Just a Google Analytics code inserted on your company's website
Posted: Sat Feb 01, 2025 5:43 am
Can you imagine making business decisions based on incorrect information?
8 steps to perform a Google Analytics audit that returns results
Below, I will show you 8 steps to help you perform a reliable audit of your Google Analytics.
Review these points and make sure you have configured the tool correctly and that the data on which you base your decisions is correct.
1.- Make sure the Analytics code is inserted on all web pages
In a Google Analytics audit, it is essential to ensure that the Analytics code is correctly inserted on all pages of the website.
Or, alternatively, the Google Tag Manager tag, which is sweden mobile database becoming more and more widely used because it is more versatile for future needs.
Said like that it seems obvious and smaller companies or those with simple digital environments usually do not have any problems.
But in some more complex organizations, with more digital activity, it may happen that landing pages or other specific campaigns are created and, then, no one remembers that the Google Analytics code must also be inserted, losing that information.
How to check this point in the Google Analytics audit?
There are a number of Google Chrome extensions that help you determine if your code is installed correctly.
My favorite is Google Tag Assistant, which tells you if the Google Analytics code - and the Google Tag Manager tag - is correctly installed on a given web page.
In Google Tag Manager, it is important to choose the “all pages on the website” option when activating Google Analytics tracking.
2.-
When you do the Google Analytics audit, check that the code is inserted only once.
If the same Google Analytics code is loaded more than once, this causes the data returned by the tool to be duplicated.
An abnormally low bounce rate may be a sign that the code is repeated.
Remember that the bounce rate tells you which sections of the website do not generate interest.
Generally speaking, bounce rate is triggered when a person lands on a URL and, without interacting, the person leaves that page.
When a particular page has the same Analytics code twice, since this code is loaded twice, the second time the code is loaded it cancels the bounce, providing unreal data.
8 steps to perform a Google Analytics audit that returns results
Below, I will show you 8 steps to help you perform a reliable audit of your Google Analytics.
Review these points and make sure you have configured the tool correctly and that the data on which you base your decisions is correct.
1.- Make sure the Analytics code is inserted on all web pages
In a Google Analytics audit, it is essential to ensure that the Analytics code is correctly inserted on all pages of the website.
Or, alternatively, the Google Tag Manager tag, which is sweden mobile database becoming more and more widely used because it is more versatile for future needs.
Said like that it seems obvious and smaller companies or those with simple digital environments usually do not have any problems.
But in some more complex organizations, with more digital activity, it may happen that landing pages or other specific campaigns are created and, then, no one remembers that the Google Analytics code must also be inserted, losing that information.
How to check this point in the Google Analytics audit?
There are a number of Google Chrome extensions that help you determine if your code is installed correctly.
My favorite is Google Tag Assistant, which tells you if the Google Analytics code - and the Google Tag Manager tag - is correctly installed on a given web page.
In Google Tag Manager, it is important to choose the “all pages on the website” option when activating Google Analytics tracking.
2.-
When you do the Google Analytics audit, check that the code is inserted only once.
If the same Google Analytics code is loaded more than once, this causes the data returned by the tool to be duplicated.
An abnormally low bounce rate may be a sign that the code is repeated.
Remember that the bounce rate tells you which sections of the website do not generate interest.
Generally speaking, bounce rate is triggered when a person lands on a URL and, without interacting, the person leaves that page.
When a particular page has the same Analytics code twice, since this code is loaded twice, the second time the code is loaded it cancels the bounce, providing unreal data.