Abstract: Various embodiments use contextual data to improve the targeting of advertising campaigns to consumers. Contextual data may include, e.g., data pertaining to products purchased or sold, places associated with a purchase or sale, and persons involved in the purchase or sale transaction. The collected contextual data may have a temporal component and a location component. The collected contextual data also has a location component, meaning that the data is associated with a particular coordinate, address, region, or other location. Time and location information may be used to recognize that sales patterns vary based on various factors. Associating a timestamp and a location with each piece of contextual data allows the system in some embodiments to subsequently improve advertising campaign targeting using the timing and location data as described herein in some embodiments.

Abstract: A dynamic inventory management system and method for the identification of available inventory on a network of media devices and the optimal scheduling of campaigns, treatments, and content items on the available inventory. To optimize performance of the system, the dynamic inventory management system receives input data from a variety of sources. For example, the dynamic inventory management system receives audience metrics and campaign performance data from analytics systems, event and trigger data from event and trigger systems, and network, content, and campaign metadata from network management systems. The data received from these sources, when used in conjunction with additional rules and parameters that are received from system users, allows the dynamic inventory management system to allocate marketing campaigns, treatments, and content items to available inventory in a manner that is advantageous to both advertisers and to the network operator.

Abstract: A system and method to value media inventory for the display of marketing campaigns on a network of media devices. The system measures past marketing campaign performance and efficiency and assigns a campaign impact value to the advertising opportunity achieved by the execution of past campaigns. Summaries of the campaign impact of past campaigns are stored in a benchmarking archive. The system uses the data contained in the benchmarking archive in order to calculate the value of the network's media inventory, namely the capacity or availability of the network of media devices to play or display future campaigns. The value of the media inventory is used to appropriately assign media inventory to new campaigns that are to be shown on the network of media devices.

Abstract: Computational and computer-implemented methodological techniques are described for analyzing and presenting data on the audience response to audio and/or visual media advertising campaigns in public places. In various embodiments, these techniques employ a mechanism that assesses audience behavior to produce audience behavior data and audience exposure to produce audience exposure data, a network of display devices that records media events as media event data in a playlog, and a component that assembles the audience behavior data, audience exposure data, and media event data to produce data identifying media events that could have impacted audience behavior and data assessing campaign effectiveness as a measure of audience exposure.