Google uses three metrics to judge your site's user experience β and they affect your search rankings. We explain what LCP, CLS, and INP actually measure and how to improve them.
Core Web Vitals are three specific metrics Google uses to measure how real users experience your website. They're not theoretical benchmarks β they're collected from actual Chrome users via the Chrome User Experience Report (CrUX). Since 2021, they directly influence search rankings.
The three metrics are Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP). Each one targets a different dimension of user experience: loading speed, visual stability, and responsiveness.
LCP measures how long it takes for the largest visible element on the page to finish rendering. This is usually a hero image, a heading block, or a video thumbnail. It answers the question: "How fast does this page feel loaded?"
Common causes of slow LCP include unoptimized images, render-blocking JavaScript, slow server response time (TTFB), and client-side rendering that delays content. The single most impactful fix is usually switching hero images to WebP/AVIF with proper width/height attributes and a fetchpriority="high" hint.
CLS measures how much the page layout jumps around while it's loading. You've experienced this: you start reading a paragraph, an ad loads above it, and the text shifts down. That's layout shift, and it's infuriating.
The most common culprits are images without dimensions, dynamically injected ads or banners, web fonts that cause text reflow (FOIT/FOUT), and late-loading iframes. The fix is almost always: reserve space before content loads. Set explicit width and height on images, use font-display: swap with size-adjusted fallbacks, and avoid inserting content above the fold after initial render.
INP replaced First Input Delay (FID) in March 2024. While FID only measured the delay of the first interaction, INP tracks the responsiveness of all interactions throughout the page lifecycle β clicks, taps, and keyboard input.
Poor INP is typically caused by long-running JavaScript tasks that block the main thread. Heavy frameworks, synchronous API calls in event handlers, and large DOM trees all contribute. The fix: break long tasks into smaller chunks using requestAnimationFrame or scheduler.yield(), defer non-critical JavaScript, and reduce DOM complexity.
Google provides several tools: PageSpeed Insights (lab + field data), Chrome DevTools Performance panel (lab only), and the CrUX dashboard (field data). But these are point-in-time snapshots.
For continuous monitoring, you need Real User Monitoring (RUM). Web Analyzer App collects LCP, CLS, INP, and TTFB from every real visitor session automatically β no extra setup required. You can track scores over time, identify which pages need attention, and correlate vitals with bounce rates.
If you're starting from scratch, fix them in this order:
You don't need perfect scores. Google's threshold is "good" β not "100/100." Focus on getting all three metrics into the green zone for the pages that matter most: your homepage, top landing pages, and conversion pages.
Visitors
0
+23.4%
Page Views
0
+31.2%
Bounce
34.2%
-5.1%
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