Google Inc.

Theodore Kent Hamilton

Nareshkumar Rajkumar

Gregory Allan Funk

Keekim Heng

Anders Torp Brodersen

Vincent Gatto, Jr

Dror Shimshowitz

Martin Landers

Mirjam Wattenhofer

Maximilian Georg Dylla

Lukas Renggli

A method includes logging first user interactions associated with a playlist of content items and generating first metrics based on the logged first user interactions with the playlist. The first metrics include a first metric indicating a first duration of playback of a first content item of the playlist during playback of the playlist. The first duration of playback of the first content item during the playback of the playlist is greater than a first default duration of playback. The method further includes reporting at least the first metric to a creator or curator of the playlist, logging second user interactions associated with the playlist, and generating second metrics based on the logged second user interactions with the playlist. The logged first user interactions correspond to more deviations from a default playback sequence of the playlist than the logged second user interactions.

Playlist analytics

A method includes generating metrics based on a first plurality of interactions with first content of a playlist. A first metric indicates approval of a first content item of the playlist and a second metric indicates a first duration of playback of a second content item of the playlist during playback of the playlist. The first duration of playback of the second content item is greater than a first default duration of playback. The method further includes reporting at least the first metric and the second metric and receiving a modified playlist. The modified playlist may be the playlist modified based on at least the first metric. The method further includes identifying, in captured data associated with access to the modified playlist, a second plurality of interactions with second content of the modified playlist. The second plurality of interactions corresponds to fewer deviations than the first plurality of interactions.

Systems and methods are disclosed for providing playlist analytics. A method includes logging first user interactions associated with a playlist of content items and generating metrics based on the logged first user interactions with the playlist. The playlist is associated with a default playback sequence of the content items. A first metric indicates a last content item played by a user from the playlist is different from a last content item in the default playback sequence associated with of the playlist. The method further includes reporting at least the first metric. The playlist is to be modified based on one or more of the plurality of metrics.

Systems and methods can facilitate gathering information generated by network traffic to playlists. Based on analytics and metrics derived from the gathered information and reported, feedback about playlist access patterns can be supplied to interested parties, such as playlist creators/curators. The feedback can enable playlist curators to better tailor playlist content and sequence, potentially reducing a perceived need to skip around inside a playlist and making for a more enjoyable experience for playlist users.

Systems and methods are disclosed for providing playlist analytics. A method may include capturing data associated with access to a playlist of content. The method may further include identifying, in the captured data, one or more interactions with the playlist of content. The method may further include generating, by a processing device, at least one metric based on the identified one or more user interactions. The method may further include reporting the at least one playlist metric.

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.

Goal-based video analytics

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.

Video funnel analytics

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.

Custom media player

Systems and techniques for generating analytic data for media content based on subject matter are presented. At least one topic is assigned to a media file in a set of media content. Analytic data is generated for the media file in the set of media content. Additionally, the analytic data is associated with the at least one topic.

Performance reporting for media content by subject

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.

Video aware pages

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.

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.

Video aware paths

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.

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Küsnacht, Switzerland

Theodore Kent Hamilton