/ Analytics

Various measurements in Google Analytics site speed report

Various measurements in Google Analytics site speed report

Every website owners feel the need to have substantial knowledge and grasp over the website analytics and other demographics. For such people, Google Analytics is an amazing platform that helps in developing the report, which answers all the fundamental questions. These analytics provide in-depth knowledge about the conversion rate, the traffic, and content performance. You can also identify the top-rated pages and the highly ranked content.

These points are vital for keeping the record of everything through the analyzing, but there is an array of metrics that define the traffic generation of the website and the performance results. A wide range of top-ranked websites have fallen into the drain because of slow loading times. The slow loading times are frustrating for the users, and they will never stay because “your SEO is good!”

Every website performs differently on different operating systems, devices, browsers, ISPs, and the hosting servers. Many websites expect the users to give feedback about their experience on the site, but let’s accept; nobody has such time on their sleeve. They are not going to sit down and pinpoint the areas of slow loading or stuff. This signifies that you are never going to know why visitors are leaving out the website.

But there are some standard reports along with a couple of metrics and dimensions that provide detailed intervening of how the page is loading. As a website owner, you can get a hold of this information through the site speed reports, but before indulging in the never-ending analytical reports, let us guide you on how to read these numbers and what they mean. So, have a look!

Metrics

We are going to talk about a bunch of metrics that can provide insights into the performance and speed of the website. This data is helpful in devising the improvement areas or the root cause for the sluggish loading or lousy performance. There are metrics on Google Analytics, but these are different from them, so, you need to have in-depth knowledge about the representation and data collection methods along with the data sources.

If you are from the technical side, you would be well-aware of the story that revolves at the backend of website loading. However, if you aren’t tech-savvy, let’s bury the hatchet here by stating that there needs to be a timeline to adjoin everything. In the section below, we have identified and talked about multiple metrics relevant to the Google Analytics as they provide a clear image of how the websites to load. So, let’s dive into the details as it’s crucial to get your website on track!

Page Loading Time Metric

As the name suggests, this metric provides the average value of time for the page loading. The time is recorded when the navigation starts by clicking on the link and ends when the desired page is loaded on the users’ screen. The values of this metric will be higher because the whole timeline is recorded. If you have higher page loading time, it is apt to wait before assuming anything.

Many developers start blaming the content, but there are an array of factors involved. Some of those factors include user’s locations, redirect links, network connection, and the server-side calls.

Redirection Time

If the website loading is slowing down due to the redirect link, this metric will define the time when redirect starts. Then, it identifies the end of the redirecting activity. But if the redirection time is zero, the average time will be zero.

Domain Lookup Time

This metric will show when and where the target audience or the visitors are searching for the site’s IP address (domain to be specific.) If you have copied or linked the content from multiple sources or we may say domains, the site loading will take longer. If you are going to opt for better hosting service or rolling out new solutions, this information will be valuable as it helps identify the multiple aspects adhered to it. The lookup time needs to be short for optimal loading time.

Server Connection Time

Just like the lookup time, the server connection time needs to be short, as well. Once the domain lookup is finalized, the device’s IP address will be connected through the domain’s IP address with the help of a server.

Server Response Time

The response time of the server depicts how long it takes your website to respond to the user or visitor’s command. For instance, it will identify the duration it took for the page to open once the user clicked on the tab. In this metric, there are two impacting factors inclusive of the user’s network and the user location.

Document Interactive Time

This metric talks about the written content on the webpage. You must have been to a website where the written content showed up even if the site was still loading. This metric identifies that time where the visitor starts interacting with the site and where the visitor reaches the interactive point. The time measurement will be done in seconds.

Document Content Loaded Time

This metric talks about the time when the complete website has been loaded, inclusive of the tabs, images, and text. It starts measuring time from the start until the total loading. This timeline is often higher in value as the correspondence is on-ready!

Page Download Time

The download time is usually less the loading time of the site because it devises the selected portion of the page. This point talks about the entity where DOM has loaded, but users need to load the styling sheets or the images. It usually depicts the referenced content on the page as that takes longer to load. However, this metric doesn’t measure the whole timelines from start to finish. It only measures the time taken to load the HTML part of the site.

These metrics are challenging to devise manually, and as a website owner, these pieces of information are highly critical. You should know these metrics to create the performance report of the website. The websites are suggested to create the custom reports that help them align everything in the dashboard for the continual monitoring of the metrics.