Video Advanced Analytics

1. Viewing Behavior Analysis

Viewing behavior analysis, based on Polyv big data, shows how viewers watch your videos with second-level granularity.
A video viewing heatmap is a graphical representation of a single viewing session. Each playback of a Polyv cloud video generates a heatmap. This is a powerful tool because heatmaps not only display statistical results like viewing completion rates but also intuitively reconstruct the entire viewing process. They help you gain a more comprehensive and deeper understanding of your audience and their varying preferences for video content, thereby unlocking greater data value and supporting better business operations.

Heatmap Example:

The video viewing heatmap includes viewer information, device environment details (playback time, location, device, etc.), and color-coded blocks along a timeline.

The time on the far left of the heatmap indicates when the video started playing.

Next is viewer information, including the viewer's avatar, total number of videos they have watched under your account, nickname, and viewing location. Clicking the avatar or nickname navigates to the viewer analysis page.

Note: The heatmap can display viewer avatars and nicknames only if viewer information is passed to the player (see Setting Viewer Information). If no avatar is provided, a blue square is shown instead; if no nickname is provided, the viewer ID is used; if no viewer ID is available, a gray square replaces the avatar, and the nickname defaults to "Guest".

Click the expand button to the right of the viewer nickname to view more details, including:

• Viewing device information: device type (desktop or mobile), operating system, browser type
• Viewing IP and network operator information
• URL of the viewing page

Video information includes the video cover image, video name, video duration, and video ID.

The viewing heatmap uses color-coded blocks along the timeline to represent the viewer's playback process. The "hotter" the color, the more times that segment was rewatched, potentially indicating greater viewer interest in that part of the content.

• White blocks indicate the viewer skipped that portion of the video without watching.
• Green blocks indicate normal viewing of that portion.
• Yellow blocks indicate that portion was rewatched twice.
• Orange, red, and dark red indicate the portion was rewatched three, four, or more than four times, respectively.

2. Video Analysis

Heatmaps show how individual viewers watch your video, while video analysis charts let you understand how the entire audience engages with the video.

The red line indicates the number of times the video content at a given timestamp was watched.
The blue line indicates the number of viewers who watched the video content at that timestamp.
Thus, the blue area in the video analysis chart represents overall audience engagement, while the red area represents the number of rewatches for that portion. Hovering over the chart displays each video frame and corresponding viewing statistics (number of viewers, engagement rate, and rewatch count).

Using the video analysis chart, you can identify which parts of the video are rewatched multiple times and which parts are skipped. For example, a drop in the line may indicate waning viewer interest, while a rise may suggest that portion captured attention. This information helps optimize video content and provides guidance for creating more engaging videos in the future.

The left side of the chart shows key metrics for overall video playback, giving you a macro-level view of the video's performance to date. The average completion rate is calculated as: Average Completion Rate = Total Actual Playback Duration / (Total Play Count × Video Duration). It represents the percentage of the video duration that an average viewing session covers. A higher completion rate indicates greater viewer interest.

Note: The average completion rate should be evaluated differently depending on the video type. Based on experience, help center videos typically have an average completion rate of around 50%, as viewers leave once they find the needed information. For product introduction videos on a homepage, a completion rate above 70% is considered healthy. If several videos show very high completion rates, analyze the reasons and leverage this insight for action.

3. Viewer Analysis

Your viewers are not just a single metric representing user count; they are individuals. Viewer analysis allows you to understand each user more comprehensively.

In the viewer list, you can see the total number of videos each viewer has watched and their first viewing date.

Each viewer has a dedicated page where you can quickly view their overall statistics, including:

• Total number of videos watched
• Total time spent watching videos
• Average viewing completion rate
• First viewing date

The viewer's video viewing heatmap provides insight into each of their viewing sessions, helping you better understand your audience.

4. Notes

• The statistical results of advanced analytics are updated daily, meaning today's data reflects yesterday's activity.