Official statement
Other statements from this video 9 ▾
- 3:17 La vitesse mobile est-elle vraiment un facteur de classement qui change la donne ?
- 12:33 Faut-il mettre en noindex les pages panier vides de votre site e-commerce ?
- 14:35 Faut-il vraiment baliser chaque avis client individuellement en données structurées ?
- 35:10 Les balises canonical peuvent-elles bloquer l'indexation de vos pages stratégiques ?
- 65:00 Comment Google juge-t-il vraiment la qualité d'un site multilingue ?
- 71:20 Les plaintes DMCA peuvent-elles vraiment faire disparaître vos pages de Google ?
- 73:20 Google Search Console : pourquoi 16 mois de données changent-ils vraiment la donne pour votre SEO ?
- 75:39 Les commentaires non pertinents nuisent-ils vraiment au référencement de vos pages ?
- 80:00 PageSpeed Insights mesure-t-il vraiment la performance réelle de votre site ?
PageSpeed Insights no longer relies solely on traditional lab tests: the tool now displays real-world data collected from actual Chrome users. This means you can finally measure the experience your visitors have, not just a theoretical score. This change requires you to consider two complementary types of metrics to effectively optimize the actual performance of your pages.
What you need to understand
What’s the difference between simulated data and real user data?
Simulated performance scores (also known as Lab data) are generated in a controlled environment: stable connection, standardized device, empty cache. It's reproducible, but it doesn't necessarily reflect the experience of your real visitors.
Real user data (Field Data or CrUX) comes from millions of Chrome users who have agreed to share their browsing stats. It captures real-world conditions: degraded mobile networks, low-end devices, varied geolocation. It’s raw, sometimes noisy, but it represents the reality of your performance.
Where exactly does this real data come from?
Google collects these metrics through the Chrome User Experience Report (CrUX). Only users who have explicitly enabled the sharing of usage statistics in Chrome contribute to this dataset.
CrUX aggregates data over a rolling 28-day period, by origin (full domain) and sometimes by individual URL if traffic is sufficient. The metrics include LCP, FID, CLS, TTFB, and other Core Web Vitals measured under real conditions.
Why is Google adding this layer now?
Because Core Web Vitals have become an official ranking factor. Measuring only in the lab is no longer enough: Google wants you to optimize for the actual experience, the one that matters for ranking.
PageSpeed Insights thus becomes a unified dashboard: you see your theoretical performance (what you can achieve in optimal conditions) alongside your real-world performance (what your users actually experience). The gap between the two often reveals hidden issues: network problems, geographic variability, unstable third-party resources.
- Lab Data: reproducible, ideal for diagnosing and testing optimizations in development
- Field Data (CrUX): reflects the real experience that impacts Google ranking
- Lab/Field Gap: often indicates specific issues affecting certain user segments (3G mobile, remote geographies)
- 28-Day History: CrUX data is not instantaneous; it takes time to see the impact of an optimization
- Traffic Threshold: low-traffic URLs do not have individual CrUX data, only at the origin level
SEO Expert opinion
Is this Lab + Field integration really new?
No, and it's important to emphasize that. CrUX has been around since 2017, and PageSpeed Insights has been displaying it for several years. What’s changing here is likely the clearer emphasis on these two data sources in the interface.
The real novelty is not technical but communicational: Google is now insisting that webmasters stop focusing solely on the Lab score. Too many sites optimize for a 100/100 in the lab while delivering a poor experience in real conditions. [To be verified] whether this update involves a specific interface redesign or simply a reminder of best practices.
Are CrUX data reliable for decision-making?
Yes, but with nuances. CrUX relies on a biased sample: only Chrome desktop and Android (not iOS), only users who have enabled data sharing (often more tech-savvy). Safari, Firefox users, or those who block telemetry are not counted.
For high-traffic sites with diverse audiences, this bias is diluted. For specific niches (tech-savvy users on Firefox, iOS-heavy audiences), CrUX may under-represent your real issues. In these cases, supplement with your own RUM tools (Real User Monitoring) to capture 100% of your audience.
Should you really aim for 100/100 in both Lab and Field?
No. Aiming for 100/100 in Lab is often counterproductive: it leads to costly micro-optimizations for marginal gains. What matters for ranking is to reach the
Practical impact and recommendations
How can you leverage these two data sources together?
Use Lab data to identify quick technical wins: unoptimized images, blocking JavaScript, non-critical resources loaded first. This is your controlled test environment where each improvement can be isolated.
Then validate the real impact with Field data: deploy, wait 7-14 days (CrUX takes time to refresh), and check if your real-world metrics improve. If Lab increases but Field does not, investigate the causes: misconfigured CDN, slow third-parties, specific mobile issues.
What should you do if your Lab and Field data diverge significantly?
A significant Lab/Field gap often reveals a variability issue. Common causes include: your CDN is fast in Europe (where the Lab test takes place) but slow in Asia, your third-party scripts (ads, tracking) are unstable, your site performs well on 4G but collapses on 3G.
Segment your CrUX data by device (desktop vs mobile) and connection type if available. Use tools like WebPageTest to simulate different network profiles. Test from various geographic locations. Identify which user segment is dragging down your Field metrics, and then optimize specifically for them.
What actions should you prioritize to improve both scores?
First, focus on Field Core Web Vitals, as these directly impact ranking. Traditional optimizations work well: lazy-loading images below-the-fold, preloading critical resources, reducing initial JavaScript, and optimizing server-side rendering.
But beware of pitfalls: some Lab optimizations degrade the Field performance. A typical example: using aggressive JavaScript to prioritize above-the-fold content may improve Lab LCP but degrade TBT (Total Blocking Time) and thus the real experience. Always test under conditions close to the real environment before deploying. If this process seems complex or time-consuming, working with a specialized SEO agency in web performance can save you months of trial and error by directly identifying critical levers for your specific audience.
- Install PageSpeed Insights and monitor Lab + Field side by side each week
- Prioritize optimizations that enhance Field Core Web Vitals (LCP, FID, CLS)
- Segment your analyses: desktop vs mobile, geographies if possible
- Complement with your own RUM tools to capture 100% of your audience (not just Chrome)
- Never sacrifice real UX for a perfect Lab score: Field takes precedence for ranking
- Wait 2-4 weeks after deployment before measuring the Field impact (CrUX latency)
❓ Frequently Asked Questions
Les données CrUX sont-elles disponibles pour tous les sites ?
Combien de temps faut-il pour voir l'impact d'une optimisation dans les données Field ?
Pourquoi mon score Lab est excellent mais mon score Field médiocre ?
Les données CrUX incluent-elles les visiteurs Safari et Firefox ?
Quel score PageSpeed Insights faut-il viser pour le SEO ?
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