Note: v1.3 not available on all Fastly nodes at the edge. This is why the 1.3 percentage is so low.
Top 5 browsers on TLS 1.0:
• Android Browser 4.0 - 46.13%
• Internet Explorer 11.0 - 15.03%
• Safari 13.0.1 - 4.01%
• Internet Explorer 9.0 - 3.59%
• Internet Explorer 10.0 - 3.48%
A couple of interesting points to mention about this:
Safari (in-app) stats doubled in November (5.11%) compared to October (2.23%). The same for Android Webview, November (3.23%) vs October (1.90%).
My guess would be all the social links through to the Register to Vote page.
Also, 61,372,265 "users" is the most we've ever seen over a month since GOV.UK was launched back in February 2012. Digital Transformation win indeed!
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‡ Note: since December 2019 GOV.UK requires explicit opt-in for tracking which introduces bias. This is especially true for mobile devices, since the cookie banner takes up more screen estate and is more likely to be accepted.
‡ Note: since December 2019 GOV.UK requires explicit opt-in for tracking which introduces bias. This is especially true for mobile devices, since the cookie banner takes up more screen estate and is more likely to be accepted.
Users - GA definition based on cookies:
- Safari - 42.81%
- Chrome - 39.79%
- Edge - 7.67%
- Samsung Internet - 4.86%
- Firefox - 1.29%
- Safari (in-app) - 1.24%
- Android Webview - 1.22%
- Internet Explorer - 0.57%
- Amazon Silk - 0.27%
‡ Note: since December 2019 GOV.UK requires explicit opt-in for tracking which introduces bias. This is especially true for mobile devices, since the cookie banner takes up more screen estate and is more likely to be accepted.
Users - GA definition based on cookies:
- Safari - 45.09%
- Chrome - 37.98%
- Edge - 7.04%
- Samsung Internet - 4.81%
- Safari (in-app) - 1.39%
- Android Webview - 1.33%
- Firefox - 1.27%
- Internet Explorer - 0.59%
- Amazon Silk - 0.25%
🧵As I mentioned last week GOV.UK removed jQuery as a dependency for all frontend apps, meaning 32 KB of minified & compressed JS was removed. So let's see what difference this has made for users by examining our RUM data. Thread will mainly focus on JS CPU time.
A good place to start is users on low spec devices. The Universal Credit sign-in page shows a lot of this traffic, as seen in the images below.
We see many of our key metrics trending down (for p75) after the change, including frontend time, First CPU Idle, JS Long Tasks