Happy New Year! I hope everyone enjoyed some quiet time during the holidays. Looking at my visitation data for the past 2 weeks it looks like many off you stayed off-line. I know I did!
I’d like to take a second and thank all of you who take the time to read this blog and provide feedback. I’d also like to thank the web analytics community for all their support and encouragement. Thank you, I appreciate it.
Here’s a light post to start the new year, a review of some important Google Analytics topics that I covered in 2006. I think that all of the posts listed below are very helpful to a new or experienced GA users. Without further ado, my Top 5 Google Analytics Resolutions for 2007.
Remember, an incorrect filter of goal setting can ruin the data in your Google Analytics reports. Bad data means bad analysis. Test all of your settings using a duplicate profile before changing the settings on a ‘production’ profile.
One of the most useful features in Google Analytics is its ability to track online marketing campaigns. We all know that GA works great with AdWords, but it can also be used to track banner ads, CPC ads and even your off line ads. If you do any online advertising you should track the performance at the most granular level.
I’m lazy :) I expect all the data I need for an analysis in one place. I don’t want to hunt through 4 or 5 Google Analytics reports to find the data for my analysis. I define key performance indicators for a site and monitor then using a single report. Take the time to export data from Google Analytics and into some other application (like Excel or PowerPoint) so you can instantly gauge the health of your website.
3. I will avoid the most common GA configuration mistakes
Getting Google Analytics set up correctly will insure the quality of your data. I’ve seen lots of GA setups, some good and some bad. I’ve got a series of posts describing some of the most common problems people make when setting up profiles:
Not sure if you have GA set up correctly? Here are a few ways you can identify configuration mistakes.
While the data quality in Google Analytics may not be 100% accurate, you should try to make it as accurate as possible. One such way is to exclude all the traffic that you and/or your employees generate. If your office has a static IP address you can use a simple exclude filter. But, if you have mobile users or a rotating IP address you need another solution. I suggest excluding visitors using the Google Analytics custom segment technology.
Google Analytics provides data about how people find your website and how they use it. This data needs to be part of your normal business decision making process. Should we spend more on AdWords? Check the data. Should we change our checkout process? Check the data. Get the picture? You should have a process in place to use the data generated by your website. Even better, you should use the data generated by your website to identify new business opportunities.
Did I miss something? Feel like I don’t know what I’m talking about? Leave a comment.