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    WEBSITE PERFORMANCE

    Website Performance Agency London

    Slow sites cost revenue at every stage of the funnel. We engineer for Core Web Vitals from the first commit, hit sub-2-second LCP targets and verify performance in production. Build-time engineering, not retrospective fixes. London team, UK clients, 2026 standards.
    LCP < 2.0s
    Mobile target
    INP < 200ms
    Interaction target
    CLS < 0.05
    Stability target

    What is website performance engineering?

    Website performance engineering is the practice of designing and building sites that meet measurable speed and interaction thresholds. For a London brand in 2026 it covers Google's Core Web Vitals metrics (LCP, INP, CLS), image and font delivery pipelines, JavaScript bundle analysis, edge caching strategy and field data verification. Performance is engineered into the build, not bolted on at audit time.

    LCP < 2.0s
    Largest Contentful Paint mobile target
    INP < 200ms
    Interaction to Next Paint target
    CLS < 0.05
    Cumulative Layout Shift target

    What our website performance engineering covers

    01

    Core Web Vitals targets

    Google publishes three thresholds for Core Web Vitals: Largest Contentful Paint under 2.5 seconds, Interaction to Next Paint under 200 milliseconds and Cumulative Layout Shift under 0.1 (per web.dev official documentation as updated for 2026). At Dedote we target stricter internal thresholds: LCP under 2.0 seconds, INP under 200 milliseconds and CLS under 0.05. Field data is measured via the Chrome User Experience Report (CrUX) because Google ranks on field data, not lab data. Akamai's 2017 retail study (still cited as a 2026 industry benchmark) showed that every 100 milliseconds of load delay reduces conversion by 7 percent.

    02

    Image pipelines

    Images are the largest single performance liability on most marketing sites. We deliver AVIF first, WebP as fallback and original format as the last fallback, sized with srcset and sizes attributes for the actual rendered dimensions. The hero image uses fetchpriority="high" and link rel="preload" so it loads before the rest of the page. Cloudinary and Imgix 2026 data both report 60 to 80 percent file size savings on AVIF compared with JPEG at equivalent visual quality.

    03

    Bundle analysis and code-splitting

    JavaScript bundles are the second largest performance liability after images. We run webpack-bundle-analyzer or vite-plugin-inspect on every build to surface what is shipping to the browser. Code-splitting at route level is standard. Dynamic imports for non-critical components. React 19 (released 2024) and Next 15 ship better default code-splitting than earlier versions, which simplifies the optimisation work. Bundle audits typically surface 30 to 50 percent reduction opportunities on legacy React projects we audit.

    04

    Font loading strategy

    Custom fonts can block render for 500 to 2,000 milliseconds if loaded carelessly. We preload critical font files, use font-display: swap, host fonts locally where licensing allows and subset Google Fonts to only the characters the page actually uses. Google's official web.dev guidance recommends combining preload and font-display: swap as the standard 2026 pattern. The result is no flash of invisible text and no LCP hit from font loading.

    05

    CDN and edge caching

    Edge caching reduces TTFB (Time to First Byte) by 100 to 500 milliseconds on UK traffic when origin sits outside London. We deploy on Vercel, Cloudflare, Netlify or Fly.io depending on the framework and data residency requirements. Static assets cached at edge with long max-age and immutable hashes. HTML cached with stale-while-revalidate. Cloudflare's 2026 performance report cites median TTFB reductions of 220 milliseconds for UK traffic served from London edge versus US origin.

    06

    Performance monitoring in production

    Lab data lies. Field data tells the truth. We deploy real-user monitoring via Vercel Analytics, Cloudflare Web Analytics, SpeedCurve or a custom CrUX-based dashboard. Alerts fire when LCP, INP or CLS drift above target. Monthly reports show field data percentiles, not averages, because Google ranks on the 75th percentile of mobile data per official CrUX documentation.

    Our website performance process

    01

    Audit

    Lab and field data audit. Lighthouse, PageSpeed Insights, CrUX and WebPageTest run on top pages. Output: ranked issues list with revenue impact estimate per issue.

    02

    Plan

    Performance budget set per page type. Image pipeline, bundle structure, font strategy and edge caching all decided before any code changes.

    03

    Engineer

    Changes shipped in staged releases. Each release measured against the budget. CI fails the build if a metric regresses past threshold.

    04

    Monitor

    Real-user monitoring deployed. Alerts configured. Monthly performance report shared with the client.

    "Google ranks on field data, not lab data. Your Lighthouse score does not matter. Your CrUX percentiles do."

    Field data first
    We measure what Google measures.
    Performance budget in CI
    Builds fail when metrics regress.
    Cloudflare and Vercel certified
    Edge stack we deploy on daily.

    Common Questions About Website Performance

    Sources

    1. Google web.dev, Core Web Vitals thresholds, 2026
    2. Chrome User Experience Report (CrUX) documentation, Google, 2026
    3. Akamai Online Retail Performance Report, 2017 (still cited 2026)
    4. Cloudflare 2026 Edge Performance Report
    5. Cloudinary and Imgix 2026 Image Format Comparison
    UX StrategyUI DesignReact DevelopmentCMS IntegrationTechnical SEO

    Sub-two-second LCP. Verified in production.

    Find out where your London site is losing speed in 2026.

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