Video content placement optimization based on behavior and content analysis

A system, comprising:

• a processor;
• a non-transitory computer-readable medium;
• and
• stored instructions translatable by the processor for:
• obtaining, from play trails that track viewing behaviors of viewers of a video, statistics regarding viewing of the video by the viewers, each play trail representing a timestamped sequence of actions that a viewer of the viewers takes with respect to the video while playing the video on a user device and that together is sufficient to reconstruct the viewing in entirety, the timestamped sequence of actions including adding a deep tag to the video and replaying and pausing portions of the video, wherein each of the play trails is recorded on a device of the viewers, and wherein, among at least some of the viewers, their timestamped sequences of actions with respect to the video as recorded in the play trails are sequentially different;
• determining, based at least in part from the timestamped sequences of actions recorded in the play trails, viewer characteristics and viewed characteristics,
• the viewer characteristics including at least one of:
• demographic information of the viewer,
• an action of the viewer, or
• a material previously viewed by the viewer, and
• the viewed characteristics including a number of times that the video has been requested by the viewers;
• retrieving or obtaining, in view of at least one of:
• the statistics of the video obtained from the play trails,
• the viewer characteristics, or
• the viewed characteristics,
• content placement preferences that specify a content placement price setting mechanism, the content placement price setting mechanism including a content placement rule;
• determining, based on the content placement price setting mechanism, a plurality of prices for placing content at a plurality of places in the video;
• determining, based on the content placement rule, whether placement of the content in the video is manual or automatic;
• responsive to the content placement rule specifying that the placement of the content in the video is automatic, automatically placing the content in the video at one of the plurality of places in the video;
• and
• responsive to the content placement rule specifying that the placement of the content in the video is manual, notifying a user for manual placement of the content in the video.

A computer program product comprising a non-transitory computer-readable medium storing instructions translatable by a processor for:

• obtaining, from play trails that track viewing behaviors of viewers of a video, statistics regarding viewing of the video by the viewers, each play trail representing a timestamped sequence of actions that a viewer of the viewers takes with respect to the video while playing the video on a user device and that together is sufficient to reconstruct the viewing in entirety, the timestamped sequence of actions including adding a deep tag to the video and replaying and pausing portions of the video, wherein each of the play trails is recorded on a device of the viewers, and wherein, among at least some of the viewers, their timestamped sequences of actions with respect to the video as recorded in the play trails are sequentially different;
• determining, based at least in part from the timestamped sequences of actions recorded in the play trails, viewer characteristics and viewed characteristics,
• the viewer characteristics including at least one of:
• demographic information of the viewer,
• an action of the viewer, or
• a material previously viewed by the viewer, and
• the viewed characteristics including a number of times that the video has been requested by the viewers;
• retrieving or obtaining, in view of at least one of:
• the statistics of the video obtained from the play trails,
• the viewer characteristics, or
• the viewed characteristics,
• content placement preferences that specify a content placement price setting mechanism, the content placement price setting mechanism including a content placement rule;
• determining, based on the content placement price setting mechanism, a plurality of prices for placing content at a plurality of places in the video;
• determining, based on the content placement rule, whether placement of the content in the video is manual or automatic;
• responsive to the content placement rule specifying that the placement of the content in the video is automatic, automatically placing the content in the video at one of the plurality of places in the video;
• and
• responsive to the content placement rule specifying that the placement of the content in the video is manual, notifying a user for manual placement of the content in the video.