Bounce Rate is the single easiest web analytics metric to use and understand. In short, it is the rate at which people enter your site and almost immediately leave. Avinash Kaushik, author of Web Analytics an Hour a Day, has even described bounce rate as the “sexiest” web metric. I’m not a math guy so I’m hesitant to describe any metric as sexy - but I do believe that bounce rate is the most useful and easiest metric to use when taking a broad, overall look at the quality of your site’s traffic. It’s important to understand that bounce shouldn’t be used to judge your visitors, but that it should be used to judge your site. It’s not the visitors fault that they don’t like something about your page - it’s your blog’s fault and it’s your job to fix it.
As a blogger you should be concerned about the quality of your traffic, not the quantity. For instance, let’s say you’re lucky enough to get dugg. An article on your site is being flooded with traffic - you’re bathing in page views and unique visitor counts. But just because people are coming to your post doesn’t mean they’re actually reading the content. A good percentage of those people are actually immediately clicking the back button.
Knowing this, an important question to ask yourself is that of “is this the type of traffic I’m looking for?” I don’t want rapid-departure traffic on OldStacks. I want readers who’ll read my writing, maybe find something interesting or useful, and then write comments.
Bounce rate is a good starting tool for bloggers to use when assessing the quality of their site’s traffic. It’s important to understand that bounce rate is more like a chain saw than a scalpel. It’s not precise and there’s little thought behind it - we won’t know why visitors immediately left, we’ll only know that this percentage left as soon as they came.
Below I’ve given three basic examples of ways to bounce rate in conjunction with other metrics to better understand your site’s traffic. I use Google Analytics so all of my examples will be based around that platform - if you use a different analytics package and need advice feel free to let me know.
1. Examining new and return visitors by bounce rate. I chose this combination of metrics because it’s an easy and broad first step. Here, you already have readers segmented into two categories: new visitors and returning visitors. If you look at the image below, you’ll see that I’ve decided to look at new vs. returning visitors in terms of bounce rate, and overall contribution to total bounces.
- Almost 70% of new visitors bounce from the site. That means that only 30% of new visitors stick around long enough to read the content. I am really trying to grow the number of return visitors at OldStacks. But when 70% of new arrivals bounce that’s hard to do.
- Return visitors bounce at a rate of 48%. Unfortunately, that’s not much better than new visitors. I have a hunch that a lot of those bounces could be people returning to the site to see if there is new content and updates - most likely my parents, bosses, and maybe my sister’s boyfriend.
At this point I am more concerned about growing the site’s quality readership so I need to try and lower that bounce rate of new visitors. By and large, new visitors don’t randomly type in this URL - they’re referred by a link or a search engine. So, we’ll take a look at bounce rate by referrers and keywords.
2. Examining keywords by bounce rate.Keywords are great because they provide insight into visitor intention. Visitors are searching for specific information and via our keyword reports we can see their search queries. When a visitors arrives on a page and don’t quickly see something resembling their search query - they’ll bounce.
- In the photo above you’ll see that I’ve zoned in on one search string - “bossman baltimore oldstacks.” It is one of my more popular keywords. It is a pretty specific set of keywords, so the bounce rate is low at 20%. Those visitors are getting exactly what they’re looking for - my article on The Wire soundtrack and local Baltimore music. You’ll also see that there are no new visitors arriving on those keywords - which leads me to believe that someone likes that article but is forgetting to bookmark it.
- I would look at your most popular keywords - they ones that drive the most traffic to your site. See if their bounce rate is higher than your site average and if it is, set about fixing that. If people are searching for “silver dollars” find a way to prominently highlight that you do, indeed, talk about silver dollars on that page.
3. Examining referrers by bounce rate. Most of the referrals have come from StumbleUpon, Reddit, and Digg. As I said earlier, these 3 sites can really drive traffic to an unsuspecting blog. In my case, however, I am still waiting for that overwhelming wave of traffic to come.
- Here’s how I propose handling the intelligence gleaned from bounce rate by referrer. Examine the sites that send you the largest amounts of quality traffic - in my case this would be StumbleUpon and Digg - and focus on marketing to those sites. Become a prolific Digg citizen and stumble around the web. Similarly, if another blog is sending quality traffic to your site - start reading that blog daily. Add it to your feed reader and provide quality commentary via trackbacks and blog comments. Quality referrals will produce quality traffic.
Bounce rate is a quick and easy web analytics metric. It can provide a simple but effective analysis of how your site speaks to the average visitor. As you drill down into more specific metrics and categories continue using bounce rate as your go-to analytics tool. Then, start experimenting and improving the important pages on your site. Over time, as you lower your average bounce rate, you’ll have a healthier site and the type of quality traffic you desire.