Conversion (CRO)

Core Web Vitals: How LCP, INP, and CLS Affect Your Site's Conversion

A slow page loses the sale before it has a chance to convince. A direct guide to hitting Core Web Vitals targets and improving conversion.

Photo of Yara IenciusYara IenciusPartner and Head of Design & UX, KCLOCKPublished on 9 min readShare this articleWhatsApp
3D render of three circular gauges with glowing orange needles representing web performance metrics

Speed is not a technical vanity metric: it is revenue. A slow page loses the visitor before it even gets a chance to convince. This guide explains the three Core Web Vitals metrics, what each one measures, what the targets are, and what to do, in practice, to hit them.

The three metrics and their targets

Core Web Vitals: what each metric measures and the threshold considered good
MetricWhat it measuresTarget (good)
LCPtime until the largest visible element appearsunder 2.5 s
INPthe page's response to user interactionsunder 200 ms
CLSvisual stability of the layoutbelow 0.1

These targets apply to the 75th percentile of real visits, measured in the field. Lab testing is useful for diagnosis; field data is what actually counts.

How to improve LCP

  1. Identify the LCP element, almost always the hero image or the main headline.
  2. Serve images in WebP or AVIF, with width and height declared.
  3. Remove loading="lazy" from the top element and use fetchpriority="high".
  4. Preload the critical image and the fonts used above the fold.
  5. Apply font-display: swap so text rendering isn't blocked.

How to improve INP

  • Reduce third-party JavaScript: every tag you add charges a toll on interaction.
  • Break up long tasks and defer anything not needed on the first screen.
  • Load chat, map, and video scripts only on interaction.
  • Avoid animations that trigger layout on every frame.

How to get CLS to zero

Reserve space for everything that loads later: images, banners, cookie notices, and ads. Fonts with metrics very different from their fallback also shift the text, use size-adjust or a closer fallback.

How to measure with confidence

Field

Chrome's user experience report and Search Console show the real behavior of your visitors.

Lab

Lighthouse and WebPageTest help isolate the cause. Combine them with GA4 events to connect speed and conversion by page.

On commercial pages, handling performance is part of the same cycle described in CRO and it directly affects landing page structure.

Core Web Vitals checklist

  • LCP element identified for each page template.
  • Images in WebP/AVIF with declared dimensions.
  • Hero image with high fetchpriority and no lazy loading.
  • Fonts preloaded with font-display: swap.
  • Third-party scripts audited and deferred.
  • Space reserved for asynchronous elements.
  • Field data monitored in Search Console.

Conclusion

Core Web Vitals is not a developer's checklist: it is conversion infrastructure. Fixing LCP, INP, and CLS increases the return on everything you're already running, without adding a real to media spend.

Frequently asked questions about core web vitals

What are Core Web Vitals?

They are three user experience metrics defined by Google: LCP, which measures the time until the largest visible element appears; INP, which measures responsiveness to interactions; and CLS, which measures the layout's visual stability.

What are the targets for LCP, INP, and CLS?

LCP under 2.5 seconds, INP under 200 milliseconds, and CLS below 0.1, always looking at the 75th percentile of real visits measured in the field.

Do Core Web Vitals influence Google ranking?

Yes, as part of the page experience signals. The direct impact on ranking is moderate, but the effect on conversion and abandonment tends to be much bigger.

How do I improve the LCP of a landing page?

Serve the main image in WebP or AVIF with declared dimensions, remove lazy loading from the top element, use a high fetchpriority, preload the critical image, and apply font-display swap.

What is the difference between lab data and field data?

Lab data comes from simulated tests, like Lighthouse, and is useful for diagnosis. Field data comes from real users and is what Google considers in its evaluation.

Photo of Yara Iencius, Partner and Head of Design & UX, KCLOCK

About the author

Yara Iencius

Partner and Head of Design & UX, KCLOCK

Conversion designer. Responsible for UX/UI, interfaces, landing pages, and e-commerce sites that turn strategy into a high-converting experience.

  • #performance
  • #technical seo
  • #cro

Want to apply this to your funnel with people who do it every day?

KCLOCK builds high-converting funnels, landing pages, websites, and e-commerce stores. We diagnose your current funnel and show you where the revenue you're leaving on the table is hiding.

Further reading

More from the same cluster to go deeper on core web vitals.