Abstract: View location metric generation and engagement attribution within an AR or VR environment are described. In one example, a system of a digital medium environment is configured to generate metric data describing viewed locations within an augmented or virtual reality environment. The system includes a log data collection module implemented at least partially in hardware of a computing device to collect log data from a plurality of user devices. The log data describes locations associated with an augmented or virtual reality environment and a viewing direction at corresponding locations. The system also includes a metric generation module implemented at least partially in hardware of the computing device to generate metric data describing viewed locations within the augmented or virtual reality environment by the plurality of user devices and an output module implemented at least partially in hardware of the computing device to output the generated metric data.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to an analytics tool for detecting real-time user or “visitor” events based on real-time data. More specifically, events are detected based on actions not taken by a user. In this regard, events can be defined and, thereafter, detected based on inactions of a user. In some cases, events are inferred or predicted based on a calculated likelihood of a user not performing an action. Upon determining an event based on an action not being performed by a user, an interested party may be notified thereof such that the interested party can influence, in real-time, visitor conversion.

Abstract: View location metric generation and engagement attribution within an AR or VR environment are described. In one example, a system of a digital medium environment is configured to generate metric data describing viewed locations within an augmented or virtual reality environment. The system includes a log data collection module implemented at least partially in hardware of a computing device to collect log data from a plurality of user devices. The log data describes locations associated with an augmented or virtual reality environment and a viewing direction at corresponding locations. The system also includes a metric generation module implemented at least partially in hardware of the computing device to generate metric data describing viewed locations within the augmented or virtual reality environment by the plurality of user devices and an output module implemented at least partially in hardware of the computing device to output the generated metric data.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to an analytics tool for detecting real-time user or “visitor” events based on real-time data. More specifically, events are detected based on actions not taken by a user. In this regard, events can be defined and, thereafter, detected based on inactions of a user. In some cases, events are inferred or predicted based on a calculated likelihood of a user not performing an action. Upon determining an event based on an action not being performed by a user, an interested party may be notified thereof such that the interested party can influence, in real-time, visitor conversion.