Segment Your Way Out of Sadness

  |  July 31, 2009   |  Comments

You don't need to be an analytics ninja to set up a few helpful segments. Remember, metrics based on averages produce average results.

Last 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.

Meet Bryan at Search Engine Strategies San Jose, August 10-14, 2009, at the McEnery Convention Center.

ABOUT THE AUTHOR

Bryan Eisenberg

Bryan Eisenberg is co-founder and chief marketing officer (CMO) of IdealSpot. He is co-author of the Wall Street Journal, Amazon, BusinessWeek, and New York Times best-selling books Call to Action, Waiting For Your Cat to Bark?, and Always Be Testing, and Buyer Legends. Bryan is a keynote speaker and has keynoted conferences globally such as Gultaggen, Shop.org, Direct Marketing Association, MarketingSherpa, Econsultancy, Webcom, the Canadian Marketing Association, and others for the past 10 years. Bryan was named a winner of the Marketing Edge's Rising Stars Awards, recognized by eConsultancy members as one of the top 10 User Experience Gurus, selected as one of the inaugural iMedia Top 25 Marketers, and has been recognized as most influential in PPC, Social Selling, OmniChannel Retail. Bryan serves as an advisory board member of several venture capital backed companies such as Sightly, UserTesting, Monetate, ChatID, Nomi, and BazaarVoice. He works with his co-author and brother Jeffrey Eisenberg. You can find them at BryanEisenberg.com.

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