Aspects of this invention are directed toward determining the effectiveness of advertising in a virtual universe. Specifically, under the present invention, a visit by an avatar to a region of the VU that includes targeted advertising content is registered. Then, the following avatar attributes are determined: a proximity to the target advertising content by the avatar; an avatar directionality of the avatar with respect to the target advertising content; a camera directionality of a camera object associated with the avatar; and a time with respect to which the avatar may be exposed to the target advertising content in the region. Thereafter, at least one score is assigned to the visit, the proximity, the directionality, and the time. An effectiveness score is then calculated based on the at least one score. The overall effectiveness of the target advertising content is then calculated based on the at least one score.

Systems and methods disclosed herein use one or more auxiliary time series to more accurately identify change points in a target time series. This involves receiving data for the target time series and one or more auxiliary time series, where the one or more auxiliary time series have a relationship with the target time series. A combined auxiliary time series is generated based on the relationship between the target time series and the one or more auxiliary time series and the change point is detected for the target time series based on the target time series and the combined auxiliary time series. In one embodiment, time series data is received on an on-going basis. Recent time series data for the target time series and the one or more auxiliary time series is identified and used to detect the change point. The change point can be detected without using time series data older than the recent time series data.

A dashboard to integrate gadgets and present data output from the gadgets in an integrated user interface. The gadgets dynamically collect information about an advertisement or an ad campaign associated with the advertisement as the information is collected from various sources during the ad campaign, each of some of the gadgets processing collected information and outputting the processed information in real time.

An information processing method, a server, and a computer storage medium are provided. The method includes: generating a first information identification code according to first information, the first information representing an information source; providing the first information identification code to a terminal; receiving a first request from the terminal and allowing a terminal user of the terminal to follow an information service, the first request carrying the first information; and recording the first information and tracking and obtaining conversion information of the information source according to the first information.

Aspects of the disclosure provide a method for delivering a media file. A target delivery volume and an actual delivery volume of the media file corresponding to a same period of time are obtained. The target delivery volume is compared with the actual delivery volume to obtain a comparison result. A correlation parameter of the media file can be adjusted according to the comparison result. The correlation parameter can indicate a correlation between the media file and a delivery object of the media file. The media file can be delivered to the delivery object according to the adjusted correlation parameter.

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.

Technologies for attributing a value of a purchased product to individual stages of a multistage conversion path include an attribution server and an online touchpoint. Information regarding products for purchase is presented by an online touchpoint. Users interact with the online touchpoint in connection with the purchase of a product presented by the online touchpoint. The attribution server collects data indicative of user interaction with the touchpoint in connection with the purchase of the product. The attribution server may also collect data indicative of external influences that stimulated the user to interact with the online touchpoint. The interactions of the user via the touchpoint are grouped and a score for each stage of the multi-stage conversion path is calculated. A value for each user interaction that moved the user forward through the multi-stage conversion path is determined based on the calculated scores. Other embodiments are described and claimed.

The present disclosure is directed to a networking system that provides a user experience in which users of the networking system can interact with user-generated digital content items to select and receive information about one or more products. In particular, the systems and methods involve identifying products shown within user-generated digital content items and associating the user-generated digital content items with the identified products. In addition, where a user selects a product shown within a digital content item, the systems and methods involve selectively identifying other user-generated digital content items for the user based on a coefficient between the user and the other user-generated digital content items. Moreover, the systems and methods involve tracking user-interactions with respect to digital content items and generating and providing a creation insight including an identification of one or more products predicted to engage users of the networking system.

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.

Example systems and methods for optimization and attribution of marketing resources are described. In one implementation, a method retrieves transaction data associated with one or more offline stores and user data of users that are exposed to a marketing campaign. The method also correlates the transaction data to the user data to measure marketing attribution and modify the marketing campaign.