Capabilities of Web Analytics

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Let’s say you are currently promoting your website and want to attract customers through several channels: targeted advertising, SEO, newsletters, content seeding on social networks, and more. You are sure that your product is popular and in demand, but the advertising budget is running out, there are no sales, or the cost of attracting each customer is too high. Web analytics can help you understand why users do not take the intended action, such as leaving their contact details, making a purchase, downloading a file, watching a video, or clicking on a banner. It also helps develop a plan to eliminate these obstacles. In this article, we will look at what web analytics is and how it can help your business.

What Is Web Analytics?

Web analytics is the collection, processing, and analysis of information about website visitors for the further optimization of a website’s performance. The collected data makes it possible to study user behavior, understand visitors’ needs, and develop a course of action to increase the effectiveness of the website. Web analytics also helps expand the website’s capabilities in accordance with the needs of potential customers. When integrated with digital marketing strategies, web analytics improves audience targeting and helps refine marketing efforts for better results.

Why Do You Need Web Analytics?

Web analytics solves several main problems:

Analyzes traffic quality.
Finds technical issues and other shortcomings on the website.
Helps evaluate the effectiveness of advertising channels.
Contributes to reducing customer acquisition costs.
Identifies general patterns in website visitor behavior.
Helps create a user profile.
Shows ways to increase conversions.

Due to high competition in both the market and on the Internet, even well-established companies have to fight for their positions. In this case, web analytics in digital marketing helps determine the profitability of certain advertising channels. It also helps find the most relevant advertising offers, identify effective methods of content distribution, detect technical issues on the website, and understand what can evoke a response from the audience. All of this helps optimize advertising costs and improve product or brand promotion.

Methods of Web Analysis

The following methods are commonly used in web analytics:

Traffic analysis: studying user activity on the website, the number of unique and repeat visits, and possible reasons for a decrease or increase in traffic.
Target audience analysis: studying visitors’ geography, devices, operating systems, interests, and demographic characteristics.
Traffic source analysis: identifying where users came from, which acquisition channels were most effective, the cost of attracting one visitor, which ads or keywords brought visitors, and which pages they landed on.
Usability analysis: studying scroll maps, click maps, the most popular pages, and user paths on the website.
Technical issue analysis: finding errors, slow loading speed, duplicate pages, and other technical problems.
E-commerce data analysis: studying the most popular products, number of transactions, user behavior, sales cycle, calls, average order value, and revenue.

Web Analytics Tools

Data is collected through counters and log analyzers. Log analyzers are internal programs or automated collectors that store information about page visits. They can be used if the company has a separate server for analytics. Counters are external applications that are usually only several kilobytes in size. To implement them, changes must be made to the page code. After that, website visits are tracked, and the collected data is entered into a database. This method became popular after Google and other companies launched their web analytics systems. Today, counters are the standard. They provide access to information about the number of visits, purchases, clicks on certain buttons, and other important user actions. If you need help setting up web analytics, please contact UAMASTER marketing agency.