Systems and methods are disclosed for conducting media lift studies for online advertising concurrently with operating an advertising campaign. While operating an advertising campaign for a first advertiser/client focused primarily on a set of intended ads and a specific targeted viewer audience, a non-intended ad is occasionally substituted to run in an ad slot, and is tracked as belonging to the first advertiser/client. The non-intended ad can be for example one of: an ad for a second advertiser/client; an alternate ad for the first advertiser/client; or a blank/unrelated ad. After the campaign, attribution results for the intended ads are adjusted according to those for non-intended ads to provide an indication of net media lift resulting from the intended ads—typically at no additional cost to the first advertiser/client. Analysis results may also be compared between different attribution data providers to determine which provide the more accurate attribution data.

A system to control programmatic advertising traffic that provides to a demand-side platform (DSP) server a desired amount and type of digital advertisement inventory data traffic from at least one real-time-bidding (RTB) advertising exchange. The system includes a network traffic management computing platform that receives the digital advertisement inventory data traffic over at least one network. The system also includes a toggle component of the network traffic management computing platform that restricts delivery of a portion and routes delivery of an unrestricted portion of the digital advertisement inventory data traffic to the DSP server based on pre-selected parameters. The toggle component also routes data representing a bid to the at least one RTB advertising exchange associated with the unrestricted portion of the digital advertisement inventory data traffic delivered to the at least one DSP server.

A media presentation and distribution system is communicatively coupled to a client device, which handles presentation of overlay-graphic items at the client device. The client device receives a media stream from the media presentation and distribution system via a network. The received media stream includes media content and one or more tags. The client device further identifies in the received media content, the one or more tags, which corresponds to the overlay-graphic items. The client device further identifies candidate time-periods in the media content based on the identified one or more tags in the media content. At least one presentation attribute for the overlay-graphic items is identified based on the identified one or more tags in the media content. The client device further presents the overlay-graphic items at the candidate time-periods om the media content based on the identified at least presentation attribute.

A media presentation and distribution system includes a verification server that handles dynamic verification of playback of media assets on a client device. The client device receives an asset stream of media assets that comprises one or more tags embedded in the media assets. The client device detects an asset identifier associated with each of the media assets during playback of each media asset on the client device, based on identification of a tag of the one or more tags. The verification server verifies the playback of the media assets on the client device based on received support information from the client device. The playback of the media assets are verified to satisfy defined asset delivery criteria and to identify and debug a deviation or one or more errors with the playback of the media assets.

The present disclosure is directed to systems and methods for programmatic digital advertisements that are personalized and uniquely targeted to individually-identified consumers via non-personal, but individually accessed devices. The consumer accessing a non-personal device is identified and data cookie pertaining to the user is created and sent to third-party programmatic advertising exchanges for the use in real time bidding, private marketplace deals, or programmatic guaranteed sales. This allows for personalized digital advertisements to be delivered to a specific user accessing a non-personal device.

Methods and computing apparatus for real-time online traveler segmentation. A machine learning classifier may be trained using computed feature vectors and associated tags corresponding with records in a training set. A machine learning classifier receives a feature vector comprising values of the plurality of features corresponding with an unidentified user in an online context. The machine learning classifier may determine an estimate of whether the unidentified user is a member or a non-member of a predetermined traveler category.

This invention refers to a method for performance-based pricing in offline media advertising. This method allows the generation of performance metrics—or analytics—for offline media advertising, making it possible for vendors and advertisers to understand and optimize the actual results offline media campaigns generate. Through such metrics, becomes possible the practice of a dynamic pricing model, one in which the offline media vendor is paid according to the result it delivers to each advertiser. Such analytics are generated in real time, continuously, by a neutral, unbiased third-party platform, allowing offline media vendors and advertisers to trade based on these performance-based metrics. Such method comprises, in short: —a platform that connects offline media vendors and advertisers and their agencies; —a platform that measures the performance of offline media campaigns, through the measurement of customers' engagement; —a platform that allows media vendors and advertisers to reach a commercial deal through a process of dynamic pricing; —a platform that allows media optimization for both offline media vendors and advertisers.

Systems and methods for improving the liquidity and distribution network for luxury and other illiquid items are provided. These systems and methods preferably include the trading of futures and options contracts, which will provide the liquidity and distribution network for luxury items. Possible embodiments of these systems and methods include the trading of futures and options contracts for diamonds and wine. Another embodiment of this invention preferably includes generating indexes for diamond prices, wine prices, luxury item prices, housing values, mortgage prepayments, privately-held companies or for anything with from sufficiently liquid points of value. Another embodiment of this invention preferably includes a centralized data base for retrieving closing and current auction prices for determining the value of, and best method for the auctioning of various items. The data provided by this data base would improve liquidity by creating greater price transparency.

A system and method for selecting portions of content, and media content sets to be delivered over a packet based network is provided. The selected portions of content (such as a web page) may be keywords such as a word or a group of words. The media content sets may include one or more of video content (that may include an audio portion), audio content, graphics, images, or other multimedia or single media content. The media content set may include advertising, informational, business, educational, governmental, institutional, customized (e.g., personalized) content and/or other content. According to an example embodiment, the present invention provides a heuristic model employing a piece-wise linear optimization function to select keywords and the media content sets for delivery by a media delivery provider.

The present invention is directed towards methods and systems for matching, by a demand side service, an advertisement with an impression from a plurality of impressions available across a plurality of impression opportunity providers. A demand side service executing on one or more servers may receive a request to bid for placement of an advertisement on one or more impression opportunities available across a plurality of impression opportunity providers. The demand side service may further determine an impression opportunity from the plurality of impression opportunities to bid on. In addition, the demand side service may communicate, via a network, one or more bids via an interface to an impression opportunity provider of the plurality of impression opportunity providers. The demand side service may complete a transaction to procure the impression opportunity from the impression opportunity provider responsive to a winning bid from the one or more bids.