Abstract: Systems and methods to determine the status of transmitted audio packets. The audio packets can include digital components that are presented by a client computing device. Based on presentation variables and determinations of presentation status, the system can generate a predictive model that can be used to dynamically determines presentation values of audio packets prior to their transmission to a client computing device.

Abstract: An engagement tracking system monitors user interactions with media items to calculate an engagement score of the media item. The engagement tracking system may be or include a group of one or more server machines configured to detect an exposure of a client device to a media item maintained by the engagement tracking system. In response to detecting the exposure of the client device to the media item, the engagement tracking system tracks a location of the client device based on access requests to location based media items. The engagement tracking system may thereby monitor client devices exposed to the media item in order to calculate an engagement score of the media item.

Abstract: Systems and methods to determine image pixel status on a hardware display are provided. The systems and methods can determine a status of a uniquely identifiable measurement pixel of a first content item displayed on a display of a client device. The status can indicate that the measurement pixel is present in a viewable region of the display. The systems and methods can receive viewability variables from the client device. The viewability variables can include information regarding physical and electrical characteristics of the display, and can include information regarding data displayed on the display. The systems and methods can generate a view probability predictive model based on statuses and viewability variables determined from other client devices that previously displayed content items having measurement pixels.

Abstract: Systems, methods, and computer-readable storage media that may be used to attribute events such as clicks and conversions to impressions are provided. One method includes determining a local time and a timezone associated with each of a plurality of events of a content campaign. The method further includes generating a first event grouping including a first set of events having timezones matching at least one grouping timezones. The method further includes generating a second event grouping including a second set of the events based on both the local times and the timezones of the events. Generating the second event grouping includes selecting the second set of events based on the local times of the events in view of the timezones of the events. The method further includes, for each grouping, determining a number of events associated with frequency groups based on a number of impression events associated with the events.

Abstract: A system may select and serve content items based on a view probability. The view probability may be determined using a view probability predictive model and one or more current viewability variables. Based on the determined view probability output by the view probability predictive model, a content item may be selected and served. A script may be included with or otherwise associated with the data output to effect presentation of the selected content item. The script outputs data indicative of whether the served content item is viewed on a display of a device. The script may output data indicating that the served content item is viewed when at least a predetermined percentage of the pixels of the served content item are within a viewable region for a period of time. A served content item may be determined to not have been viewed if a predetermined period of time elapses.

Abstract: A system may select and serve content items based on a view probability. The view probability may be determined using a view probability predictive model and one or more current viewability variables. Based on the determined view probability output by the view probability predictive model, a content item may be selected and served. A script may be included with or otherwise associated with the data output to effect presentation of the selected content item. The script outputs data indicative of whether the served content item is viewed on a display of a device. The script may output data indicating that the served content item is viewed when at least a predetermined percentage of the pixels of the served content item are within a viewable region for a period of time. A served content item may be determined to not have been viewed if a predetermined period of time elapses.