Did you know that, according to Google’s measurements, 53 per cent of mobile users close a page immediately if it takes longer than 3 seconds to load? You’ve probably experienced that frustrating feeling yourself when Google Search Console flags red errors in the Web Vitals metrics, whilst the tests bombard you with incomprehensible technical jargon. It’s hard to tell whether your hosting is to blame for the slowness, or whether unnecessary elements left in your code are causing the problem. It’s perfectly understandable if you’d rather focus on your business operations than on complicated abbreviations.

In this post, we’ll help you finally make sense of the data. Once you’ve understood how to interpret the GTmetrix analysis, you’ll know exactly what each metric means in practice and how to achieve those coveted green scores. You’ll learn about the technical background of the metrics and how to precisely optimise your website’s loading speed, so you’ll never lose customers again due to slow response times. Here at aWh, we have over 10 years’ experience behind us, so we know exactly which settings deliver the fastest results.

We’ll guide you through the most important technical steps, from image compression to server-side settings, which will not only improve the user experience but also help you climb higher in Google’s search results based on the latest ranking criteria.

An introduction to GTmetrix: Why is website speed so important?

GTmetrix is one of the most popular diagnostic tools, which analyses website performance based on Google’s Lighthouse engine. Understanding GTmetrix analysis is crucial for any website owner who doesn’t want to fall behind in the search engine optimisation race. Since 2021, Google has officially treated page experience as a ranking factor, which means that slow loading times result in a direct disadvantage in search results. Website speed optimisation (WPO) is not merely a technical gimmick, but the cornerstone of business success.

User experience (UX) and revenue go hand in hand. According to a 2023 industry analysis, every second of delay in page loading can cause an average 7 per cent drop in the conversion rate. If a Hungarian online shop generates €2,700 in turnover per day, a delay of just one second could mean a loss of tens of thousands of euros per year. GTmetrix’s features available with free registration, such as the use of test servers in Frankfurt or London, provide a more accurate picture of the actual experience of visitors in Hungary than the default Canadian setting.

A stable technological infrastructure is essential for achieving outstanding performance. Server response time (TTFB) directly influences all other metrics. For this reason, it is worth hosting your website in a modern, NVMe-based VPS environment or on optimised hosting, so that software fine-tuning can deliver truly impressive results.

What metrics will Google be looking at in 2026?

The search giant is focusing on the Core Web Vitals metrics. LCP (Largest Contentful Paint) and INP (Interaction to Next Paint) determine how fast a visitor perceives a page to be. As more than 58 per cent of internet traffic in Hungary now comes from mobile devices, testing the mobile view is a top priority. ‘Fully Loaded Time’ is now nothing more than a vanity metric. It matters far more when the page becomes interactive for the user than when the last invisible tracking code or marketing script finishes loading.

How do we run a reliable test?

The basis for an accurate measurement is selecting the appropriate test environment. For a Hungarian audience, the Vancouver server will produce inaccurate results due to the great physical distance and latency. Always use London or Frankfurt as the starting point for your settings. It is advisable to limit the connection speed to the ‘Broadband’ or ‘LTE’ profile so as not to measure an ideal, laboratory-like environment. A single measurement rarely provides an accurate picture. Run the test three times in succession at different times, and use the average of these results as the basis for drawing up your development plan. This will help filter out measurement errors caused by network fluctuations.

When interpreting the GTmetrix analysis, you’ll see that the system makes a whole host of technical recommendations. The order in which these appear is no coincidence: the changes with the greatest impact are listed first. In the following sections, we’ll go through in detail what each abbreviation means and how you can improve them step by step.

Understanding the GTmetrix Grade and Core Web Vitals

When you open the GTmetrix report, the first thing you’ll see is a letter grade (from A to F) and two percentage figures. When interpreting the GTmetrix analysis, it’s important to note that this grade isn’t based on a single measurement. The final Grade is based on two pillars: the Performance score accounts for 70 per cent of the total score, whilst the Structure score makes up the remaining 30 per cent. This weighting reflects the fact that, for both Google and users, actual speed is the most important factor, not just how ‘by the book’ our code is on paper.

The measurements are based on Google Lighthouse technology, supplemented by GTmetrix’s own server-side tests. If a page receives an ‘A’ rating, it means that both its technical structure and its loading speed are among the best in the industry. However, a ‘B’ or ‘C’ rating isn’t necessarily a disaster if the user experience is otherwise seamless. The key lies in the details – specifically, the Core Web Vitals metrics – which pinpoint exactly where the website’s performance is falling short.

