Process Post #12

If I’m being completely honest, I’m not much of a numbers guy. I got by pretty well in mathematics in high school, but the second I realized I no longer needed it I left it behind and never looked back. If I’m reading about goals, assists, greens in regulation, serving percentage, and so on, I’m good to go.

But even in sports, when it comes to all the advanced statistics that have become prevalent in today’s world (e.g. Corsi or Fenwick in hockey), I tend to get a little lost. It’s not that I don’t want to understand what they mean, but my brain just doesn’t work like that.

So, when it comes to Google Analytics I have to admit I’m pretty clueless. However, I’m able to understand the basics that appear as soon as you open Google Analytics. Below is a picture of my data that has been collected to date since I first installed Google Analytics on my site on September 21st.

With 66 users total since then, I’ve only averaged just slightly more than one user per day, so obviously traffic is incredibly low which only makes me more confident in my decision to not want to monetize my site yet. Considering a good chunk of the visitors to my site are probably people in the class conducting peer reviews or Jaiden and Suzanne, the true number of ‘public’ visitors would only be more underwhelming.

In class this week, Suzanne mentioned that an ideal bounce rate is below 50% so it appears I have some work to do in that regard as well, but thankfully it’s not outrageously high and it is based on a relatively small sample size so far.

I hoped by creating a Twitter account and hashtagging my tweets with links to the posts I would draw some more visitors in and it seems to have helped a fair amount. Based on the screenshots below, 24 of my 66 visitors have come from Twitter, which accounts for 36.36% of all users so far. Part of that success is likely due to my retweeting those tweets from my personal account where I have over 1000 followers.

However, as you can see, the bounce rate from my Twitter referrals is very high at 88.0%, so it hasn’t exactly been a huge success story so far.

One thing that had bothered me up until lecture this past week was the fact that occasionally I would visit my website without being logged in to WordPress and would therefore register as a visitor to my site. Thanks to Suzanne showing us how to add filters, however, I was able to filter out my IP address so now I can visit my site without worrying about skewing the numbers.

I’ll continue to play around with Google Analytics in the coming weeks to familiarize myself with it in hopes that it will actually be useful for me as my website grows.

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