Fix The Metrics Google Actually Measures, Not Generic "Speed"
We target LCP, INP, and CLS individually, so your pages pass the exact thresholds Google checks.
Core Web Vitals optimisation is the process of diagnosing and fixing the three specific metrics Google measures for page experience - LCP, INP, and CLS - individually, rather than applying general speed advice and hoping it covers all three.
What is Core Web Vitals?
Core Web Vitals are three specific metrics Google uses to judge real-world page experience - how fast content appears, how quickly the page responds to a tap, and whether elements jump around while loading. A page can pass a generic speed test and still fail one of these, because each metric has its own cause.
Treating them as one undifferentiated "speed" problem is expensive: a fix that helps LCP can leave INP or CLS untouched, so a site can spend real effort on speed work and still show up flagged in Search Console.
It's different from general website speed optimisation, which chases an overall load-time number, and from broader technical SEO, which covers crawling and indexing. Core Web Vitals work targets these three specific, individually-measured metrics and their specific causes.
Common problems we solve
Flagged in Search Console
Pages sit in the "Needs Improvement" or "Poor" category with no clear cause identified.
Passes lab tests, fails in the field
A page scores well in a single lab test but real visitors report a different experience.
Layout jumps during load
Ads, embeds, or web fonts shift content after it has already rendered.
Feels slow to interact with
The page loads fine but taps and clicks feel delayed - an INP problem, not a loading problem.
Generic speed fixes don't move the score
Image compression and caching help overall load time but leave INP or CLS untouched.
Everything covered in this service
LCP Diagnosis & Fixes
Identifying the actual largest content element and fixing the server response and render-path delays behind it.
INP Optimisation
Finding the main-thread blocking scripts and third-party tags slowing down interaction responsiveness.
CLS Elimination
Reserving space for images, ads, and embeds, and fixing font-loading so nothing jumps during load.
Field Data Monitoring
Search Console and real-user monitoring set up to track what visitors actually experience, not just a lab score.
Our optimization framework
Field Data Review
We start with real-user data from Search Console, not just a single lab test, since lab scores can miss what actual visitors on real networks experience.
Per-Metric Diagnosis
Each failing metric is diagnosed on its own terms - LCP, INP, and CLS have different root causes and do not share a fix.
Template-Level Fixes
Fixes are applied at the template level where possible, since most Core Web Vitals problems repeat across every page using the same layout.
Field Verification
Changes are checked against real-user field data, not just a lab re-test, since lab and field results can diverge.
Ongoing Tracking
Search Console and monitoring stay in place after the fix, so a new script or image doesn't quietly push a metric back into the red.
What actually changes
| Before | After |
|---|---|
| LCP fails without knowing which element or cause | Largest content element identified and its specific delay fixed |
| INP judged only by a subjective "feels slow" | Main-thread blocking scripts identified and interaction responsiveness tuned |
| Layout jumps during load from ads, embeds, or fonts | Space reserved for images, embeds, and fonts before they load |
| Improvement checked only against a single lab test | Verified against real-user Search Console field data |
| A passing score quietly slips back to failing | Ongoing monitoring flags regressions before Search Console does |
What we report on
Core Web Vitals status
Tracked per metric against the Search Console field-data thresholds, not a single blended score.
Lab vs field gap
Monitored so a passing lab score is checked against what real visitors actually experience.
Regression tracking
Ongoing tracking flags any metric that slips back toward failing after a new deploy.
Tools & platforms
Industries we optimize for
Built for teams like yours
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
LCP, INP, and CLS are three separate problems with three separate causes - we diagnose and fix each one on its own terms instead of running one generic speed pass and hoping it covers all three.
Related Web Optimization services
Stop Losing Conversions To Load Time
Website speed optimisation covering hosting, code, and asset delivery - fixed at the source, not patched with a caching plugin.
Web OptimizationBuilt and tested on the devices your customers use
Mobile-specific optimisation for load time, layout, and usability - verified on real devices and real networks, not a desktop browser emulator.
Close The Holes Before Someone Finds Them
Website security hardening - SSL, updates, backups, and vulnerability monitoring - built around how most compromises actually happen.
Web OptimizationKeep Your Site Running Long After Launch Day
Ongoing updates, monitoring, and small fixes so your site never quietly degrades between projects.
How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
They're a confirmed ranking signal, but a modest one relative to content relevance and backlinks. The more consistent impact is on conversion - visitors leave a slow, jumpy, unresponsive page before they ever see your offer, regardless of where it ranks.
No. We can diagnose exactly what is failing and fix the specific cause, and most sites do reach passing thresholds once the real bottleneck is addressed - but third-party scripts, ad networks, or platform constraints outside our control can limit what's achievable on some pages.
Search Console reports field data - real visits from real users on real devices and networks - while most speed testing tools report a single lab simulation. The two can diverge, especially on INP, which depends heavily on the visitor's actual device.
INP tends to take the most work, because it is often caused by third-party scripts (analytics, chat widgets, ad tags) that are outside your own codebase and harder to control directly.
Field data is based on a rolling 28-day window of real visits, so even a fix deployed today will not show improvement in Search Console for several weeks. A lab test will show the change immediately, but the field report lags by design.
There's overlap, but Core Web Vitals work targets these three specific metrics and their specific causes, while general speed optimisation covers broader load-time and asset concerns that may not move LCP, INP, or CLS directly.
Flagged in Search Console for Core Web Vitals?
We can tell you which of the three metrics is actually failing and why, before recommending a fix.
Ready to get started?
We usually reply within 24 hours.
Core Web Vitals, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Diagnosis | Per-metric breakdown of what is causing each Core Web Vitals score to fail, by page template |
| Fixes | Implementation of the specific technical changes each metric requires |
| Field Data Setup | Search Console and real-user monitoring configured to track real visitor experience, not just a lab score |
| Regression Tracking | Ongoing monitoring so a passing score does not quietly slip back to failing |
How this compares
| Metric-Specific Diagnosis | Generic Speed Advice |
|---|---|
| Identifies which of LCP, INP, or CLS is actually failing | Treats "speed" as one undifferentiated problem |
| Fixes match the specific cause per metric | Common fixes (image compression) may not touch INP or CLS at all |
| Verified against Search Console field data | Often verified against a single lab test only |