Website performance monitoring best practices -
It's generally a good enough indicator of what search engines such as Google might evaluate when ranking your site. Even if your performance is great, you want to ensure your site is accessible, follows best practices, and has good SEO scores.
This not only helps search engines understand the content on your site better, but directly affects how people interact with your site.
Example Lighthouse report. The Lighthouse Performance score is a weighted average of all performance audits. It's a number between 0 and , where higher means a better score. You can read more on how Lighthouse weights these audits here. The Lighthouse Performance score is a weighted average of all accessibility audits on your site.
It's also a number between 0 and , where higher means a better score. To see the full list of accessibility audits, and how Lighthouse weights these audits, here is an article on the topic.
The Lighthouse SEO score tells you how well search engines can understand your content. It's a weighted average of all SEO audits on your site.
There's plenty more audits that fall within the scope of this score. To read the full list, check out this article. The Lighthouse Best Practices score tells you about the code health of your web page. As with all other scores, it also shows you opportunities to improve the health of your site.
It's a weighted average, in which 0 is the lowest score and the highest better , and includes various technical audits such as:.
To read all audits included in this score, read this article by the Lighthouse team. The Lighthouse PWA score tells you if your site is compatible with the requirements for a Progressive Web App. At a high level, that means it should be fast, reliable and installable.
You can find the rest of the audits for this score in this article. When you click a link, your web browser starts a multi-step process to load all synchronous resources required for this web page. The longer this process takes, the longer you must wait to interact with a website.
A simplified page load time process. How long this process takes is what the Page Load Time measures. Page load time measures the amount of time it takes for a complete web page to show up on your screen. It's measured from the point a user initiates it - such as clicking on a link or typing the website URL - to when the page has fully loaded in the browser.
For more details, see our guide on Page Load Time. Various page load time measurements in Cronitor. For example, when you type google.
com your browser must first resolve that domain name into an IP address the server which will serve the page HTML for our request. The duration of this process is what this metric measures.
Once the browser has resolved the domain name into an IP address, it now needs to connect to the web server. The Server Connection Time measures how long it took to establish a TCP connection to the server. Transport Layer Security TLS is an encryption protocol designed to secure communications over the Internet.
During a TLS handshake, the two sides exchange messages to acknowledge and verify each other, establish which encryption algorithm will be used, and agree on session keys.
This process is a foundational part of how HTTPS works, and is vital to ensure privacy and security while you browse the web. Various network timings in Cronitor. Time to First Byte TTFB is how long it takes from when a browser requests a page to when it receives the first byte of information from the server.
It's a good metric to approximate the performance of a backend server, from the perspective of the end user. Inspecting the median TTFB for a website. If you measure the response time of your server from the server itself, you would only account for the time your server spent processing the request.
In other words, the journey from your server to the user's browser would be unaccounted for. For example, say you are located in California and your server is located in an AWS data center in North Virginia.
You measure your TTFB and you're happy to see a result of 25 ms. However, when a user from the EU or Australia opens your website, the TTFB is now ms. The conclusion here might be that no matter if you scale your servers vertically or horizontally, the real issue is that the server is too far away from the end users.
So you probably want to deploy servers in those regions too - assuming it makes sense for your product or business. HTML Download Time measures the time it takes to download the initial document for a website.
This document normally references various other resources images, stylesheets, scripts which are queued for download too. The Render Time measures how long it takes for the browser to paint the HTML document after downloading and parsing. This can vary a lot as it highly depends on the complexity of your site and the performance capabilities of the users device eg.
some mobile devices can take longer to render a complex website vs a powerful development machine. The Request Count refers to the number of resources required to load a web page. The impact of this metric on end user experience is highly dependent on other factors too.
For example, if you have a website which requires 50 requests to load but most of them are small resources which do not block rendering, it may not negatively impact how the user interacts with the site. On the other hand, if you have a web page which requires a single request to load, but that request takes 10 seconds to complete and loads several megabytes of data, it's likely the user will abandon the site before the request completes.
As with most other metrics, it's useful to measure request count in relation to the other characteristics of your web page. Transfer Size measures the total size of all assets transferred during page load. This includes every request for HTML, images, stylesheets, scripts, and JSON documents.
