How to calculate bounce rate in Google Analytics

In the second article, we are going to define the bounce rate from the point of view of Google Analytics, and we will also discuss how it is calculated by Google. Therefore, we must explain topics such as interaction, event, pageviews, as well as transaction. .

If you do not have information about bounce rate or the same jump rate, I suggest you read the article What is Bounce Rate first, otherwise stay tuned to SEO teaching for the rest of this article.

How to calculate bounce rate in Google Analytics

What is Bounce Rate defined in general in the first article, but the definition of Bounce rate from Google’s point of view in Google Analytics is a little different and, of course, more accurate, from Google’s point of view:

If the user does not interact, a bounce rate has occurred.

Now we will define what interaction is, but know that to calculate the jump rate, you must have good information about interactions, even if you do not need to calculate it, but you will definitely need these concepts at the time of correct analysis.


What is interaction in Google Analytics?

Interaction means “interaction” in simple language. Is the user involved in the site? Did you react? The name of the parameter of this interaction is called interaction. And now we will explain in full what Interaction involves.


Types of Interaction in Google Analytics

We have three types of interaction that we will introduce in the following:

  1. PageviewsPageviews follow the same old definition of bounce rate, if a Pageviews is done by a visitor, it means that the visitor has viewed a page of the site.
    Now Pageviews prevent bounce rate from occurring when two or more pageviews are done by the user, that is, if the visitor sees two pages or more on the site, the bounce rate will no longer occur and will not rise naturally. You know that the higher the jump rate, the worse it is. (Of course, this is not always the case, and this is a condition that we will mention later)

    Example: Suppose a user sees Page-A (meaning Page-A means a hypothetical page we named A) and then sees Page-B. In this case, two Pageviews are done by one user. And this user’s bounce rate is 0%.
    The second user only saw Page-A and only had one Pageviews, in which case the user’s bounce rate is 100%.

    With a simple calculation, we find that the result of the visit of these two users is a jump rate of 50%.


  2. EventEvent is the behavior that is recorded by the user on the site and is different from event events that are held in the form of periodic, class or conference.
    Events should basically be defined by you on the site, and your Google Analytics tool does not have an event by default, and you should be able to define the necessary events on your site with the help of the powerful Google Tag Manager tool, abbreviated GTM.

    If you have never used GTM before, then events will not affect your bounce rate. But in general, know that if events are sent with a hit, they can affect the bounce rate and reduce it. And if set without Hit, they will not affect the Bounce rate.

    You may ask, what is a hit? hit are a series of small text data that are sent from the existing Google Analytics code on our site to the main Google Analytics servers.

    Important Note: So we realized that we can change the bounce rate with events ourselves, but changing the bounce rate in Google Analytics will not have an effect on SEO and site improvement in Google results. The statistics shown to you in Google Analytics are for your information only, so do not try to reduce the Bounce rate by defining a Hit Event, as this will only lead you in the wrong direction and cause deception. You are analyzing your site data.

    We will talk about events later in separate articles.


  3. TransactionTransaction is also a type of Pageviews, but in the pages of buying a product, in other words, when a user wants to buy a product, he goes to the cart and then goes to the checkout page and then makes the payment. For this purpose, to go through this path (the user path in Google Analytics is called Flow), it is necessary to go to different pages, and this means that Pageviews or the same transaction will occur.
    Naturally, the transaction action does not cause the jump rate to occur, in other words, it reduces the bounce rate.


Summarize the words in how to calculate the bounce rate in Google Analytics

If none of the above interactions occur by a user, a bounce rate will be created in Google Analytics. And the bounce rate formula is as follows:

Bounce Rate = Bounces / Total Visitors (x100)

Example: If the number of bounces is 540 and we have 1000 visitors, we have to divide these two numbers and then multiply by 100 to calculate the bounce rate. In this example the bounce rate is equal to 54%.

In this article, which is part of the Google Analytics tutorial series, we tried to talk in simple and clear language about how to calculate the bounce rate.
We hope you have been able to make the most of this tutorial. If you have any questions, you can ask them in the comments section of SEO teaching.

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