Disclosed is a method that includes: profiling a set of mobile applications according to revenue-related parameters; tracking a user's interaction with a mobile application; scoring the user's interaction levels, and based on the score, grouping users into mobile analytics groups associated with the targeting profiles; facilitating the transmission of user information, user interaction data, and specific mobile analytics groups to advertising campaigns. The method may be executed on a digital device. A related system is disclosed.

A method and system is described including presenting a first SERP version to a first set of users and a second SERP version to a second set of users; assessing first and second measures of user interactions with the first and second version of the SERP respectively, the user interactions being of a pre-selected type; computing a first and a second distribution of the first and second measures of user interactions and analyzing the first and second distributions conjointly for determining a change in user interactivity. The analyzing can include determining a set of ratios; determining a lowest ratio indicative of a smallest relative change and a highest ratio being indicative of a largest relative change within the set of ratios; determining the magnitude of the change in user interactivity based on the lowest and highest ratios; and determining a significance of the magnitude of the change in user interactivity.

Provided are methods, systems, and media for Internet Advertising. Exemplary methods may include: providing an advertisement including a first identifier to a website using at least one of a template and an application programming interface (API), the advertisement to be displayed on the website; receiving a communications session initiated by an end customer using the first identifier, the communications session including a second identifier associated with the end customer; accepting the communications session when the second identifier is not included in a black list; retrieving a record associated with the end customer using the second identifier; determining to provide a promotional message to the end customer using the record; selecting an offer using the record; providing the promotional message to the end customer using the communications session, the promotional message including the offer and a request for an indication of interest.

A social media platform stores immersive videos and embedded affordances for each immersive video. Each embedded affordance has a temporal location, a spatial location, and a corresponding reward. A viewer selects and plays a first immersive video. While playing the first stored immersive video, the viewer navigates to different spatial portions of the first immersive video using a spatial visibility window. The viewer activates a first embedded affordance of the first immersive video according to the spatial and temporal location of the first embedded affordance. In response, the platform initiates the reward corresponding to the first embedded affordance. The reward includes a reward token deposited into an account corresponding to the viewer. The viewer later uses a redemption user interface to redeem a plurality of reward tokens from the account (including the deposited reward token) for a single aggregated reward.

A computer implemented method of adapting an application according to user interaction comprising using one or more processors for executing a code for collecting autonomously a plurality of action events describing a plurality of actions taken by a plurality of users to navigate through a plurality of pages presented by an application to accomplish one or more goals of the application, the plurality of pages are presented on a GUI at a plurality of user devices used by the plurality of users, analyzing the action events to identify one or more behavioral patterns of at least some of the users for accomplishing the goal(s) and generating automatically one or more recommended adaptations for the application according to the behavioral pattern(s) to adapt a layout of the application in order to increase a probability for one or more users to successfully accomplish the goal(s).

In one embodiment, a server computing machine provides an interface operable to permit a first user to broadcast a live video to one or more second users. The server computing machine selectively provides customized sponsored content items to the second users while pausing the broadcast of the live video. In response to receiving an indication that the first user selected an option to display a sponsored content item while broadcasting the live video, the server computing machine begins loading sponsored content items to the second users while the live video is still being broadcasted. After the sponsored content items have been loaded, the first and second users may be alerted prior to substantially simultaneously beginning to display the loaded sponsored content items to the second users.

In one embodiment, a server computing machine provides an interface operable to permit a first user to broadcast a live video to one or more second users. The server computing machine provides sponsored content items to the second users while also providing the live video. In response to receiving an indication that the first user selected an option to display a sponsored content item while broadcasting the live video, the server computing machine reduces the image size of the live video, superimposes the live video of reduced size on the sponsored content item to define a combined image having a sponsored portion on which the sponsored content item is displayed and a live portion on which the live video is displayed. The combined image is then sent to the one or more second users.

Techniques are provided for generating adjustment factors, on a per-demographic-group basis, to compensate for errors in audience verification statistics caused by co-usage of devices. The adjustment factors are based on a comparison of (a) per-group counts produced by applying one audience verification approach to a set of exposures, to (b) per-group counts produced by applying another audience verification approach to the same set of exposures. For example, the first per-group counts may be produced under the assumption that the user to whom content is exposed is the owner of the device, and the second per-group counts may be produced by obtaining demographic information directly or indirectly from a user at the time the user is exposed to the content.

Systems and methods for evaluating effectiveness of campaigns are disclosed. One exemplary method includes identifying a promotional campaign offered by a merchant during an offer period including an offer of a commodity at a predetermined price, and compiling a first set of payment accounts based on each payment account including a transaction to the merchant at the predetermined price within the offer period. The method also includes correlating the first set of payment accounts to a second set of payment accounts based on at least one identifying criteria associated with transactions to the payment accounts during a correlation period, which is different than the offer period. The method further includes generating and storing a comparison between the first set of payment accounts and the second set of payment accounts for transaction data during the offer period, to thereby indicate an effectiveness of the campaign.

The disclosure includes a system and method for aggregating image frames and audio data to generate virtual reality content. The system includes a processor and a memory storing instructions that, when executed, cause the system to: receive video data describing image frames from a camera array; receive audio data from a microphone array; aggregate the image frames to generate a stream of three-dimensional (3D) video data, the stream of 3D video data including a stream of left panoramic images and a stream of right panoramic images; generate a stream of 3D audio data from the audio data; and generate virtual reality content that includes the stream of 3D video data and the stream of 3D audio data.