SEOApril 20, 2026· 10 min read· updated August 30, 2026

Core Web Vitals: the speed Google turns into clients

A site one second slower means fewer enquiries and lower Google rankings. We explain Core Web Vitals in plain language and show how speed converts into sales.

Core Web Vitals: the speed Google turns into clients

Google has paid attention to site speed for years. Core Web Vitals is how it measures it - three numbers that affect the user experience, to some degree your position in search, and whether a client waits for your offer to load at all.

Short answer: what matters most is data from real visits, especially on mobile, because Google mainly evaluates the mobile version of a site. The three metrics are LCP under 2.5s, INP under 200ms and CLS under 0.1. The biggest single win is usually images; the biggest loss comes from scripts nobody uses.

The three numbers to know

Three metrics, three questions
MetricWhat it measures
LCPunder 2.5sHow long until the main content appears
INPunder 200msHow fast the page answers a click
CLSunder 0.1Whether content jumps while loading

Worth knowing: INP replaced the older FID metric in 2024 and it is stricter. FID measured the response to the first click; INP measures the worst response across the whole visit. A site that passed before may have stopped passing since, with no change to its code.

What speed does to sales

A 2020 Google and Deloitte study found that a 0.1-second mobile speed improvement was associated with conversion rising 8.4% in retail and 10.1% in travel. It is a correlation within a specific group of brands, not a universal rule, but the direction is clear: a slow site costs clients, and with a premium client it also undermines the brand.

What one second costs

~8%

conversion lift per 0.1s saved

40-60

typical mobile score for a theme

2.5s

Google's threshold for a good LCP

53%

of mobile visits are abandoned when a page takes over 3s to load (Google, 2016)

Speed is not a technical feature. It is the first impression, a ranking signal and a conversion lever at once.

Lab data versus field data

This distinction explains most of the confusion around PageSpeed. The score you see immediately is a lab test: one simulation, one connection, one device. Below it, if the site has enough traffic, sits a second section - real user data from the last 28 days.

Google ranks on the second one. That is why a site can score 95 in the test and still fail Core Web Vitals, because too large a share of real visitors arrive on a phone with a weak signal - the assessment uses the 75th percentile of visits. And why, after optimising, you wait a few weeks before the assessment moves: field data covers the last 28 days.

Where the seconds actually come from

On company websites the order of wins is almost always the same:

The first two can be fixed without rebuilding anything, and are usually the right place to start.

Why templates lose this race

WordPress themes and site builders load dozens of scripts just in case - carousels, animation libraries, trackers. That ballast often cannot be switched off easily. Which is why the median mobile score of WordPress sites in HTTP Archive data is around 40, while a site written from scratch, without unnecessary scripts, has a much easier path to a good score - although the technology alone does not guarantee it.

The full comparison of both approaches, with five-year costs, is in WordPress or custom code.

How to check your site in 30 seconds

Go to pagespeed.web.dev, enter the address and start with the section showing data from real visits, if it is available - that is what matters to Google. The score below it is a lab test: good for finding problems, not for predicting rankings. A low mobile score is a signal to look at images, scripts and fonts.

If you run a shop or a site heavy with photography, the piece on what an online store costs covers how performance affects running costs as a catalogue grows.

FAQ

Is 100/100 in PageSpeed necessary?

No. Passing the Core Web Vitals thresholds in real user data is necessary. A hundred points in a lab test is pleasant, but it is not what ranking is based on.

We optimised and nothing changed. Why?

Because field data is a 28-day average. A change deployed yesterday starts showing in a few weeks and settles after a month.

Does speed really affect ranking?

It does, but less than agencies selling optimisation suggest. It is a tie-breaker between pages with comparable content - it will not beat somebody answering the question better. Conversion, on the other hand, it affects directly and immediately.

Where do I start with no budget?

Compress the images and remove the scripts you do not use. That is two hours of work and usually the biggest single jump in score.

Summary

Core Web Vitals asks three questions: is the content visible, does the page respond, and does anything jump. Measure them on the mobile score and on real user data, not on a single lab test. Start with images and unused scripts - that is where most of the lost seconds are.

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