If your site has a lot of content pages, analytics can be a challenge. Sure, you can identify the best and worst performing pages, but how can you analyze the performance of different categories, different groups, of content as a whole?
Content Grouping is a feature in Google Analytics that allows you to compare aggregate metrics for similar kinds of content on your site. You can group content in a way that’s logical for your site structure and analytics goals.
For example, say you run an online retail store. You might want to create Content Groups for Men and Women. Then within each group, you have product pages for Shirts, Pants, Outerwear, etc.
Then, you can easily compare statistics for each type of clothing within a group (e.g. Women’s Pants vs. Women’s Shirts). You can compare sales by Department, individual pages, and a lot more.
The concept is a little difficult to wrap your head around (at least it was for me), so let’s look at another example:
Say you have an ecommerce site that sells cellphone accessories. These are your general product categories:
- iPhone accessories:
- Screen protectors
- Charging docks
- Android accessories:
- Screen protectors
- Charging docks
And say you want to compare your overall sales for iPhone and Android accessories. You would create:
- Content Grouping: Accessories
- Content Groups: iPhone and Android
Or say you wanted to compare the performance of different Android accessories. You would create:
- Content Grouping: Android
- Content Groups: Cases, Screen protectors, Charging docs, Styluses
In essence, content grouping makes it way easier to determine how your different content categories or product categories are performing compared to each other.
Content Grouping Setup
Google Analytics allows you to create up to five Content Groupings and unlimited Content Groups.
To get started, head to Google Analytics, go to Admin, and then Content Grouping:
Then you’ll have three different options to define your content groups:
Group By Tracking Code
You’ll need to add a line of code to each web page that identifies the Content Group.
Here’s what the code would look like if you defined your first Content Grouping as Accessories and created a content group called Android: youanalytics.js: ga(‘set’, ‘contentGroup1’, ‘Android’);
Group Using Extraction
If you group using extraction, then you define your content groups by page or page titles.
This is a regular expression to identify the URL, page title, or screen name of your pages. If you use subdirectories to categorize your product pages, this will be an easy way to assign content.
Page > /Android/(.*)/ would put each subdirectory of /Android/ into the corresponding Content Group.
Group Using Rule Definitions
With this option, you can use the rules editor to help identify your content.
This method will show you different matching options you can use to define your rules. For example, if you use “Page > contains > /Cases/” all content with /Cases/ in the URL will be added to the Content Group.
You can use any or all of these methods to identify your content. Just know, Analytics will evaluate your content first by the tracking code, then by regular expressions, and lastly by configured rules. If you have more than one rule, these will also be evaluated in order.
Also, setting up Content Grouping won’t help you analyze historical data for these content categories. The Content Groups are only valid once you create them.
Content Grouping Analytics
Once you add Content Grouping as a primary dimension in your Content reports, you can see Content-Grouping statistics.
The names you defined will appear as options from the Primary Dimension>Content Grouping menu.
For this report, Unique Views means the number of sessions in which a page in that group was viewed one or more times. So, if someone visits the page for one of your iPhone cases 5 times in the same session, it would only count as 1 Unique View for the content group.
You can also use Content Grouping in your Behavioral Flow graphs. These help you see the journey visitors take through your content groupings:
Then you can answer questions like, “After visitors look at my Android cases pages, where do they go next? Do they switch to another section or leave the site?”
If you have a higher exit rate for one content group, there could be some user experience problems with these pages that cause people to leave.
In this post, I focused on an ecommerce example for content grouping, but webmasters for all sorts of sites can benefit from extra insights with content grouping. Justin Cutroni wrote a great post describing how content grouping works in different use cases, including:
- Software as a Service
- Gaming Applications
- Content Publishers
Check it out to get some inspiration for how you can adapt content grouping for your site.
Do you already use content grouping in Google Analytics? I’d love to hear about your use-case in the comments.
* Adapted lead image: Public Domain, pixabay.com via getstencil.com