I’m officially the proud creator of a running Google AdWords campaign. I picked two ad groups this week, created or perfected an ad for each of them, and then, like a nervous parent sending his child off to the first day of kindergarten, I turned them on. The campaign’s been going since Wednesday now, and honestly I still have butterflies in my stomach. I’m checking stats several times a day just for the thrill of seeing another visitor to my site or another click to my affiliate offers.
I even made a couple of affiliate sales after the first day of 10 visitors to the site. The first few dollars or revenue from a new project are always the most exciting for me. I’m nowhere near a point of being able to make broad projections based on web stats, but it’s always fun to run numbers in my head and think about what might be possible.
We also installed Google Analytics on our sites this week. It’s been a while since I really dug into Analytics. I was Google certified a few years ago, but I’d forgotten almost everything but the basics. So this has been a good week of refreshing my memory and relearning some things.
It’s fairly easy to install Analytics on almost any website. You can copy and paste the code that Analytics generates for you into your webpages, or you can do as I did and use a plugin (for WordPress sites) that will set everything up properly for you. I’m using a plugin call Google Analytics Dashboard for WP. Besides installing the tracking code properly for me, it also puts a nice collections of graphs right on my WordPress dashboard.
Google Analytics is an amazing and free tool that objectively collects and presents data about website visitors, including where they come from, what they do while they’re on your site, and the circumstances of how they leave. That information can be invaluable in making informed decisions when it comes to investing time and money into your business. I think data analytics in general is a science in itself, but an online business owner should at least understand the basics and how to implement and interpret data collection for businesses.