overview
what's new
getting started
articles
Related Articles
No Related Articles
Content Insights help you understand the difference in viewing patterns between the living room experience and secondary device experience. These insights can drive your content licensing strategy for different devices and enable you to be more strategic about your content spend. Content insights also provide reporting, linear or non-linear viewing with KPIs such as reach and viewing duration of content consumed over the desired time-period, which may be filtered by device, session type or content genre.
Key Metrics for Content Insights
KPI | Description |
|---|---|
Active Users | Number of active users on the service |
Active Devices | Number of active sessions on the service |
Average devices per account | Average number of devices used by an account |
Average daily viewing | By device type and by service type |
Monthly Active users | Monthly Active users/accounts that have had at least one viewing session in the calendar month |
Monthly Active Devices | Monthly Active Devices that have had at least one viewing session in the calendar month |
Daily Total Duration | Daily total viewing duration tracked over time so find the high viewing and low viewing patterns |
Daily Total Duration/Device Type | Daily total viewing duration tracked over time by device type so find the high viewing and low viewing patterns |
Daily Total Duration/Session Type | Daily total viewing duration tracked over time by session type (Linear, VOD) so find the high viewing and low viewing patterns |
Daily Average Duration per account | Daily average viewing duration tracked over time so find the high viewing and low viewing patterns |
Daily Average Duration/Device Type | Daily average viewing duration tracked over time by device type so find the high viewing and low viewing patterns |
Channel Importance ranking table | Using the definition of channel importance to rank channels by their importance to the viewer base |
Channel movers | Using channel reach figures to find out the movement/popularity of channels over a time-period. E.g. a channel was watched by 10K devices during the past week, and 12K devices during current week, then reach change is 2K devices. Table is sorted with in the order of highest to lowest reach change. |
Content ranking table | Filtered by Device type, Session type, Channel name, Content Genre (e.g. Sports), Content sub-genre (e.g. Football) |
