Abstract: User action data, quantifying the actions of the user in a physical establishment, can be obtained through various forms of tracking and monitoring that can be implemented by software or hardware infrastructure supported by physical establishment, and agreed to by the user. Such user action data is obtained from multiple physical establishments, which, in combination with tracking of user actions in an online environment, provides a more accurate basis on which to determine a user's intent to act upon an item, a user's affinity for items associated with a specific entity, or combinations thereof. User intent can be quantified in terms of predetermined levels of intent. User content and user entity affinity provide a more accurate basis on which to proactively offer user aid to facilitate the user's acquiring of items, or otherwise make more efficient the user's activities with respect to such items.

Abstract: Systems and methods, and other embodiments, for processing in-store events regarding the location of a mobile device user are presented. Data regarding a plurality of physical stores is maintained, where the data comprises, for each of the plurality of physical stores, a web site comprising a plurality of web pages, each web page corresponding to a location with the physical store. While a mobile device user is within a physical store, in-store events regarding the mobile device user are repeatedly received. A corresponding implicit request for a web page corresponding to location information of the in-store events is generated and supplemental content from the web page, returned in response to the implicit request, is presented to the mobile device user.

Abstract: Systems and methods, and other embodiments, for processing in-store events regarding the location of a mobile device user are presented. Data regarding a plurality of physical stores is maintained, where the data comprises, for each of the plurality of physical stores, a web site comprising a plurality of web pages, each web page corresponding to a location with the physical store. While a mobile device user is within a physical store, in-store events regarding the mobile device user are repeatedly received. A corresponding implicit request for a web page corresponding to location information of the in-store events is generated and supplemental content from the web page, returned in response to the implicit request, is presented to the mobile device user.

Abstract: User action data, quantifying the actions of the user in a physical establishment, can be obtained through various forms of tracking and monitoring that can be implemented by software or hardware infrastructure supported by physical establishment, and agreed to by the user. Such user action data is obtained from multiple physical establishments, which, in combination with tracking of user actions in an online environment, provides a more accurate basis on which to determine a user's intent to act upon an item, a user's affinity for items associated with a specific entity, or combinations thereof. User intent can be quantified in terms of predetermined levels of intent. User content and user entity affinity provide a more accurate basis on which to proactively offer user aid to facilitate the user's acquiring of items, or otherwise make more efficient the user's activities with respect to such items.

Abstract: Providing discounts to users in a physical store location. The method includes detecting that a user has stopped at a given location in the physical store. The method further includes, based on the location, identifying a set of products. The method further includes, providing an identification of the set of products to an ad server. At the ad server an auction is initiated between different product promoters to identify ads to be provided to the user. The method further includes, receiving from the ad server one or more ads to be provided to the user based on the results of the ad auction. The method further includes, providing the one or more ads to the user.