As we all know, driving traffic to your website is super important. What some overlook though is analyzing the data once you have done it.
In order to maximize your ad spend, you have to analyze that data, and I am going to show you how to access that data in as little as 5 minutes.
If you don’t, you’re missing out on a ton of valuable information - and it’s totally free! To start your account, just go to analytics.google.com and follow their step-by-step setup process.
Assuming you already have a GA account, here’s how you find out more information about the traffic on your website.
STEP 1: On the homepage of GA, you will see a menu that looks like this on the left hand side of the screen.
STEP 2: Next, you will want to select “Acquisition” from that menu.
STEP 3: Once the Acquisition submenu opens up, hit the drop down menu for “All Traffic”.
Under “All Traffic” you will see a variety of options that all give you a different look at that way your website is acquiring traffic. The first, and most important option I want to focus on is Referrals.
Referral information is something every business owner and marketer should know.
In this context, a referral is simply a page that leads people to your site. For example, if someone clicks a link on a blog post and goes to your site, then that post’s URL would be the referral.
This table also gives you a ton of handy metrics, including number of sessions, bounce rate and goal conversion rate.
Say you are currently ads on Facebook, Google Adwords, and you purchased ad space on a popular blog site relating to your industry. Here, you can see not only how many people came to your site from those different sources, but also the VALUE of that traffic based on how much time they spent on your site, pages they visited, and if the converted to a lead.
With all of this information at your disposal, you can determine where you should be spending your ad dollars and where your target market is spending most of their time.
Always remember, marketing is a four step process:
If you are not analyzing your data then you are only guessing at your results and wasting valuable ad dollars and time.