Having the ability to measure and report on the real-world performance of your pages is critical for diagnosing and improving performance over time. Without field data, it's impossible to know for sure whether the changes you're making to your site are actually achieving their desired results.
Many popular Real User Monitoring (RUM) analytics providers already support the Core Web Vitals metrics in their tools (as well as many other Web Vitals). If you're currently using one of these RUM analytics tools, you're in great shape to assess how well the pages on your site meet the recommended Core Web Vitals thresholds and prevent regressions in the future.
While we do recommend using an analytics tool that supports the Core Web Vitals metrics, if the analytics tool you're currently using does not support them, you don't necessarily need to switch. Almost all analytics tools offer a way to define and measure custom metrics or events, which means you can likely use your current analytics provider to measure the Core Web Vitals metrics and add them to your existing analytics reports and dashboards.
This guide discusses best practices for measuring Core Web Vitals metrics (or any custom metrics) with a third-party or in-house analytics tool. It can also serve as a guide for analytics vendors wishing to add Core Web Vitals support to their service.
As mentioned above, most analytics tools let you measure custom data. If your analytics tool supports this, you should be able to measure each of the Core Web Vitals metrics using this mechanism.
Measuring custom metrics or events in an analytics tool is generally a three-step process:
The following code sample shows how easy it can be to track these metrics in code and send them to an analytics service.
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