What is PLS by browser language
PLS by browser language shows how Perceived Load Speed (PLS) varies depending on the language setting of the user’s browser. This can reflect differences in localization, regional content delivery, or user demographics — all of which can affect how fast a page feels to load.
PLS (Perceived Load Speed) measures the time it takes for all meaningful visual elements to appear, based on real user experience. Segmenting this by browser language helps uncover whether users in certain locales are getting slower perceived load times.
Healthy PLS by browser language sample
Should you worry
If most browser language groups display similar, healthy PLS values, that indicates your localized experiences are well-optimized and your global audience receives consistent performance.
However, if specific languages consistently show slower PLS, it could mean that:
Translated content is heavier or slower to render
CDN performance is weaker in certain locales
Language-specific elements (e.g., fonts, text length) introduce layout shifts or delays
This is especially important for multi-language websites aiming to provide a uniform user experience across regions.
Unhealthy PLS by browser language sample
An unhealthy trend may show that users browsing in languages like Arabic, French, or Japanese face longer perceived load times than those using English. This could be due to font rendering delays, RTL layout complexities, or heavier localized assets.
Resolving unhealthy PLS by browser language
Go-to action plan to resolve an unhealthy PLS by browser language:
Ask Uxi to analyze your PLS by browser language and suggest improvements.
Use Filters to drill into specific combinations of browser language and page type to identify problem areas.
Simulate LCP of the suspected lens to see if fixing it will resolve the PLS by browser language. If yes, this is where the resolution focus should be.
Use an automated optimization tool like Navigation AI to improve your PLS by browser language.
Once you’ve improved PLS, set an alert to be the first to know if it starts worsening again.
Try it yourself
Discover how your website performs with real user data.