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What is a Dimension in Google Analytics

Jan 26, 2023 | HOW WE MAKE IT, TIPS & TOOLS

What is a Dimension in Google Analytics?

Understanding the data collected by this powerful tool is essential for anyone looking to optimize their online presence and drive their business forward. But with so much information available, it can be overwhelming to know where to begin. That’s why understanding the basics of Google Analytics, including the concept of dimensions, is crucial to unlocking the platform’s full potential.

In this article, we will explore what dimensions are, provide examples of dimensions in Google Analytics, and explain how to use them to gain valuable insights about your online audience. Whether you are a business owner or a digital marketer, this guide will provide you with the knowledge you need to effectively analyze your website data and make data-driven decisions.

Dimensions Explained

Dimensions are like the “categories” of your data. They help you organize and understand the information that Google Analytics is collecting about your website and online presence. But what exactly are dimensions, and how can you use them to gain valuable insights about your audience?

Definition: A dimension in Google Analytics is a way to segment and organize data based on certain characteristics or attributes. A Dimension in Google Analytics is simply a data attribute used in conjunction with metrics to provide a more comprehensive understanding of a website’s performance. For example, by viewing the metric of bounce rate through the dimension of the landing page, e-commerce merchants can better understand which pages are leading users to further explore their website.

Examples of Google Analytics Dimensions:

  • Campaign: Allows tracking of specific campaigns that led a user to the website
  • Source: Identifies the origin of the user before landing on the website (e.g., Google, social media, referral)
  • Medium: Specifies the type of referral (e.g., organic search, CPC)
  • Device Category: Indicates the device used by the user to access the website (e.g., desktop, mobile, or tablet)
  • Gender: Allows segmenting data based on the gender of users
  • Ad Content: Allows understanding of which specific ad content led to conversions
  • Keyword: Allows understanding which keywords were used in the search queries that led the user to the website
  • Day of the Week: Allows understanding the trend of visitors on different days of the week
  • Month of the Year: Allows understanding of the trend of visitors in different months of the year

How Dimensions and Metrics Go Together

It might sound complicated when you start hearing words like dimensions and metrics being thrown around, but it’s actually quite simple. Dimensions are used to segment and organize data, while metrics provide the numerical values that give context to that data.

For example, using the dimension of “source” allows you to segment your data by where the traffic is coming from (e.g., Google, social media, referral), while the metric of “sessions” gives you the number of sessions from each source. Together, these two pieces of information allow you to understand not only where your traffic is coming from but also how much traffic is coming from each source.

How to use Dimensions in Google Analytics

Creating custom dimensions

You’re not limited to the default dimensions provided by Google Analytics. You can also create custom dimensions specific to your business. This allows you to segment and analyze data in a way that is most relevant to your specific needs.

To create a custom dimension, navigate to the “Admin” section in Google Analytics, select the “Property” and “Custom Definitions,” and then select “Custom Dimension.” From there, you can name and define your dimension.

Segmenting data by dimension

One of the most powerful ways to use dimensions in Google Analytics is by segmenting your data. This allows you to view your data in a more granular way and can help you identify patterns and trends that may not be apparent when looking at your data as a whole.

To segment your data, navigate to the “Reporting” section in Google Analytics, select the dimension you want to segment by, and then apply the segment to your data.

Using dimensions in combination with metrics to analyze data

Another powerful way to use dimensions in Google Analytics is by combining them with metrics. This allows you to analyze your data in a more holistic way and gain a deeper understanding of your website performance.

For example, you can use the dimension of “source” in combination with the metric of “sessions” to understand not only where your traffic is coming from but also how much traffic is coming from each source.

FAQ

What is a Secondary Dimension in Google Analytics 4 (GA4)?
In GA4, every report includes a primary dimension that is pre-selected to offer a broad understanding of how that dimension performs in relation to a set of metrics. To add more depth to the analysis, Google also allows for the option to segment the dimension data by adding a ‘Secondary Dimension.’ This gives the flexibility to analyze the primary dimension and then view the related data through the lens of a secondary dimension within the same report.

How many dimensions can I add to a single report in Google Analytics?
You can add up to seven dimensions to a single report in Google Analytics. However, it’s worth noting that using too many dimensions can make your report cluttered and difficult to read. It’s best to stick to a few key dimensions that are most relevant to your analysis.

Can I delete a dimension in Google Analytics?
Yes, you can delete a dimension in Google Analytics by navigating to the “Admin” section, selecting the “Property” and “Custom Definitions,” and then selecting “Custom Dimension.” From there, you can select the dimension you want to delete and click on the “Remove” button.

Can I change the order of dimensions in a report?
Yes, you can change the order of dimensions in a report by dragging and dropping the dimensions in the order you prefer. This can be done in the “Reporting” section under the “Customization” tab.

Can I rename a dimension in Google Analytics?
Yes, you can rename a dimension in Google Analytics. To do this, navigate to the “Admin” section, select the “Property” and “Custom Definitions,” and then select “Custom Dimension.” From there, you can select the dimension you want to rename and click on the “Edit” button.

How can I determine which dimensions are most important for my analysis?
The most important dimensions for your analysis will depend on your specific goals and the nature of your business. It’s a good idea to start by analyzing the default dimensions provided by Google Analytics and then add custom dimensions as needed. It’s also helpful to segment your data and look for patterns and trends that may not be immediately apparent.

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Jaclyn Hawtin

Jaclyn Hawtin

Director of Technology

Over a decade of experience in product management, devops, startups, and agile methodologies. Track record of simplifying complex technical processes for cross-functional teams. Proficient in user centered design, UX, IX, UI, IA, user research and data analytics for responsive web, mobile and tablet applications. Incredibly adaptable, fluent with both people and machines.

Mani O'Brien

Mani O'Brien

Director of Marketing

Mani is a senior marketing manager with roots in storytelling. She nerds out on everything data, technology, human behavior and design. Chat with her about UX/UI, marketing funnels, conversion and goal tracking, marketing experimentation and astrology (she’s a Virgo Sun, Aries Rising).

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