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Friday, Jul. 31, 2009 at 9:21 am

Segment Your Way Out of Sadness

By Bryan Eisenberg
July 31st, 2009

shutterstock_market_analysisLast week, my team of analysts and I were discussing a client that wasn’t getting the types of results we had expected. This particular client was implementing changes well and clearly should have seen the conversion rate needle move based on those efforts. Instead, the numbers were flat. Something was clearly wrong.

We began to dig deeper. We learned that the client, an online software service, was pushing current customers through a key selling page we were optimizing. Because these customers had already converted and were simply on their way to sign in, it was causing noise in the data, canceling out any movement we might have seen otherwise.

I instructed one analyst, a competitive type who takes great pride in delivering results for our clients, to segment his way out of sadness. The analyst was able to shortly report some very positive results underneath the noise.

He segmented out current customers and was able to analyze optimization results using cleaner data. Simple. And overlooked, more often than you’d think.

Of course, segments can be used to filter out visitor noise, but they can also be used to keep a close eye on specific campaigns and events and to hunt for opportunities. Let’s look at a few ways you can use segments to get a better idea of why visitors do what they do on your site.

First, for the sake of simplification, I’ll refer to segmenting in the free Google Analytics tool, but know that segmentation is available in almost any major analytics offerings. While viewing visitors by segments isn’t new or novel, it’s becoming easier to do.

What Are Segments?

Google Analytics calls them advanced segments. Here is its official definition:

    Advanced Segmentation is a tool you can use to slice and dice your Analytics data with great precision. Advanced segments allow you to choose what types of visits you want to be considered when generating the data for a report.

    If you find that you have a large amount of data but you’re having a hard time filtering the information into a report, you can easily create your own segments or use our default segments and apply them to any report instead of creating different filters for each profile. Use advanced segments to further understand, anticipate and react to your customers by identifying key trends and common behaviors.

Ideas for Happy Segmenting

Let’s start with a few ideas courtesy of ROI Revolution. Here’s one specifically for e-commerce sites:

    If you have any sort of membership programs, tracking returning transactions and customer retention is a great way to increase revenue. Using the New vs. Returning report is a very basic way of examining these trends, but it’s based on the Google Analytics cookie. People surf from multiple browsers and multiple computers, but if you have a membership program or the ability to track customer accounts, chances are you will know whether someone is a return customer…

    You can create an advanced segment to zoom in on only those with the “return” tag.

    Now monitor your retention efforts. You’re testing out a new coupon program? Did it boost your return customer transactions? Did it boost overall revenue? Now you can find out.

And another:

    The Top Landing Pages report is great if you’re only interested in bounce metrics, but what if you want to see how much money a landing page generated? One way of getting at this data is by creating an advanced segment for each landing page.

    Once you apply these segments to your reports, you can see all traffic that originated at a specific landing page. In addition to revenue, try analyzing time on site, internal site searches, and clickpath data. You can use the information that you collect here to supplement your Google Website Optimizer reports with additional metrics. If one landing page generates more orders but the other generates more revenue, which is the true victor?

In our practice, we look at several segments by default. The new vs. returning visitor segmentation is always helpful. This segmentation allows us to see how well a site is doing with first-time unique visitors compared to returning visitors. It gives us insight into the length of the buying cycle and can help us determine if a site has credibility problems.

We also do a lot of persona-based segmenting and segmenting by buying stage. But that is another, much longer column.

You can also set up segments to track how visitors might be behaving based on traffic source, such as why one traffic source, such as affiliate traffic, is outperforming your own PPC (define) campaigns. The possibilities are endless and fun, and can be very profitable.

For lead-gen sites, segments can be set up to cross-analyze conversion rate among content pieces that people visit. You can then drill-down and learn why Whitepaper B converts at a higher rate than Case Study A.

Maybe you just produced a few new product demos and videos to sell your goods and you’d like to know if they’re working. In Google Analytics, you can easily set up event segments and isolate the traffic that has actually watched your new video events. Are those visitors indeed converting higher than those who don’t see a video?

Get some more ideas directly from Google and Omniture.

Last Words and Caution

One caution: Segments can be used to torture data into saying whatever you want. Resist the urge to segment and segment and then segment again until you see the positive result you’re looking for. Simply use it as a way to either zoom in on a specific visitor behavior compared to a control of some kind or as a way to filter out unqualified, or noisy, traffic.

If you’re a little bit of an analytics junkie but have hesitated to jump into segments, you’re doing yourself a disservice. Jump into segments, the water is warm. You don’t need to be an analytics ninja to set up a few helpful segments. Remember, metrics based on averages produce average results.

Have any interesting lessons from your segments? Tell us all about it.

Add Your Comments

Comments (17)

  1. “Segments can be used to torture data into saying whatever you want.”
    Couldn’t have agreed more. One problem with using Analytics that one finds difficult to avoid is looking for confirmation. “I have made the navigation smoother so I should get this results”. It is very easy to segment into a small portion of visits that proves the theory.
    Great article Brian.

  2. My favorite quote:
    “Lies, damned lies, and statistics” from Benjamin Disraeli.

    Once a statiscal model has been generated, it must be continually verified and its assumptions questioned. It is too easy to let yourself be swayed by overly good or bad news.

  3. Our website generates many thousands of visits through organic searches; however we determined that a large % of this traffic was obviously not interested in our service based on the search terms they used to find our website.
    By segmenting the organic search traffic based on relevant and irrelevant keywords we were able to determine a more accurate conversion rate for our website.
    We are much happier with our conversion rate now 

  4. I agree with idea.

  5. Thank so much

  6. Good article and useful needs our thanks.
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  7. Thanks for this great article.มีด

  8. Great article Brian! I really have to learn more about Managing Advanced Segments.

  9. Thanks for this great article.

  10. I love Google Analytics it is a good tool for segments.

  11. Nice post,thanks to you for publishing such a great article.

  12. you can create custom advanced segments tailored to your own specific needs. One of new Analytics features announced in Oct 2009 is the ability to share custom advanced segments with other users across accounts. It is hard to get used to new things.

  13. What I like about segments are very easy to use. I’ve been using it since college. Thank you for another great information you’ve shared.

  14. however we determined that a large % of this traffic was obviously not interested in our service based on the search terms they used to find our website.
    By segmenting the organic search traffic based on relevant and irrelevant keywords we were able to determine a more accurate conversion rate for our website

  15. thanks for the great post. I used to have this same issue, but luckily I got it fixed.

  16. Thank you. I love your site and many good news.

  17. Thank you for sharing this article. really helpful.

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Bryan Eisenberg, founder of FutureNow, is a professional marketing speaker and the co-author of New York Times and Wall Street Journal bestselling books Call to Action and Waiting For Your Cat to Bark and Always Be Testing. You can friend him on Facebook or Twitter.

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