Exciting news for our Shopify customers! Now it's easy to enable RUM in your storefront – no coding or dev time required!
With the SpeedCurve RUM app – developed by our friend and Shopify expert @sia – you can:
⚡ Track metrics like Core Web Vitals
⚡ Identify and fix performance issues
⚡ Measure the impact of site speed on business metrics, like conversion rate
⚡ Fight regressions and stay ahead of page slowdowns
There are SO MANY #webperf charts! If you feel overwhelmed, start with these three:
CORRELATION CHART – #sitespeed and business metrics
WATERFALL CHART – how and when elements on your page render, so you can see why pages are slow
COMPETITIVE BENCHMARKS – how fast you are compared to competitors
I talked about these charts (and a lot more!) at @webexpo recently. You can watch my talk here: https://slideslive.com/39043166/connecting-the-dots-between-site-speed-user-happiness-and-business-success
Browser CPU consumption is a major cause of a poor #UX. The main culprit? #JavaScript execution. Now you can monitor Long Animation Frames (LoAFs) and fix the third parties and other scripts that are hurting your page speed!
https://www.speedcurve.com/blog/long-animation-frames-support/
Finally, the definitive explainer for Long Animation Frames! Not sure what Long Animation Frames (aka LoAF) are, nor why they're crucial for quantifying and optimizing the JavaScript that's hurting your user experience? This brilliant guide by @andydavies covers:
🔥 Why frame rate matters
🔥 Anatomy of a LoAF
🔥 Key LoAF milestones & what to do with milestone data
🔥 How to connect LoAF & INP data
🔥 How to get started
https://www.speedcurve.com/blog/guide-long-animation-frames-loaf/
I do a LOT of talks about the connection between site speed, UX, and business success. The version I gave at @webexpo last week is my favourite so far. You can watch it here: https://slideslive.com/39043166
Topics included:
👉 Quantifying "web stress"
👉 Measuring business impact
👉 Optimizing the critical rendering path
Thanks again to everyone who came to my #WebExpo talk about the intersection of site speed, UX, and business metrics – and how to make a data-driven business case for investing in web performance. And thank you to Šárka and Steven for inviting me! I had a wonderful time!
My slides are up. If you have any questions or feedback, I'd love to hear from you!
There's a lot to unpack with the Long Animation Frames (LoAF) API! This excellent guide from Andy Davies covers:
🎞️ Why animation frame rate matters for #webperf and #ux
🎞️ Anatomy of a LoAF
🎞️ Key LoAF milestones and what to do with milestone data
🎞️ Script attribution
🎞️ How to match script data to INP, including sub-parts
🎞️ How to capture LoAF entries
🎞️ How to get started with LoAF!
https://www.speedcurve.com/blog/guide-long-animation-frames-loaf/
Finally, a LoAF explainer I can understand! Thank you, @andydavies!
Historically, the biggest issue with RUM is that it captures a lot of data but it's hard to tease out what's actionable. The Long Animation Frames (LoAF) API is an evolutionary leap forward for RUM diagnostics, because it lets you find and fix the third parties and other scripts that hurt your #pagespeed and #UX. The only downside to LoAF is that it's tricky to wrap your head around.
https://www.speedcurve.com/blog/guide-long-animation-frames-loaf/ #webperf #sitespeed
CPU consumption by the browser is one of the main causes of a poor user experience. The biggest culprit? JavaScript execution. Now you can monitor Long Animation Frames (LoAF) and fix the third parties and other scripts that are hurting your UX!
https://www.speedcurve.com/blog/long-animation-frames-support/
Calculating downtime loss is pretty straightforward. For example, if your site averages $100K/hour in revenue, and you suffer a 3-hour outage, you can estimate you lost $300K.
Calculating losses due to site slowdowns isn't as simple, but you can still get an idea of what those losses might be.
Scroll down this post to find a formula you can use to estimate how site slowdowns can hurt your revenue:
A surprising number of people aren't aware that the consent banners on their pages hurt #ux and #seo. That's because consent banners delay LCP for a lot of pages.
The result? Your visitors have a slow experience, which sucks for them. And because LCP is a Google search ranking factor, it also sucks for you.
@cliff explains the most common problems – and their workarounds – with measuring #pagespeed with consent managers: https://www.speedcurve.com/blog/web-performance-cookie-consent/
I've cleaned up a lot of crap from my #Wordpress (https://www.eclecticpassions.net) in the past few days and I'm quite happy it's snappier and getting a much better score to when I first started out with no knowledge about all the #siteoptimization and the best practices for running a fast website. I will try to put all my tips together into a blog post soon. #Gtmetrix #pagespeed
I've lost track of how many times I've struggled with slow travel sites on my phone as I've checked for airline updates or hotel check-in details. (Jet lag doesn't help!)
Unfortunately, of the ten EU/UK travel sites we track, only one site – Trivago – starts to render within 2s and has a Largest Contentful Paint time within 2.5s.
👉 Explore Page Speed Benchmarks: https://app.speedcurve.com/benchmarks/europe/travel/slow/largest-contentful-paint/
👉 Track your site's speed: https://www.speedcurve.com/signup/
How well do you know common #webperf metrics? For example, did you know...
💡 INP is only available in RUM and not supported in Safari?
💡 LCP is not reliable in SPAs?
💡 User Timing is available across all browsers?
Test your knowledge: https://www.speedcurve.com/web-performance-guide/glossary-of-web-performance-metrics/
Page Speed Benchmarks tracks top travel sites in the EU and UK, including Trivago, Airbnb, TripAdvisor, Priceline, Skyscanner, and more.
While it was great to see our friends at Trivago with a 2.5s LCP time, many other sites struggled with:
🐌 Slow/blocking JS & CSS
🐌 Non-performant custom fonts
🐌 Excessive JS before the LCP element
https://app.speedcurve.com/benchmarks/europe/travel/slow/largest-contentful-paint/
The latest issue of Speed Matters is out! If you're not a subscriber yet, you can read it in its entirety here (and if you like it, sign up to receive next month's edition in your inbox).
We ❤️ this new open‑source Magento module from @jesperingels and the team at Bluebird Day! Integrate real user monitoring into your Magento project in minutes:
https://github.com/bluebirdday/speedcurve-magento
🚀 Enter SpeedCurve RUM ID & the script loads automatically
🚀 Insert RUM script only after the visitor accepts cookies (privacy‑proof!)
🚀 Track Core Web Vitals & other RUM metrics
🚀 Measure impact of #webperf on your business
🚀 Fight regressions with budgets & alerts
🚀 Get diagnostics
Here's why you MUST rely on your own user data to set #pagespeed and #ux goals. Google's LCP threshold is 2.5s. Yet for this site, conversion rate peaks at 6% at 1.1s. By 2.5s, this site is on the #webperf plateau and the conversion rate has dipped way down to just 2.5%.
In other words, aiming for Google's 2.5s threshold would NOT help this site improve their business. The real goal is 1.1s.
Learn why correlation charts are your friend: https://www.speedcurve.com/blog/site-speed-business-correlation/
Hey friends! I'm so stoked to be talking about the intersection of site speed, user experience, and business outcomes at @webexpo in Prague later this month!
Use the promo code TAMMY25 to get a 15% discount on your pass.
Info + tickets: https://webexpo.net/prague2025/sessions/connecting-the-dots-between-site-speed-user-happiness-business-success/
Is CrUX the same as RUM? We get this question a lot!
This short article breaks down the differences. (The biggest distinction: CrUX is only collected from Chrome browsers, so you could be missing a lot of traffic.)
https://support.speedcurve.com/docs/speedcurve-rum-vs-crux-data
