Abstract: A system and method for providing web analytics describing video level events. The system includes a communication module, a request analysis module and an analytics module. The communication module receives a request including a unique video identifier (video ID), a video version identifier and event data. The event data describes a video level event and is associated with the video ID and the video version identifier. The request analysis module receives the request from the communication module. The request analysis module analyzes the request to determine if the request includes the event data. The analytics module is configured to determine values for metrics describing the video level event. Based at least in part on a determination by the request analysis module that the request includes event data, the analytics module receives the request from the request analysis module and analyzes the event data to determine a value for the metric.

Abstract: A system and method for generating goal-based video analytics is disclosed. The system includes a processor, a configurable goal module, a communication module and an analytics module. The configurable goal module receives a video goal definition configurable by a user. The communication module receives first media player state data including data describing viewer interest in video data playable by a media player included on a viewing device. The analytics module associates the video goal definition with the first media player state data and generates video analytics based at least in part on the video goal definition and the first media player state data associated with the video goal definition.

Abstract: A system and method for generating video funnel analytics is disclosed. The system includes a processor, a configurable goal module, a configurable funnel module, a communication module and an analytics module. The configurable goal module receives a user-configurable video-related goal definition. The configurable funnel module receives a user-configurable video funnel definition based at least in part on the video-related goal definition. The communication module receives a first set of media player state data including data describing viewer interest in a first set of video data playable by a media player included on a user device. The analytics module generates video funnel analytics based at least in part on the video-related goal definition, the video funnel definition and the first set of media player state data.

Abstract: A system and method for providing web analytics for a custom media player is disclosed. The system comprises a communication module, a request analysis module and a reporting module. The communication module receives a request from a custom media player. The custom media player is stored and executed on a client device. The request analysis module determines whether the request includes a custom event for a social feature included in the custom media player. The request analysis module determines that the request includes a custom event. The request analysis module stores event data describing the custom event in a storage device. The reporting module generates a report describing a metric for the social feature.

Abstract: A method is provided that includes retrieving user interface (UI) analytics data describing interactions with a UI provided by an online service, and retrieving media player state information describing interactions with video data included in the UI. The method further includes generating, based on the UI analytics data and the media player state information, UI data describing how the video data affects usage of the online service and how one or more elements within the UI affect user access to the video data, and presenting a comparison between a first subset of the UI data where the video data is not viewed and a second subset of the UI data where the video data is viewed to facilitate evaluation of how viewing the video data on the UI affects navigation to and from the UI.

Abstract: A method is provided that includes retrieving user interface (UI) analytics data describing interactions with a UI provided by an online service, and retrieving media player state information describing interactions with video data included in the UI. The method further includes generating, based on the UI analytics data and the media player state information, UI data describing how the video data affects usage of the online service and how one or more elements within the UI affect user access to the video data, and presenting a comparison between a first subset of the UI data where the video data is not viewed and a second subset of the UI data where the video data is viewed to facilitate evaluation of how viewing the video data on the UI affects navigation to and from the UI.

Abstract: Analytics describing video data published to one or more destination sites are calculated. Metrics describing performance of the video data, such as performance in different geographical areas, in different demographics and in different devices are calculated. An interface simplifies calculation of the video metrics to simplify analysis by allowing a user to identify different videos or sets of videos for analysis. Additionally, interaction with one or more web pages including the video data is also captured and combined with video data performance metrics. For example, a report describing interaction with one or more web pages within a website and video data included on the one or more web pages is generated.

Abstract: Analytics describing video data published to one or more destination sites are calculated. Metrics describing performance of the video data, such as performance in different geographical areas, in different demographics and in different devices are calculated. An interface simplifies calculation of the video metrics to simplify analysis by allowing a user to identify different videos or sets of videos for analysis. Additionally, interaction with one or more web pages including the video data is also captured and combined with video data performance metrics. For example, the effect of video data on navigation between web pages within a website is described by one or more navigation paths accounting for interaction with video data.

Abstract: Analytics describing video data published to one or more destination sites are calculated. Metrics describing performance of the video data, such as performance in different geographical areas, in different demographics and in different devices are calculated. An interface simplifies calculation of the video metrics to simplify analysis by allowing a user to identify different videos or sets of videos for analysis. Additionally, interaction with one or more web pages including the video data is also captured and combined with video data performance metrics. Integrating web page interaction data and video performance metrics provide a user with a more accurate description of how visitors interact with content presented using the one or more web pages.

Abstract: A system and method for optimizing content of a web page is disclosed. The system comprises a configuration analysis module, a request analysis module, an analytics module and an optimization module that are communicatively coupled to each other. The configuration analysis module receives first and second sets of web interaction data associated with a web page and determines first and second content configurations for the first and second sets of web interaction data, respectively. The request analysis module receives first and second requests for the first and second content configurations, respectively, and extracts a first set of event data from the first request and a second set of event data from the second request. The analytics module generates a first set and a second set of video-aware analytics data. The optimization module optimizes the content of the web page based at least in part on video-aware analytics data.

Abstract: A system and method for optimizing content of a web page is disclosed. The system comprises a configuration analysis module, a request analysis module, an analytics module and an optimization module that are communicatively coupled to each other. The configuration analysis module receives first and second sets of web interaction data associated with a web page and determines first and second content configurations for the first and second sets of web interaction data, respectively. The request analysis module receives first and second requests for the first and second content configurations, respectively, and extracts a first set of event data from the first request and a second set of event data from the second request. The analytics module generates a first set and a second set of video-aware analytics data. The optimization module optimizes the content of the web page based at least in part on video-aware analytics data.

Abstract: Analytics describing video data published to one or more destination sites are calculated. Metrics describing performance of the video data, such as performance in different geographical areas, in different demographics and in different devices are calculated. An interface simplifies calculation of the video metrics to simplify analysis by allowing a user to identify different videos or sets of videos for analysis. Additionally, interaction with one or more web pages including the video data is also captured and combined with video data performance metrics. Integrating web page interaction data and video performance metrics provide a user with a more accurate description of how visitors interact with content presented using the one or more web pages.

Abstract: Analytics describing video data published to one or more destination sites are calculated. Metrics describing performance of the video data, such as performance in different geographical areas, in different demographics and in different devices are calculated. An interface simplifies calculation of the video metrics to simplify analysis by allowing a user to identify different videos or sets of videos for analysis. Additionally, interaction with one or more web pages including the video data is also captured and combined with video data performance metrics. For example, the effect of video data on navigation between web pages within a website is described by one or more navigation paths accounting for interaction with video data.