CSS Transfer Size measures the total size of all stylesheet CSS assets transferred during page load. The Javascript Transfer Size measures the total size of all Javascript JS assets transferred during page load.
For many modern web apps, this asset type has become a considerable chunk of the page load process. Large Javascript files may not only lead to longer download times, but also increase the time the browser needs to parse and render the site.
This can negatively affect how long it takes for the site to become interactive too. In order to improve load times, many applications now rely on techniques such as tree shaking automatically remove unused code , asset bundling package related assets together and code splitting split files and only load as required for specific pages.
Some popular tools for these purposes are webpack and esbuild. The Javascript Error Count tells you how many runtime errors the browser encountered while loading your web page. While on its own it's not enough to troubleshoot and debug errors, it's very helpful to track this metric in aggregate to ensure no deployments or configuration changes cause unintended issues during runtime.
This metric is most useful when monitored in conjunction with error tracking software. That way, if the total error count goes beyond your tolerance threshold, your team would be able to troubleshoot the issue by inspecting the reported stack traces, and breadcrumbs to understand why the issue happened and fix it early.
A faster website not only helps deliver a great user experience but can also significantly boost your conversion rate and sales. Monitoring your website's performance over time is more important than ever in order to prevent unintended consequences when deploying bug fixes, adding third party scripts and making improvements to the site.
That way you can make changes with confidence that you're not breaking stuff without realizing, and ensuring you always deliver a great experience on your website. All Guides. On this page. Why website performance matters Many companies have found that a fast, responsive website can significantly boost your conversion rate and sales.
How to interpret website performance metrics I recommend a top down approach to website performance monitoring. For example: Start by measuring your Core Web Vitals.
The combining of these approaches provides a comprehensive understanding of both technical operations and user satisfaction. Metrics are often summarised through averages, providing a convenient overview. However, relying solely on averages can be deceptive. Diving deeper into individual user experiences and percentages reveals issues that might be missed at first glance.
Consider the scenario where the average load time is 2. However, beneath this average, a subset of users experiences slower loading times.
This disparity might indicate compatibility issues with specific browsers or devices. Monitoring beyond averages is essential to detect such anomalies and ensure a consistently positive user experience. Historical data, spanning previous website performance tracking and iterations, is a treasure trove of insights.
By examining performance trends, businesses can identify drops in performance, establish baselines and derive actionable intelligence. Comparative analysis of monitoring data across distinct time frames unveils performance trends and patterns.
These patterns can be correlated with metrics such as bounce rates, session durations, and user satisfaction indices. Historical data empowers businesses to benchmark internal performance over time, facilitating early intervention in response to performance drops.
Effective website monitoring is proactive, not reactive. Setting up alerts for potential issues is instrumental in swift resolution. However, inundating team members with alerts can lead to complacency. Streamlining alerts ensures that pertinent information reaches the relevant stakeholders promptly, minimising downtime and disruptions.
Alerts should not merely serve as notifications but also as actionable insights. Including detailed information and links that aid in diagnosing and resolving issues expeditiously is essential. This streamlined approach ensures that website monitoring remains a robust shield against potential disruptions.
Using WatchMyCompetitor WMC for your website monitoring can give you a significant competitive advantage. This intelligence can help you identify new opportunities, stay ahead of the competition and make better strategic decisions for your own business. Custom alerts : You can set up custom alerts to be notified when your competitors make changes to their websites.
By applying the 7 website monitoring best practices as mentioned and the relevant industry tools, businesses can get real-time insights into their website performance and make informed decisions about how to improve it. Website monitoring is intertwined with SEO success.
Search engines prioritise websites that deliver exceptional user experiences, rapid load times and seamless navigation. By proactively identifying and addressing issues through monitoring, businesses create a virtuous cycle of positive user experiences, translating into improved SEO rankings.
The frequency of monitoring checks hinges on factors such as industry dynamics, website traffic and business goals. For comprehensive insights and timely issue detection, weekly monitoring checks are recommended. High-traffic websites might necessitate daily monitoring to uphold performance standards.
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