Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention relates to an advanced search engine. The advanced search engine may include a client component for monitoring an end-user's browsing activity, a remote server (may comprise one or more computers) for storing and processing data received from the client component, and a module that process web pages and serves search results to end-users. The advanced search engine may collect web pages for keywords of proven interest, fetch web pages requested by end-users, generate snippets or abstracts of the web pages, eliminate duplicate web pages, rank the importance of the web pages, and provide relevant web pages or links to web pages in response to an end-user search request for information regarding one or more keywords, for example. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to an advanced search engine. The advanced search engine may include a client component for monitoring an end-user's browsing activity, a remote server (may comprise one or more computers) for storing and processing data received from the client component, and a module that process web pages and serves search results to end-users. The advanced search engine may collect web pages for keywords of proven interest, fetch web pages requested by end-users, generate snippets or abstracts of the web pages, eliminate duplicate web pages, rank the importance of the web pages, and provide relevant web pages or links to web pages in response to an end-user search request for information regarding one or more keywords, for example. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to an advanced search engine. The advanced search engine may include a client component for monitoring an end-user's browsing activity, a remote server (may comprise one or more computers) for storing and processing data received from the client component, and a module that process web pages and serves search results to end-users. The advanced search engine may collect web pages for keywords of proven interest, fetch web pages requested by end-users, generate snippets or abstracts of the web pages, eliminate duplicate web pages, rank the importance of the web pages, and provide relevant web pages or links to web pages in response to an end-user search request for information regarding one or more keywords, for example. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: The present invention relates to an advanced search engine. The advanced search engine may include a client component for monitoring an end-user's browsing activity, a remote server (may comprise one or more computers) for storing and processing data received from the client component, and a module that process web pages and serves search results to end-users. The advanced search engine may collect web pages for keywords of proven interest, fetch web pages requested by end-users, generate snippets or abstracts of the web pages, eliminate duplicate web pages, rank the importance of the web pages, and provide relevant web pages or links to web pages in response to an end-user search request for information regarding one or more keywords, for example. Particular aspects of the present invention are described in the claims, specification and drawings.

Abstract: In one embodiment, a message server computer receives client data from a plurality of client computers. The client data may include consumer search, navigation, and/or behavioral information indicative of consumer preferred links for particular keywords. For example, the client data may include recordings of consumer actions across several, different search engines. Upon receipt of a search request for a keyword, a search engine may pass the keyword to the message server computer. The message server computer may generate a set of links determined to be relevant to the keyword based on client data received from the client computers. The search engine may include the set of links in a search result, and provide the search result to the consumer who made the search request. The search result advantageously includes links that are known to be preferred by other consumers performing searches on the Internet.