A method for generating a user interface for display of commodity information includes receiving commodity data from commodity providers; identifying in the commodity data a plurality of branded commodity offers and a plurality of non-branded commodity offers; generating a plurality of branded display elements from the plurality of branded commodity offers; generating at least one leading non-branded display element from the plurality of non-branded commodity offers; and organizing the plurality of branded display elements and the at least one leading non-branded display element into a matrix of display elements; wherein each of the branded display elements and the at least one leading non-branded branded display element includes a first action element responsive to selection in the user interface, wherein the first action element is configured to re-render a respective display element from a non-expanded view of the respective display element to an expanded view of the respective display element.

A machine may be configured to assign digital content campaign treatments to targets of a digital content campaign, at a server. For example, the machine access data pertaining to one or more characteristics of an application. The application is hosted on a client device. The data is stored at a server-side database. The machine determines that the one or more characteristics of the application match one or more targeting criteria associated with a digital content campaign. The digital content campaign includes a plurality of flights of a digital content item. The machine assigns a flight of the plurality of flights of the digital content campaign to the client device. The flight identifies a variant of the digital content item. The machine transmits a communication to the client device via a network. The communication includes a flight identifier associated with the flight.

A system for data management comprising a campaign data management system operating on a processor and configured to receive data identifying products and sales for each of a plurality of influencers. A campaign creation system operating on a processor and configured to receive a plurality of campaign rules from a user and to provide the plurality of campaign rules to the campaign data management system. Wherein the campaign data management system is configured to identify a subset of the plurality of influencers as a function of the plurality of campaign rules and the data identifying products and sales and to provide the subset of the plurality of influencers to an influencer selection system operating on a processor.

Techniques are provided for controlling resource usage in a computing environment. In response to receiving a content request, a set of candidate content delivery campaigns is identified. For a first candidate content delivery campaign in the set, an anticipated resource usage of a resource that is associated with the first candidate content delivery campaign is determined. The anticipated resource usage is determined based on (1) a resource reduction per event of each event in a set of detected events of a content item of the first candidate content delivery campaign and (2) a decay factor. Based on the anticipated resource usage, it is determined whether the first candidate content delivery campaign is to be removed from the set.

A system for and methods of providing targeted advertising and measuring effectiveness of the same is provided. The system includes a plurality of display devices associated with respective image capturing devices. The system is configured to determine a composite classification for groups of individuals engaged with or otherwise facing a display device, thereby assisting the system in identifying content to be displayed. Content is stored remotely and is categorized based on perceived effectiveness based on a number of factors, including location, time, demographics, and the like. While content is being displayed, the system is configured to assess a variety of actions, including attachment, dwell, rejection, and/or reattachment, as applicable, thereby assessing effectiveness of the content. Effectiveness of content is recorded for future reporting and/or for updating content categorization, thereby increasing reliability of identifying content in the future.

Systems, methods, and computer-readable media are disclosed for generating an online advertising campaign based on one or more advertising campaign parameters and selecting an advertisement of the advertising campaign for presentation in an available advertising slot. The advertising campaign parameter(s) may include one or more product identifiers. Advertisements of the advertising campaign may be presented in advertising slots available on network resources such as product detail pages associated with the product identifiers.

Disclosed are methods and systems for generating targeted advertising campaigns for a business-to-business (B2B) company. The method comprises retrieving historical data on one or more historical experiments; determining, using a prediction engine, a prediction of a goal metric by finding a pattern in a historical metric that influences the goal metric, where the historical metric is included in the historical data; determining, using the prediction engine, correlations between one or more experimental parameters and the goal metric, based on the prediction of the goal metric; training, using the prediction engine, two or more experimental parameter models for the goal metric, based on the correlations between the one or more experimental parameters and the goal metric; generating, using a campaigns engine, one or more new experiments, each associated with the goal metric, and based on the two or more experimental parameter models; and generating, using the campaigns engine, a targeted advising campaign comprising a selected number of the new experiments.

Systems, methods, and computer-readable storage media for attribution modeling using withheld or near impression data are provided. One method involves determining, for a first content item impression, withheld or near impressions for a competing content item within a content auction. The method further involves identifying a first set of paths including a sequence of events that includes an interaction with the first content item impression. The method further involves identifying a second set of paths, each including the sequence of events with the competing content item impression replacing the first content item impression. The method compares conversion metrics for the first and second paths to determine attribution credit for the first content item impression.

Systems, methods and articles for providing optimized scheduling of a log of spots to be delivered to consumers. The optimized scheduling allows content providers to autonomously satisfy contracts and increase revenue. An audience delivery optimizer system receives an initial log, generates an optimized log, and returns the optimized log so that content can be delivered to consumers according to the optimized log. The audience delivery optimizer system may use historical ratings data and may implement an algorithm to accurately project future delivery. The audience delivery optimizer system may evaluate and optimize a log that spans a particular period of time, such as a day, a week, a month, etc. The audience delivery optimizer system may evaluate over-performing contracts and under-performing contracts and may then optimize the placement of spots based on such evaluations. The audience delivery optimizer system may track liability or other metrics over determined periods (e.g., quarterly).

A first electronic message being widely disseminated can be identified. First content of the first electronic message can be analyzed and a determination can be made as to whether the first content satisfies at least a first criterion. Responsive to determining that the first content satisfies at least the first criterion, a second electronic message including second content can be automatically generated. Communication of the second electronic message to a first set of people can be initiated, and responses by the first set of people to the second electronic message can be monitored. A determination can be made as to whether the responses satisfy at least a second criterion. Responsive to determining that the responses satisfy at least the second criterion, the second electronic message can be communicated to at least a second set of people.