In this instructional video, Shaun Whynacht of Blue Cow Marketing demonstrates how to prevent internal traffic—such as visits from your office or home IP address—from contaminating your Google Analytics data. He explains why excluding your own IP is essential for obtaining accurate website traffic metrics, then walks through the Google Analytics interface: accessing the Admin panel, selecting the View column, opening Filters, adding a new filter, naming it, choosing the predefined Exclude filter type, setting the filter field to IP address, and using the 'equals' match type. Shaun shows how to locate your public IP by searching "what is my IP" in a browser, copying it into the filter, and saving the configuration. He notes that dynamic IPs may require periodic updates. Once saved, any future visits from the specified IP will no longer be counted, ensuring analytics reflect only external visitors. The video concludes with a call to action for viewers to like, subscribe, and comment with questions.
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Hey, it's Shaun here at Blue Cow Marketing. Today we're going to look at Google Analytics and I'm going to show you how to eliminate your IP address from the results you're seeing on your Google Analytics. Now, why would you want to do that? Well, you are the one who is building your website in most cases. Um, your team, your office are on the website all the time, but that's not going to give you a true measure of the traffic to your website when your team is on the website a lot. So The one way around that is to exclude your office or your home ID or your home IP address or a, your office IP, wherever you're accessing it, excluding that from all the results. But how do you do that? Okay, so let's get right into it. So you see here on the screen, this is our Google Analytics from Blue Cow Marketing. So what we're going to do is we're going to go to the very bottom And I'm actually gonna move my little thing out of the way. There we go. We're gonna click on the admin button. Now, when you go to the admin, you got your 3 columns here. You're gonna look at the view column on the right-hand side, and you're gonna go to filters. Now, once you hit filters, you're gonna click add a filter, and you're gonna create a new filter, and you give it a name. So I'm gonna say block blue, blue cow IP. Right? And this is, this is not specific to any functionality. This is mainly just a name. So when you got a list of different IPs that are blocked, you know which one it is in case it changes. A lot of times you get dynamic IPs, so your IPs will change every couple of months. So you may need to go in and update it. So it's good to know exactly what it is. So it's going to be a predefined, and we're going to select the filter type of excluding. And the source is going to be traffic from your IP. And you're gonna select the expression of is equal to. Now, how do you find out your IP address? Well, just open up another browser and type in what is my IP, and it will come up here. So here's our IP address. I'm gonna copy that. I'm gonna come back here, and I'm gonna paste it in there and click save. Now, it's as easy as that. Now it's set up. From this point forward, anytime I'm accessing this website and any other sites that I put that filter on, I won't be counted in the analytics. It'll be pure traffic from outside sources, which is exactly what you want to see and what you want to have. So hopefully that was helpful. Hopefully you're going in and you're blocking your own IPs because like I said, it's important to do that. Again, thanks for watching this video, this tutorial. I love putting these together. This was something that wasn't planned. I just, I had to do it this morning. I was like, hey, this would make a great video. So I put it out there to you guys here on YouTube. So if you like this video, like, subscribe, gonna be doing a whole bunch more on different topics related to marketing, business, tools, tech, anything that I see useful, especially for my clients and myself. So hopefully you enjoyed. If you have any questions, comment below and I'd gladly reply. Thanks for watching.
