Since I'm new to the library, I've been trying to learn everything I can about how everything works, including Pressible. I've spent the past week digging through Google Analytics, and I'd love to discuss some of my findings.
I looked at monthly stats for Learning at the Library from August 2012 until now, and compared them to stats for other Pressible blogs. I was interested in traffic, popular posts, keyword searches and bounce rates (which measure general engagement).
Here's what I've noticed so far.
First, some observations about Pressible in general:
- Some of the most popular blogs on the Pressible network are set to private. For example all of Professor Allsup's classes use blogs that are unreadable to the outside world.
- Monthly traffic is pretty steady, hovering around 20,000 with a low in August of 12,596, and spikes to ~30,000 in November and April (exam time?)
- The bounce rate is pretty steady around 79%; lower bounce rates mean that people are staying on the site longer
Top blogs over the past year (in no order):
Digging down into this blog, here's what I've found so far:
- Traffic seems less predictable. From highs around 3000 in November and December, traffic rises or falls throughout 2013 without any obvious reason
- Top posts have a lot of stickiness, meaning that people search for them and view them again and again
For example, this post on Socrates and singlism
has been one of the top three posts for months.
Looking at these stats raised a lot of questions that I'd like to turn over to you:
Who is Pressible's target audience? Who is Learning at the Library's target audience?
What's more important: having an engaging conversation or a public one? Is there a way to achieve both?
What can we learn from Pressible's top blogs to apply to our own? How can we generate new content that resonates as well as the posts we wrote last year?
How can we at the library enable Pressible to be a better tool for learning?
If you'd like to see the stats, message me or Dina. And please leave a comment if you have a question you think we can answer with analytics!