Performance Score vs. Structure Score

It often happens that a website receives a proud ‘A’ rating, yet visitors still find it slow. This is possible because the Structure Score merely assesses whether you have followed best development practices. Examples include compressing CSS files or resizing images appropriately. If your code is perfect but your server’s response time is slow, your Structure score will remain high, but the page will still feel sluggish.

To improve your Performance Score, you often don’t even need to touch the code. If the code is optimised but the score is low, the problem lies with the infrastructure. On a weaker, overloaded shared hosting plan, no amount of tweaking will help – physical limitations will cap the speed. In such cases, a modern NVMe-based web hosting plan or a VPS with dedicated resources will result in an immediate improvement in performance metrics without the need for any coding changes.

Core Web Vitals thresholds

When interpreting a GTmetrix analysis, you should focus on three key metrics, which Google has also treated as ranking factors since 2021. The first is Largest Contentful Paint (LCP). LCP is the moment when the main content becomes readable to the user. To achieve a ‘green’ rating, this value must not exceed 2.5 seconds. If it exceeds 4 seconds, your page will receive a ‘red’ rating, which could result in a significant loss of visitors.

• Total Blocking Time (TBT): This measures the time during which JavaScript code blocks the main thread, preventing interactivity. The target is a value of less than 200 ms.
• Cumulative Layout Shift (CLS): Measures visual stability. You’ve no doubt experienced a situation where you wanted to click on a button, but the content shifted because an image was loading. A value below 0.1 is considered good.
• Yellow zone: If your LCP falls between 2.5 and 4 seconds, or your CLS is between 0.1 and 0.25, it’s time to start worrying and optimising before your SEO rankings suffer.

The foundation of stability and speed is the right server environment. If you’re unsure about your current system, it’s worth considering renting a reliable VPS server, where the resources are dedicated solely to your website.

The secrets of the Waterfall Chart: How can we identify bottlenecks?

When interpreting a GTmetrix analysis, the Waterfall Chart provides the most detailed picture of how a website functions. This chart shows, in chronological order from top to bottom, the sequence in which the browser retrieves elements from the server. The length of the horizontal bars indicates the time taken by each process. If a bar is noticeably long, this indicates a bottleneck that is slowing down the site.

The colours in the diagram provide an accurate diagnosis of the technical status. Turquoise indicates DNS resolution, purple indicates the SSL handshake, grey indicates the connection, and green indicates the latency. If the DNS resolution or SSL process takes several hundred microseconds, this indicates a network or configuration issue. Too many HTTP requests place an unnecessary load on the server. Every single request – be it for a tiny icon or a font – adds extra milliseconds to the total load time. The aim is to keep the number of requests below 50–80.

Bottlenecks are often caused by oversized images or poorly timed scripts. On a waterfall chart, these can be identified by the long blue (download) bars. If an image takes longer than 1–2 seconds to download, it requires immediate optimisation.

Analysis of TTFB (Time to First Byte)

TTFB is the time it takes for the server to send the first data packet to the browser. This is the most important server-side metric, as until this happens, the browser waits idly. On the waterfall chart, the dark green ‘Waiting’ bar indicates this period. If this value exceeds 500 ms, the server is slow or overloaded. TTFB directly affects the user experience as well as Google’s Core Web Vitals metrics. By using fast NVMe hosting, this waiting time can often be reduced to under 100 ms, as data access is orders of magnitude faster than with traditional solutions.

Order in which resources are loaded

The JS and CSS files shown at the top of the diagram often block rendering. These so-called ‘render-blocking’ resources prevent the page from being displayed until they have finished loading. Interpreting the GTmetrix analysis helps you identify which files are slowing down the visual loading process. Minifying CSS and JS files dramatically reduces these load times. Image optimisation and the use of lazy loading also have an impact on the test results: image load times only appear in the list when the user actually scrolls to that section, so the initial load remains lightning-fast.

• Check the number of concurrent requests on the chart.
• Look out for 404 errors, which are highlighted in red to indicate wasted time.
• Be aware of the slowdown caused by external scripts (e.g. Facebook Pixel, Google Ads).

