Privacy Policy
SEO RAISER
WordPress · Core Web Vitals

Core Web Vitals metrics speed optimization

WordPress performance work focused on loading, responsiveness, and visual stability, with measurements that reflect how visitors use your pages.

Discuss your WordPress site

We reply within one business day, no commitment required.

Core Web Vitals metrics speed optimization

Fix the cause, not the score

Google rates how fast your pages load, respond to taps and stay stable. We find what holds yours back and fix it at the source.

Measured before and after

Fixes ship in order of impact, each measured against a recorded baseline.

From €200/month From $200/month
Final scope and price agreed before work starts.

Discuss your WordPress site
Loom & Linen product page on a phone with its main image marked as the LCP element, next to a lab test: LCP 3.4 s, of which 1.4 s is spent waiting to request the image because it is lazy-loaded

What Core Web Vitals measure

Google needs 75% of real visits to pass, not one fast test.

2.5 s or less

Loading (LCP)

Largest Contentful Paint: when the biggest image or text block appears. We check server response, how early the image is found, how fast it downloads, and render delay.

200 ms or less

Responsiveness (INP)

Interaction to Next Paint: how fast the page reacts to taps, clicks, and key presses. We look for heavy JavaScript, long-running tasks, and slow click handlers.

0.1 or less

Stability (CLS)

Cumulative Layout Shift: how much the page jumps as it loads. We check image and video sizes, fonts, banners added by scripts, and content that loads late.

Filmstrip of a Loom & Linen product page loading on a phone over six seconds: the main image appears at 2.0 s (LCP), a promo bar pushes the page down at 3.0 s (CLS 0.06), and a menu tap gets its response on screen in 120 ms (INP)
Scroll sideways to see all of it.

Lab tests and field data

Lab tests find the cause. Field data shows what visitors get.

Lab test

Finds the cause

Lighthouse and browser traces load a page under fixed conditions, so a problem can be reproduced, fixed, and tested again.

  • The same device profile, connection, and settings every run
  • Points to the file, script, or element that is slow
  • Shows the effect of a change as soon as it is deployed
  • One run cannot represent every device, connection, or interaction
Field data

Shows what visitors get

The Chrome UX Report (CrUX) collects timings from eligible real visits in Chrome. Google’s assessment is based on this data.

  • Real devices, connections, and interactions
  • Page-level data, kept apart from the site-wide summary
  • Used only once there are enough visits to report on
  • Missing data is a measurement gap, not a failed score

How the work runs

Every fix is rechecked on what visitors use.

Browser trace of a tap on Add to cart in the Loom & Linen store: a chat-widget script keeps the browser busy, so 280 ms of the 390 ms response is spent waiting; the fix loads the widget only when its button is clicked

  1. Record a baseline

    We pick representative page types and visitor paths, note the device profiles and test conditions, and save the lab and field data available.

  2. Fix in order of impact

    Each issue is linked to its likely cause and weighed by visitor impact, effort, and risk. Agreed changes to images, scripts, rendering, or caching ship with functional checks and a rollback path.

  3. Measure again

    We repeat the same tests and follow field data as it updates. The report shows what changed and lists any remaining limits and follow-up work.

Core Web Vitals questions

What lab scores and field data can and cannot show.

Chart of a Loom & Linen product page’s LCP over ten weeks: lab runs drop as soon as a change is deployed, while the field 75th percentile falls gradually over the next 28 days
Does a high Lighthouse score mean a pass?
Not necessarily. Lighthouse is a lab test under fixed conditions, while Google’s assessment uses field data from real visits.
Can work start without field data?
Yes. Browser traces, lab tests, and your analytics can guide the work. We state their limits rather than invent a field result.
Why do field results change slowly?
CrUX reports a rolling 28-day window. Visits from before a change still count until they drop out, so field results trail lab tests.
Can you guarantee a perfect score or rankings?
No. Results depend on the site, visitors, integrations, and test conditions. We target measurable gains, not guaranteed rankings.