Digital Analytics for Business
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 [...]
Manoj Jasra asked me to write a small piece about the most common web analytics ‘pain’ that many of my clients feel. Thanks Manoj for the invitation! I’m honored that you asked. If you haven’t read the post you can find it here: Identifying & Solving Client Pains: Part 2. Sure, many of my clients [...]
Last week I wrote a rather quick post about configuring Google Analytics correctly. I just want people to have good data for their analysis. You shouldn’t be questioning the accuracy of your data every time you pull up a report. After a nice comment from Avinash, I began to think that there was more to [...]
We all know that web analytics data quality sucks and we’re all OK with that. Thanks Avinash! But there comes a point when the data quality is just abysmal. This usually means that there is something wrong with the web analytics application configuration. That’s why I’m writing this post. I’ve seen too many clients struggle [...]
Setting up goals in Google Analytics is a vital step in monitoring the success of your website. While it is not necessary, setting up goals helps you harness the complete power of the application. Most people usually set up goals and scrutinize the conversion rate. I’m not going to comment on conversion rate, Avinash has [...]
Last week wrote a piece about using custom segments to exclude yourself from Google Analytics tracking. I didn’t stop to think that some folks may not know what custom segmentation is and how it is implemented with Google Analytics. So today I’ll cover how to setup and use custom segmentation with Google Analytics. Segmentation of [...]
To keep your Google Analytics data pure you should remove all traffic generated by yourself or others that may not be real visitors. For example, if your company has a large call center you should remove the traffic they generate because it will skew your analytics data. To remove this data we usually use an [...]
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