Core Web Vitals Audit Service
Comprehensive analysis of your site's Core Web Vitals with actionable fixes for LCP, CLS, and INP. Pass Google's page experience assessment and improve your search rankings with expert performance diagnosis.
Get a QuoteWhy Core Web Vitals Matter
Google uses Core Web Vitals as a ranking signal. Sites that fail these metrics face:
- Lower search rankings — Poor performance is a negative ranking factor
- Reduced visibility — Google Search Console flags failing pages
- Lost conversions — Slow, unstable pages drive users away
- Mobile penalties — Mobile Core Web Vitals often fail first
The challenge is identifying exactly what’s causing poor scores. Generic advice like “improve performance” doesn’t help when you need specific fixes.
The Three Core Web Vitals
Largest Contentful Paint (LCP)
LCP measures how quickly the main content loads. Target: under 2.5 seconds.
What We Analyse:
- LCP element identification (what’s being measured)
- Render-blocking resources delaying paint
- Server response time (TTFB) contribution
- Image loading and optimisation
- Font loading strategies
- Critical rendering path
Common LCP Problems:
- Large hero images loading slowly
- Web fonts blocking text render
- JavaScript blocking first paint
- Slow server response times
- Third-party scripts delaying load
Cumulative Layout Shift (CLS)
CLS measures visual stability during page load. Target: under 0.1.
What We Analyse:
- Layout shift sources and magnitudes
- Images and embeds without dimensions
- Dynamically injected content
- Web font loading impact
- Ad and banner behaviour
- Late-loading CSS
Common CLS Problems:
- Images without width/height attributes
- Fonts swapping and causing text reflow
- Ads loading and pushing content
- Dynamic content above the fold
- Lazy-loaded images shifting layout
Interaction to Next Paint (INP)
INP measures responsiveness to user interactions. Target: under 200ms.
What We Analyse:
- Long task identification
- JavaScript execution time
- Event handler efficiency
- Hydration performance (frameworks)
- Third-party script interference
- Main thread blocking
Common INP Problems:
- Heavy JavaScript blocking interactions
- Slow event handlers
- Framework hydration delays
- Third-party analytics scripts
- Synchronous layout thrashing
Our Audit Process
1. Data Collection
We gather both field data and lab data:
Field Data (Real User Metrics)
- Chrome User Experience Report (CrUX)
- Search Console Core Web Vitals report
- Real user monitoring if available
Lab Data (Controlled Tests)
- Lighthouse audits
- WebPageTest analysis
- Chrome DevTools Performance panel
Field data shows what real users experience. Lab data helps diagnose specific issues.
2. Root Cause Analysis
Each failing metric is traced to specific causes:
- Request waterfall analysis
- JavaScript execution profiling
- Layout shift attribution
- Long task identification
- Resource loading order
3. Impact Assessment
Issues are ranked by:
- Impact on Core Web Vitals scores
- Percentage of users affected
- Effort to implement fix
- Dependencies on other changes
4. Recommendations
You receive specific, actionable fixes:
- Exact code changes needed
- Configuration updates
- Resource optimisation steps
- Implementation priority order
Framework-Specific Guidance
We provide tailored recommendations for your stack:
WordPress
- Plugin impact analysis
- Theme performance issues
- Caching configuration
- Image optimisation plugins
React / Next.js
- Hydration optimisation
- Code splitting strategies
- Image component usage
- Server component opportunities
Vue / Nuxt
- Lazy loading strategies
- SSR optimisation
- Bundle analysis
- Runtime performance
Shopify
- Theme Liquid optimisation
- App impact analysis
- Asset delivery
- Section loading
Static Sites
- Build optimisation
- Asset pipeline
- CDN configuration
- Preloading strategies
What You’ll Receive
Executive Summary
- Overall Core Web Vitals status
- Priority actions (top 3-5 fixes)
- Expected improvement potential
Detailed Analysis
- Metric-by-metric breakdown
- Root cause for each failure
- Supporting evidence (screenshots, traces)
Fix Recommendations
- Prioritised by impact and effort
- Specific implementation steps
- Code examples where applicable
- Framework-specific guidance
Measurement Plan
- How to verify improvements
- Tools for ongoing monitoring
- Target metrics to achieve
Common Fixes We Identify
For LCP:
- Preload critical images
- Inline critical CSS
- Defer non-critical JavaScript
- Optimise server response time
- Use modern image formats (WebP/AVIF)
For CLS:
- Add explicit dimensions to images
- Reserve space for dynamic content
- Use font-display: swap with fallbacks
- Avoid inserting content above existing content
- Set fixed ad slot dimensions
For INP:
- Break up long JavaScript tasks
- Defer non-critical scripts
- Optimise event handlers
- Use requestIdleCallback for non-urgent work
- Reduce main thread blocking
Getting Started
To begin a Core Web Vitals audit, provide:
- Website URL and key pages to analyse
- Current PageSpeed Insights or Lighthouse scores
- Technology stack (CMS, framework, hosting)
- Specific pages or templates failing
- Timeline for implementing fixes
A quote will be provided within 24-48 hours based on scope.
Common Issues Found
Render-blocking JavaScript and CSS delaying LCP
Images without explicit dimensions causing layout shifts
Slow server response time (TTFB) affecting all metrics
Heavy JavaScript hydration blocking interactions
Web fonts causing invisible text or layout reflows
Third-party scripts blocking the main thread
Frequently Asked Questions
What are Core Web Vitals?
Core Web Vitals are Google's essential metrics for user experience: Largest Contentful Paint (LCP) measures loading performance, Cumulative Layout Shift (CLS) measures visual stability, and Interaction to Next Paint (INP) measures responsiveness.
Why do Core Web Vitals matter for SEO?
Google uses Core Web Vitals as ranking signals. Sites that pass all three metrics get a ranking boost, while poor scores can negatively impact your search visibility and user experience.
What's included in the audit?
You receive a comprehensive report analysing each metric, identifying specific issues causing poor scores, and providing prioritised, actionable fixes with implementation guidance for your tech stack.
Do you implement the fixes?
This audit provides the analysis and recommendations. Implementation is available as a separate service, or we can guide your development team through the fixes.
How long until I see improvements?
Lab metrics improve immediately after implementing fixes. Field data (what Google uses) takes 28 days to update in Search Console as it reflects real user data collected over that period.
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