What is a Secondary Dimension?
A secondary dimension is an additional piece of data that you can use to further analyze the results in your Google Analytics reports. For example, if you’re looking at a report showing how many pageviews each of your website’s pages has gotten, you could add a secondary dimension of “city” to see which cities those pageviews came from.
Secondary dimensions can be extremely useful for helping you understand your website’s traffic and pinpoint areas that need improvement.
How to Use Secondary Dimensions
A secondary dimension is an additional piece of data that you can use to further segment and analyze your traffic. For example, if you’re looking at your traffic by source, you could add a secondary dimension of pageviews to see which sources are sending the most engaged traffic. You can also use secondary dimensions to segment your traffic by things like location, device, or browser.
Set up a Secondary Dimension in Google Analytics
A secondary dimension is an additional dimension that can be applied to your Google Analytics data to get a more granular understanding of how users are interacting with your site.
For example, you might want to look at the gender breakdown of your site’s visitors, or see what devices people are using to access your content.
To set up a secondary dimension in Google Analytics, follow these steps:
- Log in to your Analytics account and navigate to the “Admin” section.
- In the “View” column, click on the name of the view you want to modify.
- In the “Secondary Dimension” drop-down menu, select the dimension you want to add from the list of available options.
- Click “Apply.”
- You will now see data for both dimensions in your reports.
Use a Secondary Dimension to Analyze Data
A secondary dimension is a way to analyze your data by adding an additional layer of information. This can be helpful when you want to understand how different factors are affecting your results.
For example, let’s say you want to understand why your website’s traffic is down. You could add a secondary dimension of browser type to see if the decline is due to a decrease in traffic from certain browsers.
To add a secondary dimension:
- In Google Analytics, go to the reports page for the view you want to work with.
- Select the date range you want to analyze.
- Click on the Secondary Dimension drop-down menu.
- Select the dimension you want to add from the list.
- Your data will be updated to include the new secondary dimension.
What are some possible Secondary Dimensions?
The secondary dimension is a feature in Google Analytics that allows you to further segment your data. For example, if you’re looking at your traffic sources, you could add a secondary dimension of “landing page” to see which pages are being accessed from each traffic source. There are many possible secondary dimensions, and which one you use will depend on your data and what you’re trying to learn from it.
Country
-Costa Rican
-Guatemalan
-Mexican
-Nicaraguan
-Panamanian
- Kenyan
-Tanzanian
-Ugandan
City
Possible secondary dimensions for City include:
- Roast level (light, medium, dark)
- Bean type (Arabica, Robusta)
- Origin country
- Grinding level (coarse, medium, fine)
Source
The original source of the coffee beans is one of the most important secondary dimensions. The three main sources of coffee beans are:
-Africa
-Central and South America
-Asia and the Pacific
Other secondary dimensions include:
-Processing method
- Roast
- Grind
-Brewing method
Medium
-Full City -High -Continental -New Orleans -European -Espresso -Viennese -Italian -French
Keyword
There are a few secondary dimensions that are worth considering when performing keyword research. These include things like search intent, difficulty, and opportunity.
Search intent is what the searcher is looking to do when they perform a query. Are they looking to buy something? Are they looking for information? Or are they looking to complete a task? Depending on the answer, you’ll want to target different keywords.
Difficulty is another important dimension. This refers to how difficult it is to rank for a particular keyword. If a keyword has high search volume but is also very difficult to rank for, it might not be worth targeting. However, if a keyword has low search volume but is easy to rank for, it might be worth targeting.
Opportunity is the last secondary dimension that’s worth considering. This refers to the potential traffic that can be gained from ranking for a particular keyword. A keyword with high search volume and low competition might have a lot of opportunity, while a keyword with low search volume and high competition might have very little opportunity.
How to Choose the Right Secondary Dimension
Google Analytics is a powerful tool that provides a wealth of data that can be analyzed to improve your website. One way to get even more out of Google Analytics is to use secondary dimensions. Secondary dimensions can help you drill down into the data to get a better understanding of what is happening on your website. However, choosing the right secondary dimension can be a challenge. In this article, we will give you some tips on how to choose the right secondary dimension.
Consider your Goals
Choosing the right secondary dimension for your Google Analytics data is an important step in understanding your website traffic. The secondary dimension allows you to slice and dice your data in order to better understand which users are taking which actions on your site.
There are a few things to consider when choosing a secondary dimension:
-What is your goal for this data?
-Are you trying to understand which channels are driving the most traffic?
-Or are you looking at conversion rate by device?
-Maybe you want to segment by new vs. returning users.
No matter what your goal is, there is a secondary dimension that can help you better understand your Google Analytics data. By taking the time to choose the right one, you can get valuable insights into how your website is being used and how you can improve the user experience.
Consider your Data
When you’re looking at your analytics data, it’s important to consider what kind of story you’re trying to tell. That will help you determine which secondary dimension would be the most useful. If you’re looking at behavior data, for example, you might want to use a secondary dimension that tells you where your users are coming from. If you’re looking at conversions, you might want to use a secondary dimension that shows you what products are being purchased.
There are a few things to keep in mind when choosing a secondary dimension:
- Make sure the dimension is relevant to the story you’re trying to tell.
- Avoid using too many dimensions. More isn’t always better.
- Choose adimension that has enough data to be meaningful. Otherwise, your results could be skewed.
Conclusion
Google Analytics is a powerful tool that can help you track and analyze your website traffic. One of the features that makes it so useful is the ability to add secondary dimensions to your reports.
Secondary dimensions allow you to add additional data points to your reports, giving you a more complete picture of your website visitors and their behavior. For example, you could use a secondary dimension to see which countries your visitors are coming from, what browsers they’re using, or what kind of device they’re using.
Adding a secondary dimension to your report can be especially helpful if you’re trying to troubleshoot an issue or track down a problem. For example, if you’re seeing unusual traffic spikes in your report, you could add a secondary dimension to see if there’s anything specific that’s causing the spike.
If you’re not sure how to add a secondary dimension to your report, don’t worry! The process is actually quite simple. Just follow the steps in this article and you’ll be up and running in no time.