Core Web Vitals Optimisation

We measure and improve your LCP, INP and CLS. The gain: a faster site, a better user experience and a more solid technical foundation in search.

LCP INP CLS Real-User Data
MetricsLCP · INP · CLS
Typical Timeline2-6 Weeks
MeasurementField + Lab
OutputBefore/After Report

Speed is not a feeling; it is a measured number

“Our site is slow” is not, on its own, a problem definition. Google’s Core Web Vitals reduce speed to three concrete measures: how long it takes for the page’s main content to appear (LCP), how quickly the page responds to user interaction (INP), and how much the content shifts while the page loads (CLS).

We always start optimisation with measurement. Lab tests (Lighthouse) are a useful guide, but what really decides the outcome is data from your actual users. Using Search Console and field data, we identify which page template has problems on which device, and start where the work will pay back most.

The typical sources of gain are well known: oversized images, late-loading fonts, render-blocking scripts, third-party tracking code and image areas with no defined dimensions. We tackle them one by one, measure the effect of each step, and at hand-over give you a written before-and-after comparison.

What it covers

Field Data Analysis

Identifying which pages and devices have problems, using Search Console and real-user measurements.

LCP Improvement

Image format and sizing, priority loading, server response time and caching strategy.

INP and Interaction Speed

Breaking up long JavaScript tasks, removing unnecessary scripts and optimising event handlers.

CLS and Visual Stability

Reserving dimensions for image and ad slots, a font loading strategy and eliminating layout shifts.

Third-Party Code Management

Measuring the impact of tracking, chat and ad code and lightening it with deferred loading.

Server and CDN Configuration

Caching rules, compression, HTTP/2-3 and CDN set-up for gains at infrastructure level.

How we run the project

01

Measurement and Baseline

Current values are recorded and documented so that the size of the improvement is beyond debate afterwards.

02

Bottleneck Analysis

A template-by-template review prioritises the problems with the biggest impact.

03

Implementation

Improvements are made in a test environment first, and the effect of each change is measured separately.

04

Validation

Changes go live and we watch the field data update, tracking the shift in real-user metrics.

05

Sustainability Plan

A measurement and review routine is set up so performance does not erode over time.

What you have at the end of the project

  • Before/after performance report
  • Template-by-template bottleneck analysis
  • List of improvements applied
  • Image and font optimisation configuration
  • Caching and CDN rules
  • Recommendations for managing third-party code
  • Continuous monitoring set-up
  • Technical notes for your development team

The stack we use

LighthousePageSpeed InsightsSearch ConsoleCloudflareNginxRedisWebPAVIFHTTP/3BrotliGTmetrixLighthousePageSpeed InsightsSearch ConsoleCloudflareNginxRedisWebPAVIFHTTP/3BrotliGTmetrix

What do the Core Web Vitals metrics tell you?

Metric What It Measures Typical Cause of Problems
LCP Time for the main content to appear Large images, slow server response
INP Response time to interaction Heavy JavaScript and third-party scripts
CLS Shifts that occur while the page loads Images without dimensions, late-loading fonts

The most common mistake in speed optimisation is starting to fix things before measuring. If you do not know what you fixed, you will not notice when it breaks again.

360 Soft — Web Performance Team

What people ask about Core Web Vitals optimisation

Google counts page experience among its ranking signals. It does not replace content quality, but it can make the difference in close competition, and it improves conversion rate in every case.

No. Our goal is not a lab score; it is getting above the “good” threshold in real-user data and staying there.

Yes. On WordPress sites the biggest gains usually come from plugin clean-up, image optimisation and caching configuration.

In most cases, no. If very heavy animations or huge hero images are in use, we suggest alternatives.

The effect shows in lab measurements straight away. Because Search Console field data uses a 28-day window, the improvement appears in the official metrics within a few weeks.

Yes, as long as the rules and the monitoring routine we set up are maintained. If new plugins and code are added without checks, performance can degrade again over time, so we leave you a checklist.

Let us measure your site’s performance

Let us measure your site’s performance

Share your web address and we will send a free initial analysis and an improvement proposal within 24 hours.

LCP INP CLS

The next success story
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The first consultation is free. We prepare a tailored proposal within 24 hours.

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