I try to expand my knowledge of non-enterprise web analytics tools through this site. I’ve been using ClickTale and BTBuckets for awhile, Woopra for about a week. ClickTale is an analytics tool for seeing how users interact with pages, BTBuckets is a user segmentation and targeting tool, and Woopra is a real-time analytics tool.

Did I mention they are all free? (Note: with some limitations on free accounts.) I didn’t immediately see the advantage of using real-time analytics unless you were making real-time changes (here’s Woopra’s take on real-time analytics), and I challenged myself to use these tools together to do something cool.

1. ClickTale

In ClickTale I can see scrolling, clicking, and hovering behavior on my blog homepage (but not for other pages).  I noticed that although users scroll, attention is focused on the top 1/3 of the page. This reinforces ideas of user reading patterns noted by Jakob Nielsen and CX Partners. I also noticed a higher hover and clickthrough rate on my top-level navigation.

ClickTale scrolling heatmap

2. Woopra

Woopra dashboard

First, I really like Woopra’s dashboard. Features like seeing your top keywords in a word cloud help give a quick overview of user preferences on that day. You can set up alert notifications for different behaviors, referring URLs, and visitor types. Based on ClickTale data, I set up alerts for pages in the navigation.  At one point my About page was getting increased traffic compared to other pages.

3. BT Buckets

Previously I set up “buckets” that users were sorted into based on actions, referrers, or characteristics–i.e. user segmentation.  Because this was an experiment, I created a test page to do behavioral targeting and generate content tailored to a user segment.

Since a lot of users went from my blog, a landing page, to the about section, I wanted to continue engaging them. BTBuckets has built-in options for what you can change on the page when users from buckets see that page. I chose a shadowbox to appear on the test About page, to greet return visitors with a different message from new visitors…and it worked! (Note: I’m not planning on doing major debugging, so apologies if it stops working for some reason.)

Try the behavioral targeting test page here–you should get a custom message based on if you are a new or returning visitor.

Also try out these tools–they are really great additions to offerings like Google Analytics. I tried doing this for Twitter refers, but that didn’t work for some reason. Next time I would also speed up the process so changes were installed in a shorter timeframe. Overall I just want to make people think about how to combine free tools like these.

BTBuckets buckets

As promised, my troubleshooting is done (with Wordpress and GA and Website Optimizer), so I can write about the latest attempt at optimizing something not really worth optimizing.  I was encouraged by a couple people to take the plunge with multi-variate optimization, and I finally did. Granted, its just the work section on this site, so there’s very little conversion, but it works! The steps are not too difficult or different compared to A/B testing, and I liked having the ability to test out a wider variety of combinations.

I kept things relatively simple, and tested 2 variations for the control and test. But I also wanted to go beyond having a pageview as the conversion tested, and instead, I set it up so that time spent on page was the conversion.  I figured if this page were actually getting lots of views, what I would want to test is if they are reading the content there.  Oh so fancy.

ClickTale scrollmap: I want to use this with optimization data

I also liked that I could enter in variation code directly into the Google Website Optimizer UI. Later I realized I should add event tracking to the links, but I could still do that by revising and copying the experiment. I was disappointed that follow-up experiments only allow you to compare 1 combination to the original, so its like going back to A/B testing. That seemed lame, but maybe there’s some secret way around that.

Ideally I would then combine the data from this experiment with other metrics like exit % and pathing to see what that tells me. And maybe scrolling data from ClickTale. Now I want to try these things out on a site with more data! Or on a more robust tool. Hopefully soon-ish.

I guess I was feeling too web analytically inclined lately because I have been only reading about IA/UX stuff now.  There was an interesting research posting by ClickTale, that studied how users scroll and whether or not they are actually reading things below the fold.  There are 2 parts to the study, but part 2 is where they give substantial conclusions and advice.

Turns out people do scroll. Go figure. Its relative to the position in the page though, and people’s attention span drops dramatically after the top until they get to the footer, which they pay close attention to. Here are the main recommendations:

• The most valuable web page real-estate is located near the page top, between 0 and 800 pixels. Visitor Attention and Page Exposure peak at about the 540 pixel-line.
• If you have a long web page,  add “stop points” such as headers and images to prevent your visitors from quickly scrolling down the page. It will prevent their attention from waning towards the end of the page.
• The footer of your page is important! Users do pay quite a bit of attention to that area of your page.

This is interesting to me because the primary argument of a person sitting in on a redesign meeting at the Burke was that no one will ever look below the fold, so they asked me to make a different mock-up reflecting that.  While I think the most important/engaging content should remain above the fold, it turned a content-rich page into something that does not have much content because of the design restrictions imposed. You can see an earlier mock-up in the portfolio section, but I was undecided on whether this was a better alternative or not. I would post the new mock-up but I don’t know if that’s allowed yet.

Uber complicated graph from ClickTale

And if anyone is in the market for an amazing smelling candle, I bought the Aloha Orchid one from Anthropologie. Very nice. And all the millions of people who decided to make identical Excel macro tutorials need to stop.