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Page experience is Google’s framework for evaluating how users interact with your pages beyond content quality. Core Web Vitals, mobile usability, HTTPS, and interstitial guidelines all feed into page experience signals. For competitive keywords, page experience can be the deciding factor between page 1 and page 2.
Core Web Vitals: The Three Metrics
Largest Contentful Paint (LCP)
Measures loading performance — specifically, how long it takes for the largest visible element to render. Target: under 2.5 seconds.
For more on this topic, see our guide on core web vitals seo.
For more on this topic, see our guide on site speed optimization seo.
- Optimize images (WebP format, lazy loading, responsive sizes)
- Implement CDN for static assets
- Reduce server response time (TTFB under 200ms)
- Preload critical resources
Interaction to Next Paint (INP)
Measures responsiveness — how quickly the page responds to user interactions. Target: under 200 milliseconds.
- Minimize JavaScript execution time
- Break up long tasks (yield to main thread)
- Reduce DOM size
- Defer non-critical scripts
Cumulative Layout Shift (CLS)
Measures visual stability — how much the page layout shifts during loading. Target: under 0.1.
- Set explicit width/height on images and embeds
- Reserve space for dynamic content (ads, banners)
- Avoid inserting content above the viewport
- Use CSS containment where appropriate
Beyond Core Web Vitals
Page experience encompasses more than three metrics:
- Mobile-friendliness: Responsive design, tap targets, readable text
- HTTPS: Secure connection (non-negotiable in 2026)
- No intrusive interstitials: Avoid full-screen popups blocking content
- Safe browsing: No malware or deceptive content
Measuring Page Experience
Use Google Search Console’s Core Web Vitals report for field data (real user metrics). PageSpeed Insights provides both field and lab data with specific recommendations. Chrome DevTools Lighthouse gives detailed lab audits.
Page experience optimization is continuous. Monitor your Core Web Vitals monthly, address any regressions immediately, and test changes in staging before deploying to production.
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