Insights

Google Lighthouse Performance

The Google Lighthouse performance score is a metric that measures the speed and performance of a website. It’s an overall score that ranges from 0 to 100 and is generated based on a number of different performance metrics, such as the time it takes for a website to load, the time it takes for a website to become interactive, the size of the resources used by the website, and other factors that impact the user experience.

A high performance score in Google Lighthouse indicates that a website is fast and responsive, which can lead to a better user experience and improved search engine rankings. On the other hand, a low performance score can indicate that a website is slow and unresponsive, and can negatively impact the user experience.

Mobile Performance
33%
Desktop Performance
68%

Core Web Vitals

Core Web Vitals are a set of specific factors that Google considers important in a webpage’s overall user experience. Core Web Vitals are made up of three specific page speed and user interaction measurements: Largest Contentful PaintFirst Input Delay, and Cumulative Layout Shift.

VitalMobileDesktopTarget
Largest Contentful Paint14.1 s3.0 s< 2.5 s
First Input Delay1,140 ms230 ms< 100ms
Cumulative Layout Shift0.0150.008 0.1

Opportunities

Optimise images

By optimising the following images, roughly 825 KB could be removed from the transfer size, about 22%. This would reduce the CO2 generated per page load from 0.95g grams to 0.74 grams.

Images should be optimised for the web for several reasons:

  1. Reduced file size: Optimizing images can result in a smaller file size, which can help to reduce the amount of data that needs to be downloaded. This can lead to faster page load times and improved performance.
  2. Improved user experience: Optimising images can help to improve the overall user experience, as pages with optimised images load faster and are more responsive.
  3. Lower emissions: Optimising images can help to reduce the emissions associated with data transfer, as less data needs to be transmitted over the network.
  4. Better accessibility: Optimising images can make them more accessible to users with slower connections or limited data plans.
AIA-wide+copy.png 881 KB 24% 637 KB

Subset large font files

Fonts should be subsetted to reduce the file size, improve performance, and reduce emissions. Subsetting a font involves removing any characters that are not needed for a particular use case, resulting in a smaller file size and faster page load times. Some specific reasons why fonts should be subsetted include:

  1. Reduced file size: Subsetting a font removes any unused characters, which can result in a smaller file size. This can help to reduce the amount of data that needs to be downloaded, leading to faster page load times and lower emissions.
  2. Improved performance: Fonts that are subsetted are faster to load and render than fonts that are not subsetted. This can help to improve the overall performance of a website, leading to a better user experience.

Overall, subsetting fonts is a good practice for anyone looking to optimize the performance and reduce the emissions of a website of a website.

Typekit: l ~19 KB ~1 KB
Typekit: l ~19 KB ~1,014 B
Typekit: l ~19 KB ~946 B

Remove third party font files

Font files should be loaded from the same hosting as the website because

  1. Increased loading time: Third-party sub-resources, such as scripts, fonts, or images, need to be downloaded from a separate server before they can be displayed on the website. This can increase the overall loading time of the page, leading to a slower user experience.
  2. Dependence on external servers: The loading of third-party subresources is dependent on the availability and performance of the external servers that host them. If these servers are slow or unavailable, it can result in slow page loading times or even errors.
  3. Increased risk of security threats: Third-party subresources can introduce security risks to a website, as they can contain malicious code or be used to track user activity.
HostFont
use.typekit.netl
wtp-2020.squarespace.comRoag-Regular.woff
use.typekit.netl
wtp-2020.squarespace.comRoag-Bold.woff
wtp-2020.squarespace.comRoag-Medium.woff
use.typekit.netl
use.typekit.netl
use.typekit.netl
wtp-2020.squarespace.comRoag-Regular.ttf
wtp-2020.squarespace.comRoag-Bold.woff2
wtp-2020.squarespace.comRoag-Medium.ttf
wtp-2020.squarespace.comRoag-Bold.ttf

First Contentful Paint

First Contentful Paint (FCP) is a performance metric that measures the time it takes for the first piece of content to be rendered on the screen when a user navigates to a web page. This content can be any visual element on the page, such as text, images, or a background color.

FCP is important because it directly affects the perceived speed of a website, and can impact user engagement and conversion rates. A faster FCP can lead to a better user experience and improved performance.

Here are a few ways you can optimise your FCP:

  1. Optimise images: Large, unoptimised images can slow down a page’s FCP. You can optimise images by compressing them, reducing their dimensions, and choosing the right format for each image.
  2. Minimise HTTP requests: Each resource requested by a web page, such as images, scripts, and stylesheets, requires a separate HTTP request. Minimising the number of HTTP requests can help to reduce the time it takes for a page to render.
  3. Prioritize critical content: Prioritizing critical content, such as above-the-fold content, can help to ensure that users see something on the screen quickly, even if the rest of the page is still loading.
  4. Reduce server response time: A slow server response time can significantly impact FCP. Optimizing server-side code and server settings can help to reduce response times and improve FCP.
  5. Use a performance monitoring tool: There are many tools available that can help you monitor your website’s performance, including FCP. These tools can help you identify performance issues and track your progress as you implement optimizations.
MobileDesktop
Score63%98%
Timing2.6 s0.7 s

Largest Contentful Paint

MobileDesktop
Score0%34%
Timing14.1 s3.0 s

Total Blocking Time

MobileDesktop
Score2%66%
Timing3,080 ms260 ms

Speed Index

MobileDesktop
Score7%46%
Timing10.6 s2.4 s

Time to Interactive

MobileDesktop
Score1%51%
Timing21.6 s4.4 s

Max Potential First Input Delay

MobileDesktop
Score0%57%
Timing1,140 ms230 ms

First Meaningful Paint

MobileDesktop
Score10%57%
Timing6.8 s1.5 s

Eliminate render-blocking resources

MobileDesktop
Score58%93%
InsightPotential savings of 600 msPotential savings of 80 ms

Properly size images

MobileDesktop
Score87%83%
InsightPotential savings of 51 KiBPotential savings of 269 KiB

Reduce unused CSS

MobileDesktop
Score43%90%
InsightPotential savings of 362 KiBPotential savings of 367 KiB

Reduce unused JavaScript

MobileDesktop
Score0%47%
InsightPotential savings of 1,049 KiBPotential savings of 1,167 KiB

Serve images in next-gen formats

MobileDesktop
Score41%62%
InsightPotential savings of 694 KiBPotential savings of 1,033 KiB

Reduce initial server response time

MobileDesktop
GradeFailFail
InsightRoot document took 1,210 msRoot document took 1,090 ms

Avoid enormous network payloads

MobileDesktop
Score76%60%
InsightTotal size was 3,168 KiBTotal size was 3,684 KiB

Serve static assets with an efficient cache policy

MobileDesktop
Score13%5%
Insight23 resources found25 resources found

JavaScript execution time

MobileDesktop
Score21%94%
Timing6.5 s1.0 s

Minimize main-thread work

MobileDesktop
Score3%84%
Timing10.6 s2.3 s

Ensure text remains visible during webfont load

MobileDesktop
GradeFailFail

Reduce the impact of third-party code

MobileDesktop
GradeFailFail
InsightThird-party code blocked the main thread for 3,930 msThird-party code blocked the main thread for 360 ms

Image elements do not have explicit width and height

MobileDesktop
GradeFailFail