These lab-based tools can give a wealth of information to explain and help you improve LCP, but be aware that lab tests alone may not be entirely representative of what your actual users experience. To understand LCP of real users, we should look at what real users are experiencing, rather than what a lab-based tool like Lighthouse or local testing shows. LCP can be measured in a number of tools and not all of these measure LCP in the same way. Understanding your LCP metric #īefore optimizing LCP, developers should seek to understand if they even have an LCP issue, and the extent of any such issue. To improve LCP you have to look at the entire loading process and make sure every step along the way is optimized. It's rare that a quick fix to a single part of a page will result in a meaningful improvement to LCP. There are a number of factors that can affect how quickly the browser is able to load and render a web page, and delays across any of them can have a significant impact on LCP. To provide a good user experience, sites should strive to have an LCP of 2.5 seconds or less for at least 75% of page visits. Specifically, LCP measures the time from when the user initiates loading the page until the largest image or text block is rendered within the viewport. Largest Contentful Paint (LCP) is one of the three Core Web Vitals metrics, and it represents how quickly the main content of a web page is loaded. Monitor LCP breakdown via the Web Vitals extension.Using PageSpeed Insights Lighthouse data.
Using PageSpeed Insights CrUX supplementary metrics.
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