An automatic system facilitates selection of media properties on which to display an advertisement, responsive to a profile collected on a first media property, where a behavioral-targeting company calculates expected profit for an ad correlated with the profile and arranges for the visitor to be tagged with a tag readable by the selected media property. The profit can be calculated by deducting, from the revenues that are expected to be generated from an ad delivered based on the collected profile, at least the price of ad space at a media property where the BT company might like to deliver ads to the profiled visitor. When the calculated profit is positive (i.e., not a loss), the BT company arranges for the visitor to be tagged with a tag readable by the selected media property through which the BT company expects to profit.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

A media enhanced shopping cart system comprises a shopping cart, a locationing component, and a display component for displaying at least one advertisement for a product based on the location of the shopping cart within the store, wherein the locationing component is further operable to determine a location of the product within the store relative to the shopping cart, and wherein the display component is further operable to display an indication of the location of the advertised product relative to the location of the shopping cart.

A system that incorporates teachings of the present disclosure may include, for example, a device having a memory and a processor coupled to the memory. The processor can be operable to transmit a radio frequency signal directed to a radio frequency identifier tag carried by a first item, receive usage information from the radio frequency identifier tag, determine a measure of wear and tear of the first item from the usage information, compare the measure of wear and tear to a threshold, detect from the comparison a state of usage of the first item, and submit a notice representative of the state of usage of the first item. Other embodiments are disclosed.

A method of delivering advertising items to a client at a portable device is provided. A client ID is sent to a host server. A downloaded advertising item is produced relative to a product or service from the host server. The downloaded advertising item is parsed and stored. In response to the parsing and storing, displaying the advertising item is displayed to the client at the mobile device.

An example system includes an analyzer to determine a first distance between (1) a first peak in a first frequency band of first neuro-response data gathered from a subject while exposed to media and (2) a second peak in the first frequency band; determine a second distance between (1) a third peak in the first frequency band and either (2) the second peak in the first frequency band or (3) a fourth peak in the first frequency band and determine a first difference between the first distance and the second distance. The example system includes a selector to determine a modification for the media based on the first difference and a modifier to implement the modification for presentation of the media.

Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC-panels throughout store at product, displays with demographics and MAC-single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

A method for providing one way trust via a third party advertisement presenter includes creating one or more advertisement campaigns which are delivered though a third party advertisement presenter's cookies, mapping the third party advertisement presenter's cookies to a demand side platform's cookies, providing the corresponding third party advertisement presenter's cookies via the demand side platform's cookies if the websites accessed by the individual include advertising space the demand side platform is bidding on, and delivering the one or more advertisement campaigns to the individual through the corresponding third party advertisement presenter's cookies.

A server system is provided for analyzing user interaction in an environment. The server system comprises a memory storing a set of instructions and a processor configured to execute the instructions to perform operations including determine a user has interacted with an item positioned in the environment based on a communication signal received from a hub physically located in the environment indicating an item tag associated with the item is linked with a user tag associated with the user. The server system may identify, based on one or more communication signals received from the hub, at least one metric associated with the user's interaction with the item and compare the at least one metric with a set of rules associated with the type of metric. The server system may provide an indication, based on the comparison, to a display device.

An ad bidder receives a request from a user device to select an advertisement (“ad”) for presentation along with a web page. The ad bidder includes a user profile database and may be a social networking system. The ad bidder determines if the user of the user device is logged into the ad bidder and selects the advertisement based on information in the user profile database if the user is logged into the ad bidder. If the ad bidder determines the user is not logged into the ad bidder, the ad bidder retrieves a device cookie stored on the user device. The device cookie describes interactions with content from the user device, such as viewed web pages or ads. Data stored by the device cookie is then used to select the ad for presentation.