Google Analytics is a fantastic source for website traffic data. However, a good analysis of Google Analytics can show much more than the traffic generated by your website. You can get all kinds of information on things like traffic sources. For example, which sites have posted traffic to your site, which channels of your social network visitors are directing to your site, which keywords are classified in Google. Also, you will get to know here how Google Analytics works.
In addition to breaking traffic, the interpretation of Google Analytics can also show you how visitors interact with your site by providing information on important topics.
Most Important feature in Google Analytics
- The main content that shows the most popular pages on your site,
- New visitors to visitors who return at specific times, giving you an idea of how dense your site is and how many visitors are returning from subsequent visits,
- The time spent on your site,
- And much more.
When we work with clients, we consult their Google Analytics data to collect important information such as SEO traffic sources, search engine traffic, social traffic, and so on. We also analyze the data in more detail to obtain important information about the behavior of site visitors, such as: For example, the extent of participation, the time spent on the site, the most visited pages and the typical routes of the site users. , Dropout rates on some pages.
We also measure different types of work like traffic to determine which is the most useful, such as search engine traffic, compared to social media traffic.
Web site analysis can often be dangerous if you look at statistics in isolation and draw conclusions based solely on the data. For this reason, we carry out audits of websites from the point of view of the personalities of the target group. Then we can overlay website analytics data so that we can more reliably infer the use of the website.
An example would be if there is a suspicion that there are problems in the structure of the website and navigation, For example, hidden content in the structure of a page or the navigation of the too complex website. In this situation, Google Analytics data, such as built-in page scans, can be used to provide specific clues to some of these issues by checking the click-through rate data on the various buttons and elements of the page.
Why do you need to use Google Analytics?
A good understanding of the journey of customer value is essential to a successful marketing campaign. The customer’s journey is essentially the process a customer follows from the very first interaction with his brand to the last.
It includes the following steps:
- Acquisition: This involves creating brand awareness among interested users.
- Behaviors: This involves a greater commitment to people to interact with your business.
- Conversion: In this step, Actual paying customers to transform these prospects.
This is the heart of marketing funnels, and monitoring and measuring digital marketing success. measuring digital marketing success. With Google Analytics, you can easily capture all the data and know which marketing activities work and which are not. Having an easily accessible numeric analysis now enables you to make better business decisions.
How Does Google or Web analytics works?
Want to know how Google Analytics works? Google Analytics can provide you with advanced metrics and website traffic data. However, many new entrants find data collection and reporting very complex.
In this article, we’ll show you how Google Analytics collects, processes and reports on the simplest terms possible. When we’re done, Google Analytics is no longer a complicated puzzle. Click here to know more about Google Analytics that how it works?
How does Web analytics collect data?
After you’ve created your Google Analytics account, you’ll need to add the script to your website. With Monster Insights you can add Google Analytics correctly and easily to your Word Press site and make sure you send all interactions to Google Analytics.
After installation, Google Analytics sets a cookie in the user’s browser for your website. This allows you to track every interaction that the user makes on your site.
What are the interactions?
Interactions are all types of actions that users perform on their site. It can be as simple as loading a page or something more specific, such as: For example, clicking a link or video playback button.
Each time you interact with your site, the tracking code sends information about your users and their interactions on your site to Analytics. The tracking code sents the information that information is a hit.
A hit is a URL string that contains useful information about the users, similar to the code in the image below.
The URL string above provides Analytics with useful information about the user who triggered the hit. The highlighted parts are the information we can see when we break the chain. The containing information like:
- The Language of the user browser
- The name of the page displayed.
- User device and its screen resolution.
- The analysis identifier
In the introduction to web analytics, Analytics extends the collected data using other sources, such as IP address, server log files, and other ad serving data. The use of additional extended data may include things such as location, age, gender, browser, operating system, and source/medium that directs them to the website.
The information transmitted by the results varies according to the different types of user interactions.
There are 3 most common types of results:
- Pageview hit: it is the most common type of hit. This option is activated when a user loads a website with the tracking code on their website.
- Event hit: A touching event is sent when a user interacts with a specific item on your site. Follow actions like clicking a video play button, a specific URL, a product carousel, or sending a contact form.
- Transaction hit: It is also referred to as e-commerce success. In a successful transaction, data is transferred to the user’s online purchases, e.g. For example, purchased products, transaction IDs, and inventory management units.
How does Analytics process data?
Google Analytics data processing begins by categorizing data in users and sessions.
First, Google Analytics detects new users over old users.
When a user arrives at a page with a tracking code, Google Analytics generates a unique and random identification associated with the user’s browser cookie. A new user requires a new user id. When a new ID is detected, Analytics will show it as a new user. However, if an existing identifier is detected, it is considered a user returning and configured with the hit.
If another user views your webpage from another device or clears out the browser cookie then that user is a new user.
Next, Google Analytics classifies the appearances in the sessions to understand a user’s commitment to its website. A session is a group of user visits that take place at a specific time.
A session begins when a user appears with a tracking code on a web page. Subsequently, the user can perform various interactions, eg. Loading other pages, clicking links, etc. in session a session ends after 30 minutes of inactivity. If the user returns to a page at the end of the session, a new session begins.
Once the collected data is organized per session, you can calculate a set of metrics, such as: For example, the total number of sessions, the number of pages per session, the average duration of the session, and the bounce rate.
In the third stage of computing, Analytics appends the data collected through the tracking code to other sources, such as metrics logs or other Google marketing tools such as Google Ads, AdSense, and Search Console.
The fourth step is to classify and organize the data by filtering, targeting, data grouping, custom dimensions, custom metrics, and more.
How does Web Analytics Generate Reports?
Google Analytics reports consist of two components: dimensions and metrics.
The dimensions are attributes of your data. For example, the land is a dimension that refers to countries such as the United States, India, the United Kingdom, and so on.
The dimensions most commonly created by Google Analytics by default are country, location, browser, operating system, service provider, and language.
Metrics are quantitative measurements of your dimensions. The measure of sessions, for example, is the total number of sessions.
Once the collected data applies the configuration settings, Google Analytics creates dimensions and calculates the metrics for each dimension. Database table stores each dimension as shown in the report. Most reports in Analytics use rows for the dimensions and columns for the metrics associated with the dimension.
When creating dimensions and metrics during processing, Analytics must determine the scope of these dimensions and metrics to determine their applicability at various levels.
The dimensions and metrics can be on one of three levels:
Google Analytics combines the dimension and measure combinations of the standard communication and communication standard. Here is a selection of the personal dimensions of the personal dimension.
Upon completion of Google Analytics processing, you can access your site analytics reports from your Google Analytics account. when you will start work on Google Analytics then you will get to know how it works properly.
Google Analytics can do wonders for your business in a more advanced way.
It gives you valuable information that can help you improve your website’s performance and increase the number of conversions.
Despite the fact that there are many other analytics management platforms, Google Analytics remains a highly relevant, free-of-charge solution for managing analytics on your site.
I hope you have understood the Google Analytics. Also, you have understood how it works. And if you have any doubt about Google analytics feel free to ask. If you found this post useful then please comment in the below section and share with your friends also.