Most businesses nowadays run blogs on their websites to attract customers that are searching for related information. Do you know how your blog pages are performing against your business pages?
In this post, I am going to show you how to categorize your content based on your Blog Pages and your Business Pages. I will add a third category as this site has also a Google Analytics Glossary, and I want to understand how that is performing against the other pages/categories.
Why not do it in Google Analytics?
As you probably know, Google Analytics allows you to group your content so you can better analyze the performance on different categories.
It is not complicated to do it in the Google Analytics Admin panel, but I prefer to do it using Power Bi as it allows me to make changes retroactively.
Insights when content is categorized
In this dashboard (see picture below), I can see:
- How much traffic my Blog, Business and Glossary Pages are bringing to my site and looking at the data, the blog pages are by far the most popular. With the help of the blog, I can get quality customer leads to my business that hopefully lead to buying customers. Great, purposed achieved!
- I can also see that even if the blog pages bring traffic, only a small portion of the visitors check out my Business Pages. Can I lead more blog readers in to my business pages? Further investigation should be done.
Now is your turn, Do you know how your pages are performing?
No? No worries, lets build the dashboard to find out.
Download the Power BI file
Don’t want to create the Power BI file? If you are a member on our site (it’s free), you can download it below.
You will need also to change the data source from my account to your Google account.
Members Download center:
Watch it on
If you would like to see a live version of the dashboard, you can watch a demo in our YouTube Channel, otherwise you can follow a step by step guide below.
Creating the dashboard: Power BI Community
How to create the dashboard can be found on the guest blog post I wrote for the Power BI Community blog.