A system and method for tracking users across a plurality of media platforms are provided. The method includes generating unified user-level data of each user across the media of advertising platforms; storing the unified user-level data generated for each user in a storage; taping into the plurality of advertising platforms to render pixel trafficking data; and analyzing raw data based on which the unified user-level data is generated.

Automated methods are provided for determining a user's likely exposure to media content being output by a media device based on user interactions with a mobile device that is monitoring the media content being outputted by the media device. When a user interacts with their mobile device, such as by using telephone functionality on the mobile device, or by interacting with an application on the mobile device, media content being played on a media device that is in proximity of the media device is sensed and detected using automatic content recognition technology. Media impressions are recorded for the detected media impression.

Disclosed are various embodiments for determining an expected number of times that content may be served in conjunction with a user interface. A forecasting model for determining an expected bid requests inventory is generated, wherein a bid request indicates an opportunity to submit a bid to present content in conjunction with a user interface. A bid success rate is determined. An expected impressions inventory is determined based on the expected bid requests inventory and the bid success rate.

A method, system, and computer program product identifies attribution of small signal stimulus in noisy response channels. Using machine-learning techniques in a computer, a small signal correlation engine correlates time series stimuli data vectors to time series response data vectors, and generates correlation coefficients that identify contributions of event notifications, including small signal attributes, to aggregated response data. Also using machine-learning techniques in a computer, a learning model simulates variations of stimuli data to predict user responses using the correlation coefficients, including computing a contribution of the small signal attributes of an event notification.

Methods and systems for displaying a summary of a performance of an advertising campaign are described. A system identifies advertising campaign goals of an advertising campaign. The system identifies, based on the identified goal, metrics that drive a performance of the campaign. The system identifies, for each metric, dimensions corresponding to the metric that influence a performance of the metric. The system determines, for a subset of the dimensions, that a predetermined number of criteria corresponding to the dimension contribute at least a predetermined threshold percentage of the metric. The system generates, for each metric, cards corresponding to the subset of the identified dimensions. Each card corresponds to a respective dimension and includes a graphic that identifies, for each of the predetermined number of criteria, a contribution provided by the criteria towards the performance of the metric. The system displays a subset of the cards in response to a request.

A street furniture system and interconnected digital billboard consists of a plurality of connectivity stations, a centralized display unit, and a power source. The plurality of connectivity stations and the centralized display unit are powered through the power source. A central processing unit (CPU) of each of the plurality of connectivity stations and a CPU of the centralized display unit communicably couples the plurality of connectivity stations and the centralized display unit. Therefore, by controlling a plurality of computing devices from each of the plurality of connectivity stations, the content displayed on a front display screen of the centralized display unit can be controlled. A global positioning system (GPS) module, a plurality of cameras, and a plurality of motion-detecting sensors of the centralized display unit are used to determine and display the most appropriate content on the front display screen.

In one embodiment, branded 3D digital assets are displayed on a client machine. The client machine is configured to determine a proportion of a branded 3D digital asset displayed on screen of a graphical user interface and obtain a percentage of the screen of the graphical user interface that the branded 3D digital asset is covering using a screen bounding function of a 3D engine of the online environment. A computer server is configured to receive an objective related to a placement of the branded 3D digital asset, the objective determining when to display the branded 3D digital asset. The server then determines whether the objective has been achieved, and if so, prevents display of the branded 3D digital asset for a predetermined period of time.

In general, embodiments of the present invention provide systems, methods and computer readable media for data record compression using graph-based techniques.

An audience measurement service may monitor broadcasts in a region, ingesting closed captioning data, metadata, displayed text or logos, performing facial recognition on people, and/or generating audio/video fingerprints of broadcast content to create a database of content and associated keywords, along with times at which the content was broadcast. The audience measurement service may receive user search queries from a search provider and detect spiking queries. The audience measurement service may determine whether the spiking queries are related, contextually and temporally, to an item of content identified in the database, and infer that users generating the queries likely viewed the item of content. In some implementations, the audience measurement service may also infer that the users likely viewed other items of content (e.g. advertisements) displayed during the prior or subsequent few minutes on the same broadcast channel as the query-triggering item.

Provided is a process, including: obtaining a coupon issued by a merchant, the coupon being redeemable both on-line, at the merchant's website, and in-store, at a physical location of the merchant; sending the coupon to publishers for presentation to consumers by the publishers on user devices of the consumers; and receiving indications from the user devices of the consumers that the consumers interacted with the coupon, the indications indicating a consumer selection of an in-store redemption option or an on-line redemption option.