Systems and methods relate to display of insights, including a system including a remote computing system configured to cause a user display to display a graphical user interface (GUI), wherein the GUI enables a user to select a time range and a locale, the GUI displays a list of a plurality of media content that have been displayed on one or more digital displays associated with the locale, each of the plurality of media content being listed according to impression counts of each of the plurality of media content for the locale selected and the time range selected, and each of the impression counts is a count of views by people of a respective media content of the plurality media content on the one or more digital displays of the locale.

Master computing device and method for determining an actual number of impressions provided by a synchronized group of devices comprising the master and one or more slave computing device. The master device transmits a synchronization request to the slave device(s) and determines a number of negative responses received from the slave device(s) in response to the synchronization request. A negative response indicates that one slave device is not capable of displaying digital content. The master device determines a number of displays D capable of displaying digital content based on the number of negative responses received. The master device determines a metric representative of the actual number of impressions provided by the master device and the slave device(s). The metric is calculated based on the number of displays D. The master device transmits the metric to a server and the server calculates the actual number of impressions using the metric.

An advertising network includes a first network server containing real world media of consumers from a live event, a second network server containing sample media, virtual world media, and supporting meta data belonging to vendors, merchants, or service providers, a server interface to the first server distributed to consumer and third party computing appliances and a non-transitory medium resident on the first server containing machine-readable code thereon, the code instructing the first server to (a) process the real world media against sample media to identify virtual objects associated with virtual world media and supporting meta data, (b) upon recognition of a virtual object(s), retrieving associated virtual world media and supporting meta data, (c) integrating the retrieved virtual world media and supporting meta data with the real world media producing an augmented reality overlay layer, and transmitting that to a computing appliance operated by the consumer for display and interaction.

One or more computing devices, systems, and/or methods for aggregated cost per action prediction are provided. Cost and conversion count data, comprising costs for a set of content items to be displayed to users and a count of conversions corresponding to actions performed by users in response to being provided with the set of content items, is tracked. The cost and conversion count data is inputted into a set of decay calculators that utilize different decay strategies. Cost per action predictions by the set of decay calculators for a content item are weighted to create an aggregated cost per action prediction, wherein the weights are based upon whether decay calculators correctly or incorrectly predicted cost per actions for the set of content items.

One or more computing devices, systems, and/or methods for selecting content items for transmission to client devices are provided. A first content item may be transmitted to a first set of client devices. A first request for content associated with a first client device of a second set of client devices may be received. A first bid value associated with a second content item may be selected. The first bid value may be modified based upon a second bid value associated with the first content item to generate a third bid value associated with the second content item. The second content item may be selected from a first plurality of content items for presentation via the first client device based upon a plurality of bid values having the third bid value. The second content item may be transmitted to the first client device.

One variation of a method for selectively serving advertising content comprises: receiving identification of an advertisement slot loaded within a webpage; receiving a set of advertisement slot characteristics corresponding to the advertisement slot; accessing a model associating advertisement slot characteristics and user interactions with advertisements; for each target outcome, in a set of target outcomes, calculating an outcome score for the advertisement slot based on the set of advertisement slot characteristics and the model, the outcome score representing a probability of the user interacting with advertising content, presented within the advertisement slot, according to the target outcome; in response to a first outcome score, corresponding to a first target outcome, in the set of target outcomes, exceeding each other outcome score, assigning the first target outcome to the advertisement slot; and selecting a first advertisement, designating the first target outcome, for presentation within the advertisement slot.

Methods, systems, and media for estimating the causal effect of different content exposure levels are provided.

A method, apparatus and computer program product are provided herein for ascertaining a demand of promotions. An example method comprises receiving, from one or more consumers, at least one consumer request for at least one of one or more requested promotions or one or more requested providers, generating an aggregated list of the at least one of the one or more requested promotions or the one or more requested providers, ranking the aggregated list of the at least one consumer request, and causing one or more ranked lists to be distributed to at least one sales resource.

Technologies are provided for automated generation of directed content campaigns. The generated campaign can be optimized for performance. In some embodiments, a group of variations of attributes that define a directed content campaign can be generated and allocated traffic weights for respective impressions of the directed content campaign in a media outlet channel. The traffic weights can then be iteratively updated until a termination criterion is satisfied. At each iteration, the traffic weight can be updated by applying a machine-learning model to current performance metric values of respective impressions corresponding to the traffic weights. After termination of the updates to the traffic weights, a particular set of variations having traffic weights exceeding a threshold can be selected as directed content campaign having satisfactory performance. Those variations can be supplied to a requestor device for subsequent utilization.

In accordance with one or more aspects, service requesters (e.g., advertisers) and/or affiliates (e.g., providing data traffic) may be set up for operation on a performance exchange. In accordance with other aspects, performance and monitoring may be carried out for such advertisers and/or affiliates. In some embodiments, routing criteria is established for affiliates, and may include information for selecting data traffic resources such as advertisements and network links, to be routed by the affiliates for providing data traffic over disparate networks. Requests for distribution of the data traffic resources (e.g., advertisements, links for obtaining the data traffic) are received and a routing option is selected for the requests based on the routing criteria for affiliates and criteria associated with a service requester from which the request is received. The routing option may specify one or more affiliates via which the data traffic resources are to be routed.