There are many choices when considering a web analytics solution. In my seven years working in digital marketing, I have seen pretty much every analytics systems, not just in the SMB world but also in the larger corporate scene. In my opinion, some charge way too much, some are cumbersome, and some make it easy to get lost in the data instead of extracting meaningful data. My system of choice is Google Analytics, which is what I’ll concentrate on in this series. Regardless of the system you choose, however, this series will provide information on how to retrieve, cross segment, and interpret the data you are currently gathering.
To start off, I’m going to tackle methods of data collection. There are two primary types — page tagging (otherwise known as client-side data collection) and log file analyzers.
Benefits of Page Tagging:
- Provides more accurate session tracking.
- Allows data collecting and storage for later analysis by your hosted vendor.
- Tracks client-side events.
- Captures client-side e-commerce data.
- Data stored, created and organized for you by the hosted software.
- Needs less IT time to implement and manage.
Disadvantages of Page Tagging:
- Inaccuracies setting up and tagging your site pages result in inaccurate data collected.
- Cannot track completed, partial, or abandoned downloads.
- Firewalls can skew data.
- Latency can result in untracked visitors.
- Deleted or rejected cookies can cause inaccurate tracking.
Log File Analyzers
Log file analyzers, otherwise known as server-side data collectors, are independent of web browsers and collect data as it is requested from the website’s server. Log file analyzers are typically used by standalone software vendors and take a lot more resources to maintain. Here is a short list of benefits versus disadvantages.
Benefits of Log File Analysis:
- No firewall issues.
- Can track completed downloads.
- Tracks mobile visitors by default.
- Can apply filters retroactivley.
Disadvantages of Log File Analysis:
- No event tracking.
- All program updates must be completed by your own team.
- Robots multiply visitor count, resulting in skewed data.
- Large amount of disk space needed to store history.
- IT department needs to manage, update, and monitor system.
- One IP address registers one person.
- Cached pages are not counted.
Looking at both these popular data-collecting methods, it is clear that where one system fails, the other exceeds. One reason I like using Google Analytics over other systems is that it is versatile. For example, if I wanted to use both data-collecting methods, I could configure the Urchin log file analyzer and Google Analytics simultaneously in order to get the best of both worlds. A reason I might do this is if I wanted to track activity behind a firewall like a local intranet against what is happening on my client side of my customer’s website.
Note: Urchin is a downloadable software system that Google Analytics purchased in April 2005, which has many more benefits than most other log file analyzers. You can download it here: www.google.com/urchin/download.html.
It is important to note that there are several thorny issues with data collection no matter what software or method you choose. Understanding that your data will ultimately not be 100% accurate is the start to truly understanding and interpreting your data and ultimately making the appropriate marketing decisions based on it.
Now that you understand the two most popular methods of data collection, the next obstacle is how data is misinterpreted, why this happens, and is there anything you can do about it? Make sure to subscribe to our RSS feed so that you don’t miss lesson two.