Core Web Vitals

Googles reale Messwerte für Ladegeschwindigkeit, Reaktionsfähigkeit und visuelle Stabilität.

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Einfach erklärt

Core Web Vitals measure loading, responsiveness, and layout stability using real-user data when enough is available.

Lab tests help diagnose issues; field data reflects real visits. These metrics cannot guarantee rankings or overall quality.

Die Grundlage

What matters in Core Web Vitals

LCP — loading

Largest Contentful Paint measures main-content loading. Good: 2.5 seconds or less at the 75th percentile.

INP — responsiveness

Interaction to Next Paint measures responsiveness. Good: 200 milliseconds or less at the 75th percentile.

CLS — stability

Cumulative Layout Shift measures unexpected movement. Good: 0.1 or less at the 75th percentile.

Angewendet von The Forge

Wie wir es praktisch umsetzen

We use these measures to reduce waiting and keep pages responsive and stable.

Deliver the important content early

Use server rendering, caching, optimised images, and deliberate loading priorities.

Keep interactions responsive

Limit JavaScript and long tasks so controls respond quickly.

Reserve visual space

Reserve media dimensions and manage font loading to reduce layout shifts.

Measure lab and field data

Use lab tests to diagnose issues and field data to understand real visits.

Eine nützliche Grenze

Wichtige Grenzen

  • Core Web Vitals are not the same thing as a Lighthouse performance score.
  • Passing the thresholds does not guarantee rankings, conversions, or a satisfying overall experience.
  • A single local test cannot represent the range of real devices, networks, pages, and visitors.

Ein konkretes Beispiel

A stable service landing page

A service page loads its main content early, reserves image space, and responds quickly. Field data checks the experience of real visitors.

Weiterführende Informationen

Primärquellen

Prüfen Sie die Quellen hinter diesen Erklärungen.

Verwandtes Konzept

Analytics & conversions: Analytics und Conversions

Die Website-Nutzung unter Berücksichtigung der Besucherentscheidungen messen, um hilfreiche nächste Schritte zu verstehen.