frederick Ripper