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Largest Contentful Paint (LCP): The Complete Guide

  • Writer: mohammed jarekji
    mohammed jarekji
  • 6 days ago
  • 4 min read
Conceptual illustration of the Largest Contentful Paint (LCP) Core Web Vital, showing a brush quickly painting the main content of a webpage.
A visual metaphor for the Largest Contentful Paint (LCP) Core Web Vital, where a digital brush quickly paints the main content of a webpage, symbolizing fast loading performance.

Why LCP Defines User Experience


When users land on your page, they don’t wait for everything to load. They wait for something meaningful to appear. That moment is exactly what Largest Contentful Paint (LCP) measures.


LCP captures how quickly the main content (i.e., the hero image, headline, or key text block) becomes visible. A fast LCP makes your site feel polished and reliable; a slow one erodes trust and engagement before a single scroll.


In Core Web Vitals, LCP represents the moment your page “feels” loaded.

What Is Largest Contentful Paint (LCP)?


Definition: LCP measures the time (in seconds) between when a page begins loading and when the largest visible element is fully rendered in the viewport. That element could be:


  • The hero image or background banner

  • A main video thumbnail

  • A large heading (<h1>)

  • Or a key text block above the fold


It’s part of Google’s Core Web Vitals, along with INP (Interaction to Next Paint) and CLS (Cumulative Layout Shift), and it serves as Google’s window into perceived performance.


Performance

LCP Time

User Perception

Good

≤ 2.5 s

Feels instant

Needs Improvement

2.5–4.0 s

Feels sluggish

Poor

> 4.0 s

Users lose patience


What Affects LCP


  • Server delays (TTFB) – slow initial response.

  • Render-blocking CSS or JS – prevents main content from appearing.

  • Large unoptimized images – heavy hero banners or carousels.

  • Slow font loading – FOIT/FOUT delays visible text.

  • Client-side rendering – single-page apps that defer content paint.


How to Measure LCP


Use both lab and field data for the full picture:


  • PageSpeed Insights – combines Lighthouse (lab) + CrUX (real users).

  • Lighthouse (DevTools) – detailed waterfall of resource timing.

  • Chrome UX Report (CrUX) – anonymized real-user metrics at scale.

  • Web Vitals Extension – instant feedback while browsing.


Combine lab testing (diagnosis) with field data (real experience) to detect hidden slowdowns.

How to Improve LCP - Step by Step


1. Optimize Server Performance


  • Choose low-latency hosting or a CDN close to users.

  • Enable caching and Brotli /Gzip compression.

  • Reduce Time to First Byte (TTFB) to < 600 ms.


2. Optimize Images (Your Hero Elements)


  • Convert to WebP or AVIF formats.

  • Resize responsibly; don’t ship 4K banners to phones.

  • Use <img loading="lazy"> for below-the-fold visuals.

  • Specify width × height to prevent layout shifts.


3. Reduce Render-Blocking Resources


  • Minify CSS and JS.

  • Inline critical CSS for above-the-fold sections.

  • Use defer or async attributes for non-critical scripts.


4. Preload Key Assets


  • Add <link rel="preload" as="image" href="hero.webp" fetchpriority="high">

    for hero images or primary fonts.

  • Preconnect to CDNs (<link rel="preconnect" href="https://fonts.gstatic.com">).


5. Leverage Browser Caching & Priority Hints


  • Cache static assets for at least 1 month.

  • Use fetchpriority="high" on your LCP element to tell browsers what matters most.


LCP and SEO - More Than Speed


  • Ranking: LCP is part of Google’s Page Experience signal.

  • Trust: Fast pages reinforce EEAT’s “Trustworthiness.”

  • Engagement: Quick LCP encourages scroll depth and dwell time.

  • AI Overviews: Slow pages risk exclusion from Google’s AI citations.

Google’s Gemini and SGE favor pages that load what matters first.

How LCP Connects with EEAT and UX


User trust begins before they read a word. If a site loads slowly or visually jumps, it signals carelessness, damaging Trustworthiness within EEAT.


Optimizing LCP shows technical competence and respect for users. It turns speed into credibility.


Future of LCP


  • Element Weighting: Google may prioritize meaningful elements over size.

  • Priority Hints API: lets developers declare critical assets.

  • AI-Driven Performance Scoring: Gemini could use CWV metrics for search ranking validation.

“Fast enough” is evolving from 2.5 seconds to “emotionally instant.”

Related Reads


FAQs


What counts as an LCP element on dynamic or JavaScript-rendered pages?

Google determines the LCP element based on the largest visible content block after rendering.


This can change if a page is dynamically injected by JavaScript.


If new elements replace placeholders (like lazy-loaded images or banners), Google’s LCP timer updates until the last render.


To stabilize metrics, pre-render above-the-fold content or use server-side rendering (SSR).

How does lazy loading affect LCP scores?

Lazy loading improves total performance, but can delay LCP if applied incorrectly.


If your hero image (the LCP element) is lazy-loaded, it won’t render early enough.


Always preload or exclude above-the-fold visuals from lazy loading to ensure early paint.

Does LCP differ on mobile vs. desktop?

Yes. Mobile networks, CPU limits, and smaller viewports change which element Google treats as “largest.”


A full-width hero image might be LCP on desktop, while a heading or intro text might be LCP on mobile.


Use PageSpeed Insights and CrUX data to test both separately. Core Web Vitals thresholds are mobile-first.

How often does Google recalculate LCP scores?

LCP is continuously measured during page load, updating each time a larger element becomes visible.


In Chrome’s real-user data (CrUX), LCP is recorded once per page view, specifically when 75% of users experience similar load times.


This ensures that your score reflects real-world perception, not single test sessions.

How is LCP expected to evolve with future Google updates?

Google plans to refine LCP’s measurement logic with Element Weighting, prioritizing semantically meaningful content (like headlines or CTAs) over purely large visuals.


It may soon factor in viewport importance and user interaction readiness, aligning with new UX-centric metrics like Responsiveness and View Transitions.


 
 
 

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