Provided is a method for providing product data to a user. The method may include receiving query data associated with a plurality of queries of a database by a user. A classification for at least two queries of the plurality of queries may be determined. A product associated with the classification of the at least two queries may be determined. A potential revenue associated with the product may be calculated based on the user. A probability that the user will purchase the product may be calculated. A score may be calculated based on the potential revenue and the probability that the user will purchase the product. Product data associated with the product may be transmitted to the user if the score exceeds a threshold. A system and computer program product are also disclosed.

A device and method, as disclosed herein, are operable to receive reference data during an in-process period that occurs while an advertising campaign is implemented based on purchase data. The reference data includes first reference data arranged in accordance with a first data organization. The reference data also includes second reference data arranged in accordance with a second data organization that differs from the first data organization. The purchase data includes an actual rate related to one or more ad placements. During the in-process period, with respect to the at least one ad placements, the device and method are operable to determine a plurality of metrics related to the one or more ad placement. The metrics depend at least partially on the reference data. Also, during the in-process period, the device and method are operable to determine a target rate related to the one or more ad placements. The target rate depends at least partially on a plurality of the metrics. The device and method are operable to cause an output device to indicate information based on a difference between the target rate and the actual rate related to the one or more ad placements.

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.

Systems and methods related to resource distribution for a fleet of machines are disclosed. A system may include a fleet of machines each having an associated resource capacity and a resource requirement to perform a task. The system may further include a controller having a resource requirement circuit to determine an aggregated amount of the resource requirement and an aggregated amount of the resource capacity. A resource distribution circuit may adaptively improve, in response to an aggregated amount of the resource capacity, an aggregated resource delivery of the resource.

A system and method for providing and synthesizing data for publishers operating in the connected television ecosystem. Data from third party reporting platforms may be combined to present a unified view. Audience engagement may be measured, observed, and combined in a novel manner, providing unique insights to users.

A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.

Provided is a method for providing product data to a user. The method may include receiving query data associated with a plurality of queries of a database by a user. A classification for at least two queries of the plurality of queries may be determined. A product associated with the classification of the at least two queries may be determined. A potential revenue associated with the product may be calculated based on the user. A probability that the user will purchase the product may be calculated. A score may be calculated based on the potential revenue and the probability that the user will purchase the product. Product data associated with the product may be transmitted to the user if the score exceeds a threshold. A system and computer program product are also disclosed.

A method for distributing an electronic content item for consumption with advertisements is provided. In one embodiment, a content provider creates a license identifying one or more slots within an electronic content item at which advertisements are to be inserted. The license specifies one or more types of advertisements that are not permitted to be inserted into the slots, and also specifies criteria for dynamically selecting advertisements to insert into the one or more slots. The content provider securely associates the electronic license with the electronic content item and distributes the electronic content item and the electronic license to a third party for consumption or subsequent transfer to an end user.

Systems, methods, and other embodiments associated with computing and generating schedule data structures for items in a display are described. In one embodiment, a method includes accessing a sales data structure corresponding to a store and analyzing sales records for items associated with subcategories to calculate a subcategory profit contribution score for each subcategory. The method may also include selecting a first subcategory from the subcategories as a candidate subcategory of items and analyzing the sales records to calculate an item profit contribution score for each of the items assigned to the candidate subcategory. A first item is selected from the candidate subcategory to be placed on a promotional display space, based upon the item profit contribution score of the first item. A schedule data structure is generated that assigns the first item to the promotional display space.

Disclosed examples determine a unique audience exposed to media while reducing memory resources of a computing device. Example instructions program programmable circuitry to log a plurality of impressions corresponding to media accessed at client devices; generate a first value based on a count of the impressions and a count of users of a database proprietor that accessed the media; generate a second value based on the first value and a count of demographic impressions logged by the database proprietor; and determine a unique audience size based on the second value.