October 30, 2008
Google Analytics Profiles and Filters Part 1: The Must-Haves
Google Analytics (GA) is quickly becoming the analytics package of choice for many companies.
This is not surprising. I mean, it’s FREE!
But that aside, some of the more intricate functionality and customizable components of GA hold real value, and should be utilized. This article is part 1 of a two-part series on Google Analytics Profiles and Filters.
GA filters do just what their name implies. They filter out data so you can more easily find the pertinent information.
Profiles allow you to create different data sets with varying filters for separate reporting. Incorporating these separate profiles and filters into your GA setup can help you analyze data more accurately and efficiently.
Then, if you actually act on your analyses, you can potentially increase your site’s conversion rate.
Profiles and Filters Work Together
An important concept in GA is the idea of separate profiles. You should create a separate profile for each set of data you want to analyze, and then apply the appropriate filter(s) for each profile. It is easier to explain by example, so the rest of this post is a list of what I consider to be must-have profiles & filters, and how to enable them.


I’m sure most of you know that Google Analytics (GA) Content reports display pageviews and unique pageviews, along with other metrics.






