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
34%
Desktop Performance
64%

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.

Pass or fail?

MobileFail
DesktopFail

CWV Breakdown

VitalMobileDesktopTarget
Largest Contentful Paint8.7 s5.5 s< 2.5 s
First Input Delay510 ms110 ms< 100ms
Cumulative Layout Shift00.008 0.1

Tracking scripts

All the tracking scripts on the site generated ~1 MB of data

A tracking script is a code snippet designed to track the flow of visitors who visit a website. Media, advertising, and analytics organisations will provide a script to add to your website that sends data directly to their servers. This data can then be used to measure goals and conversions, analyse user behaviour, and influence advertising campaigns.

Consider how much of this data you actually need and use? How often do you review the analytics data, and does this inform genuine change? Are you actively running social media campaigns? Consider pausing or removing tracking scripts that aren’t being actively used.

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assets.adobedtm.com 4 182 KB
google-analytics.com 2 21 KB
googletagmanager.com 7 636 KB
cm.everesttech.net 1 541 B
stats.g.doubleclick.net 2 575 B
googleads.g.doubleclick.net 5 11 KB
everestjs.net 4 31 KB
google.com 6 4 KB
google.com.au 5 3 KB
lasteventf-tm.everesttech.net 1 369 B
connect.facebook.net 3 83 KB
analytics.tiktok.com 5 142 KB
analytics.google.com 1 0 B
snap.licdn.com 1 17 KB
redditstatic.com 2 14 KB
sc-static.net 2 41 KB
12969858.fls.doubleclick.net 2 2 KB
ad.doubleclick.net 1 3 KB
alb.reddit.com 1 846 B
px.ads.linkedin.com 5 6 KB
sync-tm.everesttech.net 13 7 KB
tr.snapchat.com 6 4 KB
ct.pinterest.com 5 4 KB
facebook.com 2 898 B
linkedin.com 1 1 KB
pixel.tapad.com 2 2 KB
pixel.everesttech.net 5 3 KB
rtd-tm.everesttech.net 2 1 KB
universityofcanberra.sc.omtrdc.net 1 3 KB
cm.g.doubleclick.net 1 520 B
image2.pubmatic.com 1 613 B
sync.search.spotxchange.com 1 0 B

Opportunities

Assets that need text compression enabled50 KB0.013g

By enabling text compression on 2 items, , roughly 50.1 KB could be removed from the page load.

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/ 61 KB 49 KB
s96557421854859 2 KB 1 KB
Optimise images1 MB0.37g

By optimising the following images, roughly 1 MB could be removed from the transfer size, about 34%. This would reduce the CO2 generated per page load from 1.08g grams to 0.71 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.
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study-a-certificate-in-education-learning-support-LSA-course-online.jpg 945 KB 23% 825 KB
UOC0801_UC-Homepage-banner_445x445.gif 761 KB 18% 517 KB
diversity.png 130 KB 3% 15 KB
trust.png 130 KB 3% 11 KB
innovation.png 121 KB 3% 14 KB
future.png 81 KB 2% 25 KB
uc_logo_inline.png 46 KB 1% 26 KB
Replace icon font files20 KB0.01g

Font icons can have a negative impact on performance and emissions because they can increase the size of the page and the amount of data that needs to be downloaded. Some specific reasons why font icons can be bad for performance and emissions include:

  1. Increased file size: Font icons are typically included as part of a web font, which can be a large file that needs to be downloaded. This can increase the overall size of the page, leading to slower load times and higher emissions.
  2. Inefficient rendering: Web fonts are sometimes loaded and rendered inefficiently, which can result in slow performance and higher emissions.
  3. Unused icons: Font icons often include a large number of icons that may not be used on a particular page, increasing the file size and leading to inefficient use of resources.

While icon fonts are still widely used on the web, and they can be a useful tool for adding icons to a website. it is a dated practice when there are better options such as SVG icons, which can be more efficient and have a lower impact on performance and emissions.

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pro-fa-solid-900-5.0.0.woff2 20 KB
Replace inlined font files

There are 4 inlined fonts that should converted to subresources.

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.
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fonts.gstatic.com S6uyw4BMUTPHjx4wXiWtFCc.woff2
fonts.gstatic.com S6u9w4BMUTPHh6UVSwiPGQ3q5d0.woff2
fonts.gstatic.com S6u_w4BMUTPHjxsI5wq_Gwftx9897g.woff2
ka-p.fontawesome.com pro-fa-solid-900-5.0.0.woff2
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
Score44%95%
Timing3.2 s0.8 s
Largest Contentful Paint

Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric

MobileDesktop
Score1%6%
Timing8.7 s5.5 s
Total Blocking Time

Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric.

MobileDesktop
Score6%91%
Timing2,240 ms140 ms
Speed Index

Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric.

MobileDesktop
Score23%6%
Timing7.9 s4.4 s
Time to Interactive

Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric.

MobileDesktop
Score2%42%
Timing20.8 s4.9 s
Max Potential First Input Delay

The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric.

MobileDesktop
Score8%94%
Timing510 ms110 ms
First Meaningful Paint

First Meaningful Paint measures when the primary content of a page is visible. Learn more about the First Meaningful Paint metric.

MobileDesktop
Score62%95%
Timing3.5 s0.8 s