Methods and systems for determining cumulative reach information. Duplicated watching habits of viewers in a designated market can be analyzed using campaign spot plans. The campaign spot plans can be applied to single viewer data to calculate campaign spot plan Television Average Ratings Points (TARP) pattern information. The TARP pattern information can be translated into reach information. Cumulative reach information can be determined using the reach information.

A system and method for digital space estate management and content distribution is described. This system and method is comprised of an allotted number of time slots of fixed or variable duration, which are analyzed as digital space estates and devoted to content distribution. This system is configured to provide a web service portal which allows users to view available digital space estates, and either purchase them for a fixed price or variable price by proposing a higher acquisition offer amount than potential other users who have submitted offers on the same digital space estate. The system is further configured to utilize attributes of time slots and digital display nodes to recommend time slots to users. The system is configured to allow users to resell acquired digital space estates to other users. This system and method may further include a means of generating desirability index scores based on historical patterns of digital space estate purchases and feedback from location based analytics software systems employed on the various digital display nodes. This system and method may further be comprised of a smart node tracking system that uses data, in the form of feedback data such as video recordings and location based analytics software to make decisions on both the initial delivery of digital content and the readjustment of digital content for delivery to the advancing digital display node(s) along digitally projected future paths of the respective viewers in one of any number of geographic locations.

Methods and apparatus to monitor media presentations are disclosed. Disclosed example apparatus include memory, instructions, and at least one processor to execute the instructions to at least receive demographic information from a user, transmit the demographic information to a central facility, cause storage of a consent identifier in a pasteboard of the media device, the consent identifier accessible to a first instrumented application and a second instrumented application executed in a sandbox environment, the consent identifier to indicate to the first instrumented application and the second instrumented application that monitoring is allowed, access the consent identifier from the pasteboard, present media, generate monitoring information if the consent identifier permits collection of monitoring information, not generate monitoring information if the consent identifier does not permit the collection of the monitoring information, and transmit the monitoring information to the central facility.

Systems and methods for building a device graph for cooperative device identification are disclosed. Various information is received at a computing system over a communications network, include information defining a relationship between (i) a unique identifier associated with a first device of a user and (ii) a unique identifier associated with the user, and information defining a relationship between (i) a unique identifier associated with a second device of the user and (ii) the unique identifier associated with the user. The unique identifiers associated with the devices are each mapped to the platform-wide identifier based at least in part on the unique user identifier. A device graph comprising a plurality of device nodes is constructed, with related device nodes connected by one or more edges. Nodes representing the devices are linked based on a relationship identified between them using the platform-wide identifier.

Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.

Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics are provided. In some embodiments, the method comprises: receiving conversion information corresponding to test group including consumers that were presented with an advertisement using an advertising channel; receiving advertisement viewability information indicative of a probability that each of the consumers viewed the advertisement; determining that a subset of the consumers did not view the advertisement based on the probability; placing the consumers into a control group and a test group based on the probability corresponding to each of the consumers; calculating a causal conversion metric based on a comparison of the conversion information corresponding to consumers of the control group and conversion information corresponding to consumers of the test group; and determining whether to place an advertisement using the advertising channel based on the causal conversion metric.

The disclosure includes a system and method for generating virtual reality content. For example, the disclosure includes a method for generating virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data with a processor-based computing device programmed to perform the generating, providing the virtual reality content to a user, detecting a location of the user's gaze at the virtual reality content, and suggesting an advertisement based on the location of the user's gaze. Another example includes receiving virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data to a first user with a processor-based computing device programmed to perform the receiving, generating a social network for the first user, and generating a social graph that includes user interactions with the virtual reality content.

The present teaching relates to method, system, and medium for determining audience clusters to be assigned to an advertisement exposure opportunity. A plurality of advertisement exposure opportunities are obtained, wherein each of the plurality of advertisement exposure opportunities is to be used for placing an advertisement. For each of the plurality of advertisement exposure opportunities, a plurality of audience clusters are generated based on at least one criterion associated with the advertisement exposure opportunity. The plurality of audience clusters are ranked based on at least one ranking criterion, and ordered audience clusters are generated based on the ranking. The ordered audience clusters associated with the plurality of advertisement exposure opportunities in response to an event are updated, wherein the ordered audience clusters for each of the plurality of advertisement exposure opportunities are generated prior to receiving a request for placing the advertisement.

Systems and methods are provided for determining a quantity of network location visitors that are likely generated or encouraged by specific offline events. A corresponding number of leads may then be attributed to and associated with those specific events. Ongoing conversion activity of those visitors may be tracked and associated with the offline events. Conversions of those visitors may be attributed entirely or partially to one or more specific offline events. The effectiveness of each offline may then be evaluated based on aggregate lead and conversion information.

This document generally describes systems, methods, devices, and other techniques for efficiently distributing electronic content in a network. In one example, the techniques include a computer-implemented method. The method can include identifying, by a computing system, a keyword to evaluate with respect to a particular content provider, evaluating historical records of contribution offers for the keyword by a plurality of content providers in order to determine one or more estimated contribution offers, evaluating historical records of user interaction with content to determine estimated levels of user interaction with the content, determining efficiencies of the keywords based on the estimated levels of user interaction and estimated contribution offers, and modifying a distribution campaign based on the determined efficiencies.