Wednesday, August 23, 2017

Bounce rate vs Exit Rate in Google Analytics.

Bounce Rate

Bounce rate is percentage that shows us the behaviour of users in a website or a particular web page. It basically defines number of user who visited a website (a particular landing page) and reverts back or closed the website from that web page itself, without browsing any further page of a website.

Bounce rate can be calculated for a particular webpage or for a whole website.

So, in technical terms we can define bounce rate as, percentage number of bounces to the total number of entrances in a website.

Now, to formulate it in terms of website:

For a particular webpage A:

Bounce Rate of Page A =

(Number of bounces from Page A / Total number of entrances on Page A) x 100

 For a Website:

Bounce Rate a Website =

(Number of bounces from all the pages / Total number of entrances on all pages) x 100

However, now you can only see the bounce rate of whole website rather than individual pages, that means you cannot be able to see the total number of entrance and bounce on an individual web page. Google Analytics has stopped this feature some times before.

 

 

Exit Rate

Exit rate is the user’s behaviour towards website that describes, from which page user is exiting. Generally when people visit any webpage or website, they search for something that can solve their query. So, after landing on a webpage or after browsing, when a user exits from a webpage that means whether his query is resolved or he doesn’t find anything related.

So, Exit rate defines the percentage of visitors that exits from a given page from total number of visits to that page in a same session.

Now, to formulate it in terms of website:

For a particular webpage A:

Exit Rate of Page A =

(Number of exit from Page A / Total number of pageviews of Page A) x 100

Exit Rate is always calculated on page level, because it’s an attribute that can be calculated for each page but not for whole website.

 

bounce rate and exit rate

Bounce Rate vs. Exit Rate

Let’s understand this with a simple example, suppose 5 user visits a website on a particular day.

User 1: Page E > Page F > Page G

User 2: Page F> Exit

User 3: Page F > page G >Page E

User 4: Page G > Exit

User 5: Page F > Page E > Page G

 

Bounce rate:

Suppose there are 5 user that come to a website on the same day.

Page E : user 1, user 3, user 5 have visited Page E, but landing page of user 3 & user 5 is not Page E  and even user 1 lands on Page E. But even then all 3 user won’t be counted in bounce, because in same session they are not exiting from same page where they landed.

So, for Page E bounce rate is 0%.

Page F : user 2, user 3, user 5 have landed on Page F, but only user 2 exits from same page(Page F) without browsing any further page.

So, for Page F bounce rate is 33%.

Page G : Only user 4 has landed on Page G and exits from same page without visiting any other pages.

So, for Page G bounce rate is 100%.

 

Exit rate:

Page E : Out of 5 user, user 1, user 3 and user 5 have visited Page E, so there are 3 pageviews for Page E. But only user 3 exits from Page E.  

So, for Page E exit rate is 33%.

Page F : 4 users have visited Page F, but only user 2 exits.

So, for Page F exit rate is 25%.

Page G : Also for Page G exit rate is 25%.

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