How does it work?
Filters
The analytics presented in Trend Analytics reflect the video usage data filtered by selected values. Data can be filtered by: time period, video type, video platform, audience size and viewers' countries.
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Time period
It refers to the period of time defined by a start (from) date and an end (to) date for which data will be presented.
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The time period filter is applied in a different way based on the filter Video Type:
Live video type
Live videos are filtered by the creation time. This means:
all Live videos which were started between 00:00 of the start date and 23:59 of the end date
all Live viewers of the accounted Live videos
For VoD video type
VoD video usage is filtered by viewership time. This means:
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It means that a VoD video can be created outside the selected time period but if it has viewership within the selected time period it will be accounted as active.
Video Type
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It refers to the stream type reported by the video manifest at the time of video consumption by the viewer.
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A user can select one of the two stream types to focus their trends metrics (by default Live).
Video Platform
It refers to a specific tenant in one of the video platforms that are being in use.
A user can select a subset of all the video platforms.
Min/Max Viewers
It enables to focus on videos with a specific viewership size.
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For VoD videos which have a total viewership that falls within the defined thresholds we account all their VoD viewers.
Country
This filter applies that:
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What happens if a viewer changes network/location? If a viewer changes countries (i.e. Sweden, Germany), the activity is accounted separately. |
Trends Metrics
Overview metrics
Based on the filter applied, a number of key performance metrics and indicators is surfaced just below the filter panel.
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Videos
It is the count of unique videos that started (Live) or were consumed (VoD) during the selected Time Period.
Viewers
It is the sum of Video viewers that:
for Live video type: consumed a Live video which startedwithin the selected Time Period.
for VoD video type: consumed a VoD video within the selected Time Period
Hours Viewed
The sum of Viewing Time across Viewers where Viewing Time is the amount of video time a viewer consumed.
Average Viewers
Number of Viewers divided by the number of Videos.
The graphs
Viewers by device
This graph presents the split of Viewers among the different Device Types (tablet, smartphone, computer) identified by the browser (user agent string). If no match is found, it is reported as "Computer". If this information is missing, the device type is listed as "Unknown."
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Viewers by browser
This graph presents the split of Viewers among the different Browser types (and further between a browser’s versions in the legend drop downs).
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Working from office or remotely
This graph presents a split of Viewers between the Office and Remote (and further to VPN and not) segments.
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*provided in the site info
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Traffic Analysis
Video Traffic refers to the video stream bytes consumed by the viewer (across all possible video qualities, excluding the separate audio stream).
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P2P: the video traffic offloaded from the network (traffic shared among viewers with Hive optimization enabled).
CDN: the Video Traffic downloaded from the CDN (further split based on the enablement of Hive Optimization
P2P disabled:
CDN traffic from viewers watching remotely.
Note: This traffic is not possible to offload since the viewers are in a remote location.P2P enabled:
CDN traffic from office viewers with Hive optimization enabled.
Note: If there is a large amount of CDN traffic showing as “P2P enabled” then it could have been offloaded from the network by Hive optimization if site info had been up to date.P2P unavailable:
CDN traffic fromoffice viewers with Hive optimization disabled.
Note: This traffic could have been offloaded from the network if Hive optimization had been enabled.
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Viewers by Platform
This visualisation presents the Viewers countsplit between the customer’s different Video Platforms as they change over time.
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Viewers by weekday
This visualisation presents a split of the Viewers based on the weekday they consumed the video (on top of the Video Platform split).
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Videos by Quality of experience
The overall Quality of Experience (QoE) is being traced for each video.
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