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 system and corresponding methods for automating the execution, measurement, and optimization of in-store promotional digital media campaigns are provided. In one embodiment, a method in a computing system for deploying content to digital signage networks includes receiving from a user a marketing campaign goal and at least one optimization constraint suitable for generating a playlist. The method also includes generating a playlist designed to maximize a learning opportunity to achieve the marketing campaign goal. The method further includes provisioning the playlist to a point of presence on the digital signage network.