Web analysis is an essential aspect of managing your online presence and can help you understand how people interact with your website. You should use this data to make necessary changes to improve the experience for customers or take action against negative patterns. 

This blog post will provide a brief overview of the importance of web analysis and some examples of its usage in a business context.

This blog post is written with the audience that wishes to use web analytics to improve the website, either for their own or business needs. It was initially published on my blog at Wampir.com.

What is web analytics?

Web analytics are tools to understand how people interact with your website. The data available through web analytics can be used to gain insight into your visitors and optimise users' experience.

Web analytics data is available directly from your web server or external services. For example, if you have a web server running Apache or IIS for Windows, you can get the information using commands in your operating system. 

In addition, external tools like Google Analytics and Piwik are easy to use and allow you to track more data. Later, we will discuss some advantages of using these tools over self-hosted options.

Web analytics is not the only way to obtain important data about your website. You can track many other aspects of your website directly, including errors that users might experience while browsing. 

However, web analytics provide some crucial advantages over monitoring data directly from your web server or using simple tools like Google Analytics now in the browser.

This post will be exploring the basics of web analysis and show how it can help UX designers understand their users' behaviour. Web analysis is a valuable tool for UX designers because it allows them to collect data about user behaviour and make decisions based on these insights. When you’re considering design changes, you can use tools like Google Analytics, Hotjar or CrazyEgg to see how the changes will affect your users' experience with your site. This is one of the most effective ways to make sure that your next project will have positive results.

This post will cover the following topics:

• Introduction to web analysis

• The goals of web analysis

• How to analyze user behaviour using Google Analytics or Hotjar

• Frequently asked questions about web analytics

This post is not a step-by-step instruction but instead will present an overview of how and why you should use analytics in your job as a UX designer.

Web analysis is the practice of collecting data from a website. The most common way to do this is by using analytics software, which will allow you to track user behaviour on your site and make decisions based on that data. This could mean intelligent, informed design decisions, such as noticing that some forms are in trouble or that the site lacks a simple action button.

Web analysis can be divided into two categories: behavioural and clickstream analysis. Behavioural analysis is the most popular and happens at the end of your users' session. It measures all their actions on the site, such as visits, page views or time spent there. Clickstream analysis is performed by logging the clicks that users perform on elements. This type of analysis is particularly useful because it gives you a better understanding of which elements they interact with while they're using your site and which ones they don't.