Quality of Experience (QoE) analytics provide information to help understand the user's video streaming experience, including playback success, startup time, rebuffering, and visual quality.
QoE focuses on metrics that provide a sense of the viewing experience from a user's perspective. It is Brightcove's goal to provide customers with a transparent, meaningful, and well-curated set of metrics focused on the following:
- Which devices and players have a lower quality of experience?
- Are issues related to the player, device, or geographic region?
- Can I mitigate these issues?
- How is my service performing across key QoE metrics?
- Are there trends that I should be aware of and address?
- You can track video metrics that show how viewers are impacted.
For a list of QoE terms and definitions, see the Glossary section.
Brightcove QoE Analytics are available to Media Video Cloud customers at no extra charge. Contact your Customer Success Manager to enable your account.
Brightcove QoE Insights builds on the analytics in this topic, and incorporates user engagement data to provide greater understanding of audience behavior. For details, see the Brightcove QoE Insights document.
Once your account is enabled for QoE Analytics, you will find them in the Analytics module in Studio.
- Open Video Cloud Studio.
- In the primary navigation, click Analytics.
- In the panel navigation, click QOE.
Time range and dimensions
Use time range and dimension to filter the data displayed in the charts below.
Time range selector
Click DATE to expand the dropdown menu. Select the time range for your reporting data. The charts below trend over time, based on the time range.
Click DIMENSION to expand the dropdown menu. Select the measurement for your reporting data. When you select a dimension, it will be reflected in all of the charts described below.
The Account view provides an overall number for all streams in your account across all platforms.
The Device view makes it easier to see device-specific issues and trends over time. The example below shows a spike in error rate for Android devices that could correlate to a recent app update.
This graph shows the top 5 devices by view count, and the account level.
The Stream type view compares all content in your account with VOD and Live metrics.
The Player view shows specific players' performance and allows you to isolate and troubleshoot players where QoE is underperforming. Modifications to chunk size and buffer size can be measured using this metric.
This graph shows the top 5 players by view count, and the account level.
For international customers, viewing QoE metrics by country can assist in isolating regional issues. In the fictional example below, the customer adopted a new content delivery network (CDN) for their Asian consumers. The chart shows that the CDN underperformed when looking at the stall rate.
This graph shows the top 5 countries by view count, and the account level.
Video start time
The video start time is the average time between play request and stream start.
This metric is helpful because long load times cause abandonment before streaming starts. Long load times can point to issues with CDN, player plug-ins, and initial stream bitrate where intervention makes sense. Low video start times mean your viewers can start watching their videos quickly, which is what they expect.
This example shows the top 5 devices by view count, and the account level.
The summary table makes it easy to explore and identify anomalies.
The date range and dimensions that you set for the page, also applies to the data in the summary table. For example, if you select the Device dimension, you will see a Summary by Device.
Summary by Device
Each column is sortable. The default sort order is video views descending.
In addition to the key metrics, the summary table includes the following data:
- View count
- Video resolution breakdown
- Rebuffering time
- Avg Bitrate
For details about the column data, see the Glossary below.
Percent of all play requests with errors that prevented playback experience.
Errors are often caused by player or player plugin misconfiguration. Viewing error rate by device or player can provide direction on where to focus on reducing errors. You can review our Brightcove Player Error Reference for more information on player errors.
Video start time
Average time between the play request and the stream start per video view; this time does not include ad pre-roll time.
The number of player plugins that load, initial stream bitrate, and viewer bandwidth can impact start time. Reviewing players, bitrate ladder, and device/video resolution breakdown can provide direction on improving this.
Distinct fatal errors per session, per viewer. If multiple errors occur in a session, they are de-duplicated.
Percent of engagement events issued by categories of video resolution.
Reviewing resolution breakdown by device in combination with video start time, rebuffering time, and stall rate can show ways to optimize playback.
Average seconds of buffering per hour of video viewed.
This often increases when the bandwidth is too low to consume the bitrate of the stream that is playing. Looking at bitrate and video resolution by device or country can provide insights into video resolution adjustments that could reduce rebuffering.
Stalls per hours viewed in the time range.
Stall rates often increase when the bandwidth is too low to consume the bitrate of the stream that is playing. Looking at bitrate and video resolution by device or country can both provide insights into video resolution adjustments that could reduce rebuffering.
Average bitrate (kbps) across all video views in the time range.
Average seconds per hour spent in an upscaled state.
Upscaling has a real impact on picture clarity when video resolution is significantly lower than screen resolution. Review screen resolutions by device to understand the potential impact of upscaling better. Consumers using 4K TVs will often have upscaling occur, but the viewing experience can still be high quality.