Have a Google Analytics account? Great! Have any idea what to make of all that data? That’s where we come in. If you often find yourself looking through tabs and tabs of data with a giant question mark hovering above your head, you may be making a few of the below (totally fixable!) mistakes.
- Thinking Low Numbers are Always a Bad Thing
It’s only natural – you see numbers dropping, you panic. But a low number isn’t always a bad thing. Think about Bounce Rate: the lower the rate of people viewing only one page of your site, the better! This means your visitors are interacting further with your content.
- Not Connecting Adwords to Your Analytics Account
You invest a lot of time and money into your paid search accounts. Don’t you want to see that hard work pay off? Connect your Adwords and Analytics accounts – otherwise, your paid search traffic may be categorized as organic search. Which brings me to my next point…
- Grouping All of Your Site Traffic Together
Traffic to your website comes from multiple channels: organic search, paid search, social media, etc. Build custom UTM tracking codes using Google’s URL Builder. This tool allows you to add parameters to URLs so you’re able to identify where that specific visit came from.
- Failing to Filter Out Your IP Address
The majority of your site traffic will come from your visitors, but if you visit your site often to, say, test out a form submission, that will be counted as a lead…unless you filter out your IP address. This will exclude any internal visits and conversions from your Google Analytics data.
- Not Setting Up Goal Tracking
Increasing site traffic is all well and good, but are your visitors completing a conversion? That’s where goal tracking comes in. Whether it’s a purchase, form fill or download, conversion information is crucial when identifying the effectiveness of your campaigns.
The world of analytics never slows down, so be sure to check in on your accounts at least once a week. Take time to dive deep into your data, because these five suggestions only skim the surface of the complexities of Google Analytics.