Common error messages and their solutions in the GTmetrix report

The GTmetrix report interface often looks daunting due to the abundance of red flags and technical data. Fortunately, most of the issues can be traced back to a few fundamental shortcomings. When interpreting a GTmetrix analysis, the first and most important point is ‘Reduce Initial Server Response Time’. If this value is above 600 ms, the server response time is slow. This may be caused by inadequate resource allocation or the absence of a server-side cache. aWh’s NVMe SSD-based infrastructure significantly improves this metric compared to traditional HDD drives.

The next critical issue is ‘Eliminate Render-Blocking Resources’. This error message indicates that the browser halts the rendering of the page until the CSS and JavaScript files have finished loading. The solution is to separate critical CSS and defer the loading of scripts. This prevents visitors from staring at a blank white screen for several seconds before the content appears.

Many people make the mistake of uploading 4–5 MB photos to their website straight from their camera. The ‘Properly Size Images’ warning refers precisely to this. No single image should be larger than 200–300 KB in a web environment. Use the WebP format instead of the old JPEG. The ‘Avoid Enormous Network Payloads’ message appears when the total size of the page exceeds 2 MB. Aim for minimalism, as every unnecessary byte slows down loading times for customers using mobile data.

WordPress-specific optimisation tips

On WordPress sites, too many or poorly optimised plugins can drastically impair performance. Every single active plugin generates additional requests to the server. Use reliable caching plugins such as LiteSpeed Cache or WP Rocket. These tools automate file compression and caching based on GTmetrix’s recommendations. Once you’ve interpreted your GTmetrix analysis, it’s worth deleting any unnecessary plugins. Read more in our detailed guide on speeding up WordPress.

Advanced techniques: CDN and Gzip/Brotli

The use of a Content Delivery Network (CDN) is essential for global reach. A CDN stores copies of your website on remote servers, thereby serving static files from the location closest to the visitor. Server-side compression, such as the more modern Brotli algorithm, can reduce traffic by up to 70 per cent. On a modern cPanel hosting interface, these features can be enabled with just a few clicks. These settings will immediately improve your GTmetrix scores and the user experience.

Choose lightning-fast NVMe hosting for your website!

When code isn’t enough: The role of the hosting provider in speed

A common mistake made when optimising a website is that developers focus exclusively on software fine-tuning, code compression and image resizing. Whilst these are essential steps, an analysis using GTmetrix can quickly reveal that the root of the problems lies deeper, in the server room. If the Time to First Byte (TTFB) value is high, the page will load slowly no matter how perfect the front-end is, because the browser has to wait too long for the first data packet.

Hardware performance fundamentally determines how quickly PHP code runs or how long it takes for the database to respond. aWh’s infrastructure is built on modern AMD Epyc processors, which handle requests on significantly more threads and at a higher clock speed than traditional servers. This technological advantage is particularly evident on complex WordPress sites that use many plugins. And the use of NVMe SSDs is not merely a marketing gimmick. These storage devices enable data transfer speeds five times faster than older SSDs, which drastically reduces IOPS bottlenecks.

Many people stick with shared hosting even when their website’s traffic has outgrown it. A shared environment is cost-effective, but if neighbouring websites consume too many resources, your site’s speed will suffer as a result. An automated, optimised server environment and server-side caching (such as Redis or Memcached) are now standard requirements for professional hosting.

Why does the server’s location matter?

There is a direct correlation between physical distance and latency, i.e. the ping value. If the majority of your visitors come from Hungary, every extra kilometre that data has to travel to a server centre abroad adds valuable milliseconds to the loading time. Domain registration in Hungary and servers located in a European data centre close to your visitors ensure fast access.

aWh’s more than 10 years’ experience underpins its stable infrastructure, guaranteeing that network routes are optimised and redundancy is maintained at all times. With a nearby server, the network latency shown in the GTmetrix analysis is reduced to a minimum, resulting in an immediate improvement in the user experience.

Next steps after the assessment

GTmetrix data isn’t a set of static figures, but part of an ongoing process. After the initial measurement, the first step is to set up scheduled monitoring to see how changes to content affect speed. If the data shows that shared resources are no longer delivering stable performance, it’s time to move up a tier. Based on the measurements, it’s possible to clearly identify the point at which it’s worth switching to a KVM VPS to benefit from guaranteed CPU time and memory.

Don’t settle for mediocre results. If your site still feels slow even after technical optimisation, it’s time to upgrade your hardware. Seek expert help with the migration, or switch to lightning-fast NVMe hosting today to ensure your website performs at its very best!

