Anyone who has browsed Google Analytics should have come across a lot of variables in the reporting stats.
This report consists of Dimensions and Metrics. These are the building blocks of your reports. And if you want to create a custom report, Google gives you complete freedom on what dimensions and metrics to put in the reports.
But without the knowledge of Dimensions and metrics, you may end up creating a useless report. In this post, I will try to explain everything you need to know about Google Analytics Dimensions.
Dimensions and metrics go hand in hand on Google Analytics while analyzing your website’s data. Also, Bounce Rate is one of the factors that plays a key role in google rankings.
Know about Metrics in Google Analytics, before you start to read dimensions in google analytics.
Table of contents:
All the data you see on Google Analytics, all variables, and stats are in the form of dimensions and metrics.
Let’s define dimensions as per Google’s definition:
Dimensions are attributes of your data.
I’m sure you didn’t get that. Well, allow me to define it in simple terms.
Let’s take the e.g of the city name. Here a city is the dimension and city name like Calcutta, Bangalore, etc are the values of this dimension. Let me make this clear by providing more examples.
The source/medium from the first column of your report shows the dimensions
The report gives you an idea of how other dimensions are and if you want to see the other dimensions then click on the secondary dimension button, as shown below.
You can also add new dimensions as secondary dimensions. For e.g, you can add “page” to your secondary dimensions to check on which page people land on your website.
In short “dimensions in Google analytics” are descriptive and characteristics of a data and when combined with metrics, it serves the meaningful purpose to us.
There are two categories in which we can broadly divide the dimensions in Google analytics.
One thing to remember is both Default and Custom dimensions can be used as primary as well as secondary dimensions in GA reports. We will see what are the primary and secondary dimensions.
According to Google:
Default Dimensions are the dimensions that are already or by default available in Google analytics.
Some of the default dimensions are listed below:
The following are the further categories of the default Google analytics dimensions.
So these are the categories of default dimensions in Google analytics. You can always view the complete list of all the Google Analytics Dimensions with descriptions and usage.
In simple words, custom dimensions can be defined as the default dimensions except that you create them yourself to collect and analyze the data that analytics does not track or collect automatically.
Custom dimensions are user-defined dimensions.
If you want to measure characteristics of any user that is not measured by default dimensions then you need to create your dimension to measure such characteristics.
There is some data like CRM data, Phone call Data, Logged in Users, which Google Analytics does not automatically collect. Through custom dimensions, you can import these data and also correlate this non-Google analytics data with Google Analytics data.
Just another type of default dimension in Google analytics. Primary Dimension is the type of default dimensions available in Google Analytics reports.
To better understand, just navigate to the Acquisition -> Overview -> All traffic -> Channels. There you can see “Default channel grouping” applied to the primary dimension section in reports.
Just below the primary dimension section, you can see the secondary dimension. The secondary dimension you apply to the report section is called the Secondary Dimension in Google Analytics.
You can select any secondary dimension from the drop-down menu.
You can choose to apply any secondary dimension to your reports.
The following reports would look like this if you apply the “country” as a secondary dimension.
Note: In Google Analytics, you can not use custom dimensions as primary dimensions in standard reports.
I’m sure you must have this question and it’s pretty normal to get confused between Metrics and dimensions.
A dimension is an attribute or descriptive label of the website visitors while a metrics is a number or quantitative measurement of data which makes sense as to what to do with the website or what are the changes we can make. Both metrics and dimensions play a huge role in Google Analytics.
For example, we can say that a color is a dimension because it has some value in form of description such as black, white, etc while the price of the product is a metric representing a numeric value.
See the below image for clarification:
A dimension can have the following scopes: ‘Hit’, ‘Session’, ‘User’ or ‘Product’.
Whereas the metrics can have only two scopes that are either ‘Hit’ or ‘Product’.
The value of custom metrics is of type “Integer” whereas the value of the custom dimension is of type “Text”.
Google Analytics(GA) reports consists of two types of data: Metrics and dimensions.
Google Analytics displays its data in the form of a table. Each table contains a row and a column. Each row of the table indicates the value of the dimension and the respective column shows the value of metrics.
So that was all about the “Google Analytics Dimensions” and its detailed explanation.
Any question regarding the topic, you can comment down. We will be more than happy to provide you with the best possible answer.