WebSeoSG - Online Knowledge Base - 2025-09-03

Leveraging Media Parameters in GA4 for Video Content Optimization

To leverage media parameters in Google Analytics 4 (GA4) for video content optimization, you should first enable Enhanced Measurement in your GA4 web data stream settings. This feature automatically tracks key video engagement events such as video_start, video_progress (at 10%, 25%, 50%, 75%), and video_complete.

Next, create custom dimensions in GA4 for parameters like video_percent to analyze how much of the video users watch. Set the scope to "Event" and link it to the exact event parameter name (e.g., video_percent). This allows you to build reports showing user engagement at different video progress points, helping identify where viewers drop off or complete the video.

For more granular tracking, especially with custom video players, use Google Tag Manager (GTM) to capture additional events such as pause, seek, or volume changes by connecting GTM to the video player’s API. This setup enables you to push custom events into GA4, providing deeper insights into user behaviour and video performance.

You can then create reports or explorations in GA4 by adding dimensions like Video percentage and Video title, and filtering events by names such as video_progress or video_start. This helps you understand engagement patterns per video and optimize content accordingly.

If you use third-party video platforms like Vimeo, you may need to adjust or customize your tracking tags to align with GA4’s event model, ensuring percentage progress values are correctly reported without extra symbols (e.g., removing “%” signs) and triggering events at meaningful milestones like 0%, 10%, and 75%.

In summary, the key steps are:

  • Enable Enhanced Measurement for video engagement in GA4.
  • Create custom dimensions for video progress parameters.
  • Use GTM for advanced event tracking beyond default events.
  • Customize tags for third-party players if needed.
  • Build reports filtering on video event parameters to analyze engagement and optimize video content.

This approach provides actionable data on how users interact with video content, allowing you to improve video length, content structure, and calls to action based on real user behaviour.

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