From dd51c865100035a3724aad64439606c1c39bdb1b Mon Sep 17 00:00:00 2001 From: Harry Roberts Date: Fri, 29 Sep 2023 17:31:40 +0300 Subject: [PATCH] Add promo to LCP post --- ...2022-03-28-optimising-largest-contentful-paint.md | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/_posts/2022-03-28-optimising-largest-contentful-paint.md b/_posts/2022-03-28-optimising-largest-contentful-paint.md index 7d57cc94..9bb47e6d 100644 --- a/_posts/2022-03-28-optimising-largest-contentful-paint.md +++ b/_posts/2022-03-28-optimising-largest-contentful-paint.md @@ -25,14 +25,10 @@ https://docs.google.com/spreadsheets/d/17Ut1Hgj4aHeimg_Pp_xUi5gkWLMh2FKZBKnqo56R Vital. It’s the easiest to optimise, and it’s the only one of the three that works the exact same in the lab as it does in the field (don’t even get me started on this…). Yet, surprisingly, it’s the least optimised CWV in CrUX—at -the time of writing, **only half of origins in the dataset had a Good LCP**: - -

Once more, we saw an -increase in the number of origins having good Core Web Vitals (CWV) driven by -improved good CLS.

52.7% of origins had good LCP
94.9% of origins had -good FID
70.6% of origins had good CLS
39.0% of origins had good LCP, FID, -and CLS

— Chrome UX Report 📊 (@ChromeUXReport) 8 March -2022
+the time of writing, [**only half of origins in the dataset had a Good +LCP**](https://twitter.com/ChromeUXReport/status/1501325517634490376)! + +{% include promo.html %} This genuinely surprises me, because LCP is the simplest metric to improve. So, in this post, I want to go deep and show you some interesting tricks and