Analytics: January 2013

We periodically review our website and blog’s Google Analytics to see how our various promotional efforts are doing. This month, we’ve decided to share some of that information to keep you informed on how many people are visiting Wonderful Machine and where they come from.

First up is the main site. From January 1 to January 30, 2013, wonderfulmachine.com had 12,155 unique visitors, 21,859 visits and 33,053 page views. The average person spent over 6 minutes on the site. The following graph shows the number of visitors on a daily basis:

We have a global audience, with most of January’s visits coming from North America. The United Kingdom is a distant second, and others come from as far away as Gibraltar and Cambodia. Here’s a list of the top 15 countries where our visitors are located:

Now on to the blog! Our blog has been steadily gaining traffic as we’ve put more emphasis on that content, and lately, it’s been outpacing the main site in total visits. In January, the blog had 22,776 people visit a total of 31,602 times, accounting for 152,677 pageviews! Here’s the traffic volume broken down day by day:

People also subscribe to our blog via RSS, and we track that through Google Feedburner. It’s helpful to track posts through here because we can more accurately tell which are most popular. While the blog’s analytics may show spikes in traffic, it’s harder to tell which posts were being read at the time. For example, one day, a popular Twitter user may Tweet a link to an old post, causing a large number of people to visit the site that aren’t reading that day’s post. Checking our Feedburner stats helps to see which posts really are getting read—and which aren’t. Here are some of our most popular blog posts through our RSS feed over the past 30 days (including how many people viewed them and clicked through to our blog from each):

I also track post popularity by using bitly, which allows me to create unique, trackable URLs. I then share these URLs through our social media pages. This helps me see how many people are clicking on each post and which Tweets, Facebook posts, Tumblr articles, etc., are the most effective. Best yet, tracking results are presented in real-time. Here are the bitly links I tracked from January 22-31:

Questions about interpreting your analytics? Reach out and let us help