Tvscientific, Inc.

Openx Technologies, Inc.

Jason Fairchild

David Koye

Qasim Saifee

Anke Audenaert

Stephan Cunningham

A scientific system and methods are disclosed for optimizing television (e.g., 'CTV' and “OTT”) advertising and related expenditure to maximize efficiency and return on investment (“ROI') for advertisers. The scientific system comprises an initial-feedback engine that develops and refines creatives or outcomes by creating and using an artificial intelligence (“AI”) engine that creates an initial feedback loop from social media platforms and subsequently uses an intelligent advertisement-selection engine that takes the highest performing advertising on the social media platforms and directs or imports them for connected television or over-the-top advertising. The system includes a performance engine that optimizes performance of the connected television and over-the-top advertising and then moves the winning combination of a creative or outcome resulting from the application inventory, the audience segment, the part of day, the frequency or the like to linear television purchase actions.

Scientific system and method for optimizing television advertising

A system and methods are disclosed for scoring audience responsiveness or exposure to viewing of paid content or advertising via connected television devices ('CTV') and/or over-the-top (“OTT”) delivery mechanisms. The scoring system and method determines relevant data and creates and records the relevant data in an “Ad Exposure File” and an “Advertiser Outcome File” and at regular intervals compares them to identify matches via overlapping combinations of IP Address/DID, Timestamp (for confirmation of appropriate recency) and recording a conversion event to the “Exposed Household Record.” of the appropriate household on the Ad Exposure File.

System and method for scoring audience responsiveness and exposure to television advertising

A system and methods are disclosed for linking video-game activation on gaming consoles to connected television ('CTV') or over-the-top (“OTT”) advertisement delivery. This system and method are implemented in a tracking and linking platform that is configured to trigger a “postback” call or signal when a gaming application is activated via a console to solicit advertising. In some embodiments, a “postback” call or signal trigger when different events occur, for example, observing different levels of achievement attained by gamers, in-game purchases or the like.

System and method for linking video-game activation on consoles to connected television advertisement delivery

A system and methods are disclosed for creating and using an audience-responsiveness analytics index for television advertising, in particular, advertising for connected television viewing. The audience-responsiveness analytics index may be configured to provide data obtained or acquired by measuring audience responsiveness to video advertising placed in streaming content viewed over connected televisions. The audience-responsiveness analytics index may be a graph used to optimize advertising with households assigned scores for multiple categories of advertising.

Audience responsiveness analytics index for television advertising

A system and methods are disclosed for creating and using a revenue value index to score impressions and users for purposes of determining fair pricing for advertisement ('ad') placement or to provide analytics and information to publishers for future use. The revenue value index may be configured to evaluate data obtained or acquired from first-party, publisher platforms and/or third-party platforms or other data sources for the purpose of valuing either ad impressions or the users engaging the websites on which ads are likely to be placed. The revenue value index may be utilized for either providing value information to entities (for example, publishers) or for measuring the value of ad impressions or users for use in determining fair pricing in real-time auctions conducted for ad placement.

System and methods for using a revenue value index to score impressions for users for advertisement placement

A scientific system and methods are disclosed for optimizing television (e.g., 'CTV' and 'OTT') advertising and related expenditure to maximize efficiency and return on investment (&#x201c;ROI') for advertisers. The scientific system comprises an initial-feedback engine that develops and refines creatives or outcomes by creating and using an artificial intelligence (&#x201c;AI&#x201d;) engine that creates an initial feedback loop from social media platforms and subsequently uses an intelligent advertisement-selection engine that takes the highest performing advertising on the social media platforms and directs or imports them for connected television or over-the-top advertising. The system includes a performance engine that optimizes performance of the connected television and over-the-top advertising and then moves the winning combination of a creative or outcome resulting from the application inventory, the audience segment, the part of day, the frequency or the like to linear television purchase actions.

Growing community of inventors

Rolling Hills Estates, CA, United States of America

Jason Fairchild