Maple Ranking - Online Knowledge Base - 2025-09-04

Tools and methods to measure and analyze CLS effectively

To measure and analyze Cumulative Layout Shift (CLS) effectively, you can use both lab and field tools that capture layout shifts during page load and user interaction:

  • Lab tools simulate page loads in a controlled environment to measure CLS during the initial load. These tools provide synthetic data but may underestimate CLS compared to real user experiences because they do not capture shifts caused by user interactions after load.
  • Field tools collect CLS data from actual users in real-world conditions, capturing all unexpected layout shifts throughout the page lifecycle, providing a more accurate picture of user experience.

Some commonly used tools and methods include:

  • Google Lighthouse (lab environment) for synthetic CLS measurement during page load.
  • Chrome User Experience Report (CrUX) and Google PageSpeed Insights for field data on CLS from real users.
  • Web Vitals JavaScript library to measure CLS programmatically on your site and send data to analytics.
  • Performance monitoring tools like WebPageTest or browser DevTools Performance panel to analyze layout shifts frame-by-frame.

To analyze CLS effectively:

  • Identify which elements cause layout shifts (e.g., images without dimensions, ads, dynamically injected content).
  • Use browser DevTools to inspect layout shift regions and understand timing.
  • Apply optimization techniques such as reserving space for images and ads, avoiding inserting content above existing content, and using CSS aspect ratio boxes.

In summary, combining lab-based synthetic testing with real-user field data and detailed performance analysis provides the most comprehensive approach to measuring and analyzing CLS effectively.

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