Get the most out of your website’s performance

When interpreting a successful GTmetrix analysis, you will have seen that a detailed examination of the Core Web Vitals metrics and the Waterfall Chart is essential for uncovering hidden technical issues. However, code-level optimisation and the removal of unnecessary scripts are only one side of the coin. Response times and loading speeds ultimately always depend on server-side resources. aWh’s more than 10 years of professional experience guarantees that your website’s technical foundations will be rock-solid under all circumstances.

A guaranteed 99.9% uptime and the use of state-of-the-art AMD Epyc processors provide the raw power you need to easily outperform your competitors in search engine results. The modern NVMe-based infrastructure drastically reduces server response times, which directly improves the user experience and conversion rates. Don’t settle for slow loading times when technology already allows for instant display.

Switch to lightning-fast, NVMe-based aWh hosting for better GTmetrix scores!

Start optimising today and take your website’s speed and reliability to the next level!

Frequently Asked Questions about GTmetrix analysis

Why do I get different results on GTmetrix and PageSpeed Insights?

The two tools use different test locations, hardware profiles and weighting algorithms when taking measurements. By default, GTmetrix measures from a server in Vancouver, whilst PageSpeed Insights utilises Google’s global infrastructure. When interpreting the GTmetrix analysis, you will see that their own ‘GTmetrix Grade’ score treats Lighthouse data differently to Google’s native tool. This is why the same page may receive an ‘A’ rating from one tool, whilst achieving an average result from the other.

What does the ‘Reduce Initial Server Response Time’ error message mean?

This error message refers to the Time to First Byte (TTFB) value, which indicates the server’s response time until the first byte is sent. Slow response times are most commonly caused by poor hosting hardware, a lack of caching or unoptimised PHP code. On a modern, NVMe-based hosting service, this value should ideally remain below 200 ms. If the response time exceeds 600 ms, both Google and GTmetrix classify the server as critically slow, which also adversely affects search engine optimisation rankings.

How can I achieve a 100% performance score?

To achieve a 100 per cent score, you need perfectly optimised images, a lightning-fast server and virtually no external scripts. In practice, a score of over 90 is already considered excellent for most business websites. Often, completely removing marketing codes, chat windows or tracking pixels is what’s needed to gain those last few per cent. You need to weigh up whether a perfect score is worth sacrificing important business functions, as a score of 100 per cent can often only be maintained under laboratory conditions.

Does an SSL certificate affect the speed of my website?

The use of an SSL certificate has a negligible impact, adding only between 5 and 10 ms to the handshake process on modern servers. It is important to note that SSL is essential for using the HTTP/2 protocol. This technology enables much faster parallel data transfer than the older HTTP/1.1, so encryption actually speeds up the page. A secure connection is now a basic requirement, and its negative impact on speed has been completely eliminated by modern compression techniques.

How often should you run a GTmetrix analysis?

It is worth running the test after every major update, installation of a new plugin or modification to the content. For high-traffic websites, a weekly check is recommended to maintain stability. Automated daily monitoring helps you spot immediately if an external ad code or an oversized image is affecting loading speed. By carrying out regular checks, you can prevent losing visitors and revenue by the end of the month due to a site that is gradually slowing down.

Why are the mobile test results slower than the desktop ones?

The mobile results are poorer because the test simulates a mid-range device and a software-limited 4G connection during measurement. Whilst the desktop measurement assumes a fast fixed-line internet connection and a powerful processor, the mobile test is based on a bandwidth of 1.6 Mbps. This approach better reflects the actual user experience on mobile devices. Browsers also take longer to process JavaScript code on mobile devices, which significantly increases the Total Blocking Time value.

Does it matter to GTmetrix which country my server is located in?

The physical location of the server fundamentally determines network latency and data transit time. If you test a server in Budapest from a node in Vancouver, the response time may increase by as much as 300 ms due to the physical distance. When interpreting a GTmetrix analysis, always select the test location closest to your target audience. If you have Hungarian visitors, a test point in London or Frankfurt will give a much more accurate picture of the reality than a measurement taken from an overseas server.

How can I improve my CLS (Cumulative Layout Shift) score?

The simplest way to improve CLS is to specify the exact width and height values for every image and video in the HTML code. This way, the browser reserves the necessary space on the screen before the file is actually loaded. This prevents annoying content shifting, which often leads to accidental clicks. It is also worth avoiding adverts and pop-ups that load dynamically on top of the content, as these drastically impair visual stability metrics.

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