Finding Your Referral Traffic In Google Analytics
The Aquisition tab in Google Analytics essentially tells you how people are getting to and discovering your blog. It will show you which social platforms yield the highest engagement (except for Instagram unless you have a tagged UTM link for your website on your IG – again that is another post entirely, that I hope to write soon), if other bloggers are linking to your posts, or show you how SEO friendly your image names are.
By accessing the Acquisition > Referrals tab, you can see where you are getting the most referral traffic from. IE how your audience is finding your blog. As you can see, a lot of my traffic is coming from German Google, Pinterest, Twitter, the Bloglovin‘ frame. But, that first one is totally referral spam and doesn’t contribute to any insights regarding my blog traffic.
Blog Referral Spam: Is It Actual Traffic? How To Tell If It Is Spam Or Legitimate
In most cases, nobody is viewing your blog from the referral spam sources. They simply have guessed your GA site code and run a coding script for it to ping your GA and register as a referral. Think of it like that scene in Matilda where her dad artificially backtracks the odometer of the cars he is selling, but instead of putting the car on blocks and running it in reverse, the marketing spammers are bypassing your site and hitting your GA numbers directly. This is why a key tell in referral spam is extremely low time on site, despite having insanely high traffic numbers.
Google.de? Completely legitimate traffic, it is just the German Language version of our Lord and Savior, Google. But if you see urls that have the same base name with different numbers interjected, as well as other indicators like high bounce rate and low time on site? It’s probably referral spam.
What you don’t want to do is click on that link to check it out. As that is part of the referral spam game. By pinging your GA artificially, they hope to drive actual traffic to their own sites – it’s human nature to want to see where your traffic is coming from, investigate, and blindly click somewhere. Nefarious purposes aside, don’t. click. the. links.
Googling the respective referral link and the term spam? is a good start. If you see other people complaining, best bet is to go ahead and filter that data out. How do you filter that traffic out you ask? Please be my guest and read along.
Using The Referral Exclusion List To Make Your Blog Traffic More Accurate
After you’ve taken a look at your referral traffic and determined which spam sources you’d like to exclude from your traffic data, I’d recommend opening the following page in a new tab.
In the middle column of your Admin section, you will see an option called Tracking Info alongside a .js illustration. Click on that to reveal a further drop-down list. In those options, the eye of the prize is the Referral Exclusion List. It is the second option from the bottom.
Tl;Dr; Go to Admin>Tracking Info>Referral Exclusion List.
You’ll know you’re in the right spot if your page looks similar to mine below.
Though if you haven’t used yours yet, it may be empty.
The next step is to copy the URL from the first page (Reporting > Acquisition > Referrals), click on the +ADD REFERRAL EXCLUSION button, and paste the link.
It will look similar to this. Then, you hit create. From this point on, Google Analytics will filter out that referral link and it won’t show up in your data.
That being said, it is important to check back every couple weeks to make sure that any new referral spam links are not being counted. It will take a while for this change to be reflected in your default GA view, as it typically looks at month to date statistics. However, if you stay on top of
Of course the topic of referral spam, seo, and marketing in general is much more detailed than I could even start to write about, this post is much more intended to be an introduction into understanding it with steps to filter out negative data. If you’d like to know more specifics, please leave me a comment or email me, and I’ll look into the matter for you (or at least give you a few starting point articles).
Do you use Google Analytics? What section do you find to be the most interesting or helpful when you’re planning out blog posts?
♡Em
