Two matrics for you

I've developed two metrics I think are among the most important you can track, no matter what kind of site you have or what the objective of the site is. They are designed to focus in right on the biggest problem most sites have - getting visitors to go past the first page they see on your site. Underlying these metrics is the idea someone who comes to the site and views just one page was likely a lost opportunity - a pretty fair assumption for most business models on the web. I'll also toss in a third metric which might apply to your site at the end.

An important part of these metrics is the way they are constructed - not using "average behavior," but instead focusing on specific visitor behavior, and screening out "data noise" as much as possible.

Percent One-Page Visits

What is it?
One Page Visits divided by Total Visits

If I only had time to look at one metric, this would be it. This metric is usually tied to global navigation issues; it literally measures the percentage of visits bouncing off your site like it was Plexiglas (yea, one "s"). Since you often can't control which pages people enter your site through, you want to make sure if they don't find what they're looking for on the first page they hit, they know how to get to the information they want. Navigation is both a design and copy issue, since you can always write hyperlinks into copy that lead to related topics in other site areas.

Here is why I use visits instead of visitors or unique visitors as the "base" of a metric. It's the biggest, most reliable number available, so whatever "dirt" there is in it, it's not as dirty as unique visitors can be, which is complicated by visitor identity issues. I don't want complexity at this level; I want it clean and simple, the most accurate it can be. You could argue visits are inaccurate, because someone at work might only be able to read one page at a time, but might read 3 pages in a day more than 30 minutes apart. This would have the effect of making the metric look worse than it really is.

Yea sure, but compared with the problems you can run into with dynamic IP's, multiple users of a machine, and so forth, that's nothing. And I would add, does it really matter? What does that level of hand-wringing get you, is it actionable in any way? Can you do something better if you spent all the time and effort to get the absolutely exact number?

What's important is the trend, and as long as you use numbers calculated in the same way each time, the trend is actionable. If you have a super tracking system / you are really only interested in tracking authenticated users and you want to use visitors or unique visitors - and this really is important to your objectives - than go right ahead.

Here is what myPercent One Page Visits graph looks like.

The trend is generally down, meaning the percentage of visits having only one page is falling. The changes I am making are working - a higher percentage of visits are going deeper into the site because navigation is improving.

What's quite interesting is the first trend down ending around November 15 then spiking upward. This was the end of optimizing the original site, which was replaced with the new site, which caused a sharp spike upward again. Hey, that redesign was a great idea, right? Not! But over time (and lots of re-writing), I've been able to bring it back down. There is a lesson here - do you actually measure the success of design and other changes you make to your site? You should and you can, as long as the metric you are using ties to the objective of your site.

Another interesting feature on this chart is the 2 spikes in October - know what that is? Less targeted advertising. I primarily advertise by buying specific keywords on Google AdWords and Yahoo Search Marketing, but decided to test some contextual display ads in targeted content areas of About.com.

Huge click through, bogus customers (high one-page visits), ruined my stats - and very expensive. Do you see why tracking this stuff is so important? I don't have to calculate the ROI on that ad spend to know it's worse than I normally get - the customer behavior tells me it is. By switching dollars out of About.com back into Google and Yahoo, I automatically increase ROI - without ever having to calculate it. Folks, relative measurement (comparing the trends) rather than absolute measurement (calculating the ROI to the last cent) can save you a lot of time and effort. By the way, I don't think there is anything wrong with About.com - the audience is apparently just not right for my b2b site. Might be good for yours; you won't know until you test and measure.

Percent Single Page Access

What is it?
Single Access Page Visits divided by Entry Page Visits for a page

The Single Access Page report counts visits to a specific page where it was the only page looked at, and pages are ranked by number of visits. This is very much like One Page Visits from the last article, except the tracking is by each page as opposed to the entire site. In other words, if you added up all the individual Single Access Page Visits for each page you get One Page Visits for the whole site. This data can be an indicator of poor design or weak content on specific pages, and is great for identifying pages you probably need to work on.

To turn this data into a more actionable metric, I divide these Single Access Page Visits for a page by the total number of visits where that page was the Entry Page to the site.

This ratio is the metric Percent Single Page Access, which measures the ability of a specific page to pull visitors into the site. Compare this with the previous metric Percent One Page Visits, which measures the ability of the site as a whole to pull visitors further into the site.

On my site (probably yours too), the home page is the primary Entry Page, so I start my measurement efforts there. As time allows, I move on to other important Top 10 Entry Pages , tweaking the message on each to minimize Percent Single Page Access visits on each page. On most sites, 80% - 90% of the traffic is coming in through the Top 10 Entry Pages. Start with these and you get the most bang for your buck on your efforts.

My objective on the home page is click-through / conversion - I want to pull the maximum percentage of people into the next level of the site that hit this page. I want to know how many people saw this page when they first hit the site and clicked through to another page. By dividing Single Access Page Visits by the Entry Page Visits for a page, I get a percentage that most accurately measures the objective - initial conversion from home page to another page.

The above is an example of really thinking about your objective and what you are using to create your metrics. Follow this: if I used total views of the home page instead of Entry Page Views, I would be introducing "noise" to the conversion ratio objective, because some of these people would have seen other pages before they see the home page. I don't want that, because it's not important to the objective. I want to specifically measure the ability of the home page to take a visitor and get them to click deeper into the site. Don't use total visits to or total views of a page you are looking to optimize for conversion because then you are including traffic that was there for a different reason. If you want to measure the ability of a page to pull visitors into the site, use only visits where this page was the Entry Page.

