How to use custom dimensions google analytics:

Google's analytics Dimensions are methods for presenting and segmenting qualitative data alongside metrics in Google Analytics. The dimension value landing page can be used to present the metric bounce rate in a report to help eCommerce organizations identify which pages inspire users to explore their site further.

When generating a custom report in Google Analytics or Google Data Studio, you have complete control over the dimensions and metrics to include. But be careful; you can end up with a report that is useless. The distinction between dimensions and metrics will be discussed in this essay. Also, avoid these pitfalls if you decide to mix the two.

What are the Google Analytics dimensions?

A dimension is an object's descriptive characteristic or feature that can have many values. In addition to measurements, Google Analytics uses dimensions to analyze and segment qualitative data. For example, a session could begin in "London" or "Washington." Another example of Google dimensions is viewing the metric bounce rate in a report using the dimension value landing page.

All data in Google Analytics, as well as all report variables, is either a dimension or a metric. Dimensions are "aspects of your data," according to Google.

A dimension (Google Analytics dimensions) is a description, characteristic, or feature of your data in some ways. It's a qualitative variable rather than a quantitative one. Allow me to illustrate this with a few metrics examples:

• City
• Device
• Source/Medium
• Campaign
• Page
• Goals
• Products

Have you seen any similarities between them? They're all made up of words rather than numbers. Of course, certain properties, such as the hour and date, are numerical. The dimension, on the other hand, is a user property or feature that has nothing to do with how or what the user does on your site. The information gathered is described using dimensions.

Dimensions may display in the first column of your reports, indicating how many more are available. Choose the Secondary dimension option to discover what extra dimensions you can add to the Acquisition: Source/Medium report in this instance.

How to use Google Analytics Dimensions:

Metrics are used to track what people do, while dimensions are used to identify who they are.

For example, dimensions can be utilized to determine a typical user's gender, age, and location. Knowing that one of your customers is from Seattle isn't really useful; however, knowing that 87 percent of your customers are from cities is, because city dwellers have well-defined social and financial goals that the company can achieve.

Google analytics dimensions can also be used to track customers' paths as they navigate the site. Understanding how a consumer arrives at the product they want can help you figure out how easy it is to browse the site, which pages turn visitors into paying customers the best, and which ones don't.

Regularly improving the company’s online store is an important part of eCommerce success, and Dimensions may help determine where to concentrate the company’s efforts.

When creating custom reports, segments, or more involved custom dimensions and metrics, think about what you want to measure first. Think about how big or little your dimensions and metrics are. Check to see whether everything makes sense. Use the Session-level scope if you want to incorporate the Sessions metric in a custom report! Also, avoid combining hit-level and session-level variables.

What are Custom Google Analytics Dimensions:

With Google Analytics custom dimensions, you can track some “extra” data that Google Analytics doesn’t track out of the box.

You can see who has the most views on your site, what material a particular user is interested in, which of your targeted keywords is bringing in the most traffic, and so on.

How to use custom dimensions google analytics:

If you wish to measure a user's attribute that no default dimension can, you'll need to create and use your own dimension in Google Analytics.

You can, for example, make your own dimension to track and identify terms that resulted in a phone call from your website.

You can also use Google Analytics to establish your own dimension to retrieve data on website usage by writers, signed in or logged out users, or to measure conversion data over time.

You can correlate data from custom dimensions that Google Analytics does not automatically collect (such as CRM data, phone call data, and logged-in users data) with Google Analytics data.