A method of identifying targeted content includes deploying a plurality of internet bots configured to interact with content sources using predetermined patterns and profiles, wherein each individual internet bot of the plurality of internet bots includes at least one characteristic that is unique relative to the rest of the plurality of internet bots, collecting cause and effect data related to cause and effect of user interactions with content sources, receiving the cause and effect data collected by the plurality of internet bots, correlating user interactions with content sources using the cause and effect data collected by the plurality of internet bots, and identifying, how content is targeted to users by content sources from the correlating.

The present disclosure is directed toward systems and methods for providing consistent test versions of an A/B tested web page in an A/B test. For example, one or more embodiments described herein generate an A/B test mapping that associates ranges of identifiers with test versions of an A/B tested web page. Additionally, embodiments described herein generate a web page visitor token based on a random number that corresponds to a single identifier within the mapping. Each time the web page visitor requests the A/B tested web page, systems and methods described herein utilize the visitor token to consistently provide the same test version of the A/B tested web page to the web page visitor.

Multi-computing device network based cross-device conversion determination is described. A content selection computer server can identify cross-device conversions. A first computing device accesses third-party content via a first computer network connection. A second computing device accesses a webpage of the third-party content provider via a second computer network connection. The first and devices can be logged into a same online account. The content selection computer server can obtain, via a content tag that includes a script that executes on a webpage that includes the third-party content, data indicating that the first computing device accessed the third-party content. The selection computer server determines the conversion from the content tag and the second computing device having accessed the webpage. Based on a percentage of first and second sets of computing devices that have logged into common respective online accounts, the content selection computer server extrapolates an estimated number of cross-device conversions.

A system receives a marketing campaign from an advertiser. The marketing campaign identifies tasks to be performed by users on social networks. The system provides a cellular message to each of the plurality of cellular devices. The system retrieves a plurality of activities performed by each of the users of the plurality of cellular devices at each of the one or more social networks. The system identifies, for a user of the users, that the user performed activities responsive to receiving the cellular message identifying the advertiser. The system determines that the activities match the tasks included in the marketing campaign. The system then provides, to the cellular device of the user via at least one of the one or more social networks, a notification identifying the advertiser in response to determining that the one or more activities match the one or more tasks included in the marketing campaign.

An advertising method, device and system, and a computer-readable storage medium are provided. The method includes: acquiring user information; sending the user information to a server that stores an advertising requirement, wherein the advertising requirement includes an advertisement content and an advertising condition of the advertisement content; receiving an advertising instruction of the advertisement content from the server, wherein the advertising instruction of the advertisement content is generated by the server when the user information meets the advertising condition of the advertisement content; and playing the advertisement content in response to the advertising instruction.

In an embodiment, one or more ad data sets are received at a first processor. The ad data sets may be partially encoded or encrypted to prevent the processor from viewing certain visitor information. The ad data sets are merged together around common users or order IDs. An attribution credit is applied to each advertising event, creating an attribution data set. The data in the attribution data set is aggregated according to each advertising event, and based on the aggregated results, an advertising recommendation is calculated and sent to the advertising entity.

A computer-implemented method and system for advertising that performs the steps of delivering an electronic advertisement comprising one or more menu options and a reference to a network location for retrieving specified content associated with each menu option for inclusion in a first electronic document, receiving a selection of one or more menu options from the electronic advertisement and delivering a subsequent accessible document including content from the referenced network location associated with the menu option selected, the subsequent accessible document including the electronic advertisement.

Disclosed are systems, methods, and non-transitory computer-readable media for determining user engagement with a content item. A computing device accesses at least one image of eyes of a user that is captured while a client device is presenting a first content item on a display of the client device. The computing device determines, based on using the at least one image as input in a neural network, a gaze of the user. The gaze including coordinates at which the user is looking in relation to the client device. The neural network was trained based on machine generated images of a modeled human user looking at various coordinates. The computing device determines, based on the gaze of the user, an engagement score for the user. The engagement score indicates a level of engagement of the user with the first content item.

Methods, apparatus, systems and articles of manufacture to monitor media presentations are disclosed. An example apparatus includes a registrar, implemented by a processor, to receive demographic information from a user, to transmit the demographic information to a central facility, and to store 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. The first instrumented application is to 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.

The present disclosure may provide a stand-alone application, API, or SDK, configured to, for example, but not be limited to: i) register digital assets, physical assets, virtual assets, brand assets, media assets, and mobile assets associated a platform Admin (e.g., an AppAddress), ii) associate content to be delivered in response to an activation of those assets (e.g., an AdDrop), including interactivity criteria, if applicable, iii) specify triggers for delivering the AdDrop (e.g., space/time/event) and target consumer profiles for receiving the AdDrop (e.g., Gender/Demographic/Propensity/Interest/Behavior/Etc.), iv) transmit interactive AdDrop for engaging the consumer at the right time/place, with the targeted profile, and v) track user engagement and provide analytics on consumer engagement.