Then you track this percentage, make changes to the page, and look for trends. Each page will have some "beginning" percentage, and what you would like to see is the Percent Single Page Access visits fall over time as you tweak design, navigation, links, and copy.

As a behaviorist, I don't trust what customers say they want or will do, I watch what they actually do. It's a simpler and much cleaner form of testing. If I write what I think is killer copy, and the Single Access Page Visits percentage rises, I was wrong. If it falls, I was right. Too much time is spent on agonizing over surveys and other inconclusive evidence. Track the customer data. It will "speak" to you and tell you the answer. If you want to further qualify the behavior, then do your surveys. But always get the behavior first so you understand the issues and ask the right questions.

Another interesting feature of the Percent One Page Visits chart is the wide fluctuations within the general trends. You know what those regular spikes up and down are caused by? Weekends. I get much higher "abandonment" of the home page on weekends, and much higher penetration into the site on weekdays, especially midweek. Makes sense; my site is really a business-to-business kind of thing.

Don't ever let anybody tell you time of day or day of week don't matter - the audience changes significantly by time of day and weekend versus weekday, and it may be in your interest to move with those changes, changing featured articles, products, or site functionality. It's not for me, I'm too much of a "niche player," but if you're running a more general interest site, particularly if you are a retailer, it could be in your interest to test this.

Bonus Metric:
Percent One Minute Visits

What is it?
One Minute Visits divided by Total Visits

A very similar idea to the first one, only using length of visit instead of page views as the controlling number. This metric speaks to the general "pull" of your site to a visitor overall, an aggregation of all the copy, content, design, and functionality issues rolled into one.

Track this percentage over time. For an info-site like mine, you would assume that the longer people stay, the better you are serving them.

On my site, the trend is generally down, which is what you want to see. Visitors are staying longer with the site. I can really see the change in performance around day 67, again, when the new site went up. This was a very significant change, and confirmed my suspicion that even though many people don't want a lot of "fluff design" on a web site, they may not trust a site that is so bare that only a "celebrity" like Jakob Nielsen can pull it off. The old site is pretty sparse on design, but is still around to service people with slow connections and alternative or older browsers.

Around day 151, I can see the effect of a home page re-write I did that dramatically increased % One Minute Visits. Interestingly, this was an attempt to drive down One Page Visits by shortening the home page length, figuring people were not making it through and abandoning the page before they saw content they wanted. Wrong; the customer behavior tells me so. One page visits didn't really budge; but one minute visits climbed substantially due to the shorter page. And Single Page Access was flat to higher! So the shorter home page hurt more than it helped. As a behaviorist, I don't try to argue with the behavior (that shouldn't have happened, darn it!), I react to the evidence and change my approach.

The deep spike down at day 21 was the posting of one of my articles on a highly targeted CRM site, and it looks like it worked as a high quality customer acquisition tool. People coming from this site on average stayed a long time, driving down the percentage of one minute visits, and this was an indicator of their "quality" - I sold a ton of books the next several days.

Percent One Minute Visits is a more rigorous number to use than "average visit length," because you are focusing in on the "worst case" and screening out as much as noise as possible from measuring your true objective.

For example, your average visit length might be rising with your one minute visits rising at the same time because a small group of hard core users were spending huge amounts of time on the site. If you focus on reducing one minute visits, average visit length will take care of itself over the longer run.

Depending on your site, one minute visitors may contain a large percentage of new visitors, so it's worth keeping an eye on. For some sites, it might be better to try to increase one minute visits, if the goal is "quick service" of some kind.

Conclusion

Are these stats great? Well, they are for my site, because they're getting better. I don't think you can specify across different businesses with different ad strategies and business models that 60% Single Home Page Access is bad, or 40% One-Minute Visits is good. What matters is where you are today and where you're headed. For example, take my site.

Since I am using the most rigorous metrics possible (daily and very tightly defined), some of these numbers may seem high. But what if I told you I have a 70% repeat rate over longer time frames (30 days)? That close to 50% of visitors bookmark the site?

Now you have a different picture of the user and how they behave. By focusing in laser-like on the key conversion metrics, I know if I can fine tune those, the longer term metrics will take care of themselves. When you're looking at interactive behavior, "point of first contact" measurement is one of the most important metric areas you can study, because it very frequently has implications for the longer term behavior of the customer.

You have to track this stuff, folks. Otherwise you're flying blind. The customer data will tell you most everything you need to know. And you'll notice, not once during any of this have I personally identified a customer, or asked for any personal information. I don't need to. I know what advertising I'm running, I know what changes I'm making to the site, and I make sure that I only change one thing at a time when testing new concepts.

Then I watch the stats, and look for a reaction to the changes I make. If they improve, the changes were good. If they get worse, the changes were bad. The customers in the aggregate tell me through their transactions what the best course of action is.

Visitor metrics are all about getting customers. Once you've mastered visitor metrics, some of you might be interested in making more money from and keeping customers; that is what my other book, Drilling Down, is all about - the metrics you need to create and track High ROI customer marketing programs.