Core Web Vitals optimization.
LCP, CLS, and INP are how Google scores what your visitors feel: the wait, the layout jumps, the lag after a tap. We fix all three in the code and verify the fix where it counts, in the field data Google actually uses.
Get a free vitals check ↗Overview
Traffic
Keywords
Backlinks
Conversions
Orange and red, month after month.
The problem
Search Console flags the URLs, a plugin gets installed, the lab score improves, and the field data stays orange. Because the real causes, oversized hero images, layout shifts from ads and embeds, heavy scripts on tap, were never touched.
Our solution
We work from the field data backwards to the cause of each metric, fix it in the code, and watch the 28-day data confirm it. Green vitals that hold, not a lab score for a screenshot.
Search Console flagging your URLs? Send us the property, we will read it free.
Read my vitals ↗Vitals services.
Each metric has its own causes. We treat them separately, because they are.
LCP optimization
The largest element, usually the hero image, preloaded, sized, and served so the page appears fast.
CLS elimination
Layout shifts from images, fonts, ads, and embeds pinned down until the page loads still.
INP tuning
Long tasks broken up and handlers slimmed, so taps and clicks respond without the awkward pause.
Render path cleanup
Blocking scripts and CSS reordered, deferred, or removed, so the browser paints sooner.
Font loading strategy
Web fonts loaded without the flash, swap, or shift that costs both CLS and polish.
Field data monitoring
CrUX and Search Console watched after the fix, because the 28-day field window is the real scoreboard.
Not sure which of these you need? We will map it with you in a free call.
Book a free call ↗The vitals toolkit.
Field data first, lab tools to diagnose, code to fix.
Our vitals process.
Diagnose from field data, fix in code, verify in the field again.
Why our vitals work turns green.
Vitals are a developer problem wearing an SEO badge. We happen to be both.
Cause-level fixes
We fix the image, the font, the script, not just wrap the site in another optimization plugin.
Field data is the judge
Success means green in CrUX and Search Console, the data Google ranks with, not a lab screenshot.
Template-level thinking
Fixing the product template fixes a thousand product pages. We work at that level.
No side effects
Design, ads, and tracking keep working. Fixes are tested on staging against the full page behaviour.
Vitals work fits when.
Industries we serve.
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Start a project ↗Vitals questions, answered.
Three metrics Google measures from real visitors: LCP for how fast the main content appears, CLS for how much the layout jumps around, and INP for how quickly the page responds to interaction. Together they are Google's definition of a good page experience.
Yes, as part of the page experience signals. They rarely outrank great content, but between comparable pages they tip the scale, and poor vitals also lose visitors before any content is read.
Lab tools test once on a simulated device; Search Console reports 28 days of real visitors on real phones and networks. The field data is what Google uses, which is why we treat it as the scoreboard.
An oversized or late-loading hero image, slow server response, or render-blocking assets ahead of the main content. It is nearly always fixable at the template level.
Images without dimensions, web fonts swapping in, and ads or embeds pushing content down as they load. Each cause has a specific fix, and we apply them all.
INP measures the delay of every interaction on the page, not just the first, so it is a stricter and more honest measure of responsiveness. Heavy scripts that FID forgave, INP does not.
A well-configured caching plugin helps LCP, but CLS and INP live in the theme and scripts, where plugins cannot reach. That is why the plugin-only route so often ends orange.
The fixes land in days to weeks; Search Console then needs its 28-day field window to confirm. Plan for roughly six to eight weeks from start to verified green.
A fixed price per site or template set, based on what the free check finds. You see the failing metrics and the plan before committing.