What is a Dimension in Google Analytics? – mbzintech

What is a Dimension in Google Analytics? In Google Analytics, dimensions are used to evaluate and categorize qualitative data in conjunction with metrics. In a report designed to aid e-commerce shop owners in determining which pages motivate customers to continue browsing the site. Bounce rate statistics displaying,  via the dimension value landing page.

Google Analytics Exam Question and its answer see below:

What is a Dimension in Google Analytics?

  • A comparison of data between two date ranges
  • A report that offers information about your audience
  • An attribute of a data set that can be organized for better analysis
  • The total amount of revenue a business has made in a given date range

Correct Answer: An attribute of a data set that can be organized for better analysis

Explanation: In data analysis, dimensions use to describe different aspects of your data. The City dimension, specifies the location from which a session is initiated, such as “Paris” or “New York.”  Furthermore, a page’s URL find in the Page dimension.

For more information read Google Support Answer.

What is Dimension?

Dimensions in Google Analytics are also known as data attributes. Dimensions are non-quantitative numbers in Google Analytics reports, which is a simpler way to think about them.

Examples: Google Analytics Dimensions

  • Campaign
  • Source
  • Medium
  • Device Category
  • Gender
  • Ad Content
  • Keyword
  • Day of Week and much more.

Dimension Vs Metrics

Dimensions are not computations in and of themselves, thus they must link with metrics, which are. Metrics include computations like the number of users, the number of new users, the number of sessions, and so on if gender is the dimension.

Methods for using Google Analytics Dimensions

Dimensions break down a person’s identity to identify who they are in the first place while metrics monitor what a user performs.

For instance, Dimensions use to determine the location, gender, and age of the typical user. Knowing that one customer is from Seattle isn’t especially useful, but understanding that 87% of the company’s clients are in metropolitan locations is since these clients have distinct social and financial preferences that the business can accommodate.

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