I used to run websites for a living.

I was responsible for the performance of those sites, and I was the de facto “web analytics guy” within my company.  But I wasn’t a full-time Web Analyst, and I had lots of other strategic and operational things to do.

Sound familiar?

When I did look at my web analytics, I often skimmed the information contained in my default “dashboard,” and rarely dove into the real data unless someone came to me with a specific question, or I had to produce a report.

There’s an obvious downside to that approach: The data in the dashboard is very “averaged out” and may lead us to miss more specific data points that we can leverage to do a better job.  But how do we get at the juicy money making data, while not spending too much time getting buried in minutia?

The solution? Scheduling in regular, recurring “data dives” to make sure you are not getting addicted to the dashboard view of your website.  Maybe start with once a week, and put it in your calendar. (If you don’t you’ll likely never find the time ☺)

Note: I am using Google Analytics in these examples because of its ubiquity, but they should all be applicable to any modern web analytics system:

Here are 5 tips to get you started:

1. Instead of the default “last 30 days” view of your analytics, try exploring different extended date ranges.  For example, I used to keep a rolling, 90-day dashboard.  Using the “timeline” function in the date selector tool is good for this.  So is selecting “date range” in the comparison dropdown menu; that way you can compare the same date range in the prior year, for example.
2. Make sure you assign goals and dollar amounts to every conversion on your site.  Most sites have a primary conversion like becoming a lead, subscribing, or purchasing, but micro-conversions are important, too.  Tag your primary conversion goal with your average order value, your lead conversions with a value per lead, etc.  For micro-conversions, figure out what percentage of your visitors that take that action eventually leads to sales.  If 1% of blog subscribers turn into deals, and the average deal is worth $500, then that micro-conversion goal value should be $5.
3. Explore the Traffic Sources reports to get a better understanding of your traffic “mix.”  Segmenting by traffic source can often yield quick, actionable insights.  Try looking at your organic traffic over the last 6 months, or your referral traffic over the last 3 months.  What does the traffic graph look like?  How well or poorly are they converting?  Has that KPI remained consistent?
4. Dive into your Top Content reports, and try sorting by “$Index.”  Note: This value is only calculated if you’ve assigned goal values and e-commerce revenue values across your site.  And believe it or not, there are ways to assign e-commerce values to your site pages even if you’re not running an e-commerce site.  $Index calculates the values of pages according to how often they’re accessed en route to a conversion.  It works kind of like the plus/minus point system used in the NHL.  If a player is on the ice when a goal is scored, they’re “+1,” and if they’re on the ice when a goal is scored against, they’re “-1.”  So if a page is very regularly visited by customers who convert, it will have a high $Index value.  It’s a great way to figure out which high-impact pages you should start testing and optimizing.
5. If you have site search, spend some time hooking your web analytics up to your in-site search, then dive headfirst into the very valuable data the Site Search reports can provide.  Are you able to see which keywords are delivering “zero results”?  What keywords are being used most often in search?  Are visitors who search more likely to convert?  Do they spend more per transaction?  Are there products are services your visitors ask for that you don’t offer?  Should you?

I know there are more handy tips around, but I limited this to 5 because I’m sure our readership has some brilliant ways they can share on how to do healthy and productive “data dives.”

And if this was useful, let us know, and maybe we’ll do a part two.

One final note:  Data diving is healthy and fun, but just remember to come up for air once in a while ;). Even more important, don’t let the stuff you learn from your analytics just sit there, turn your learnings into action and let’s move our conversion needles together.

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As a self-professed tool junkie, I’m a sucker for shiny new tools. I love tools of any kind — Web tools, software tools, and on a Sunday morning you might even find me in the Brooklyn Home Depot wiping the drool from my mug as admire this fine kosher beef grilling tool.

No doubt, these are exciting times if you love Web tools. For the many folks who are dizzy trying to sort out conversion optimization tool choices, it might be a little frustrating.

In “The Interactive Marketer 2.0,” I made the case for improved optimization in interactive marketing and to think outside the campaign. I listed several steps to get started, including the first step: Get good at free tools, then pay for them. Tools aren’t the indicator of success, but having a process and the people in place to take action are.

The good news in this barrage of 2.0 goodies is that many believe we’ve finally reached tool parity in the Web analytics space. JupiterResearch states the following:

“Despite some small skirmishes over capabilities like video and audio measurement, the Web analytics feature race is largely over,” explained John Lovett, Senior Analyst and lead author of the report for JupiterResearch. “Leading vendors will forge ahead by making data accessible and actionable while expanding offerings into adjacent marketing technologies.”

I agree.

Several people have accused me and my firm of having a Google bias. (Full disclosure: FutureNow is an authorized Google Optimizer consultant.) This simply isn’t true. A sizable percentage of our clients use other tools like Omniture, WebTrends, and Coremetrics. Our policy has always been to work with the analytics/tool vendors of the client’s choice. For many who are just getting started or are experiencing a marketing budget squeeze, the free and robust Google offerings simply make sense. Others have found a need for features available in other tools, and we’re happy to help them use those tools better.

A tool is just that, a tool.

A tool doesn’t persuade your visitors to take action, nor is it exclusively responsible for a company’s success in optimization. So when a client approaches me requesting a tool suggestion I always answer the same. If you have a tool in place now, use it better. If you don’t, start with something free and get good at using it.

A free tool may be all you need. While certain analytics vendors offer what are considered enterprise-level tools, the free and lower priced solutions are typically labeled for use by small to medium-sized businesses (SMBs). Still, you’d be surprised at the number of large clients who are satisfied with free or cheaper tools. And, we also have several SMB clients that have more sophisticated needs.

Bottom line: don’t get hung up selecting a tool. Any business, no matter the size, that isn’t optimizing today can extract great value from any tool on the market today. The important thing is to get started optimizing and measuring more effectively. There are no more excuses, not even a lower optimizing budget.

Which brings me to my next point. How does one use a tool effectively? You must operationalize it. Your process must lead your team to take an action, e.g., make a change that you can measure. Lastly, you must be able to gain insight about customer behavior from the data. And, you must do this over and over again. Without those three things in place, no tool will usher in the success you seek.

You must always do the work of optimization. A better treadmill won’t, all by itself, trim your love handles. Likewise, a cheap camera in the hands of a skilled photographer will always take better pictures than one used by a clumsy newbie.

A tool is a tool is a tool. Pick one, learn how to use it effectively, and you’ll see optimization success. Then we can talk about what other tools you might need.

Then we can all afford drool worthy gas grills in our backyards.

*Cross-posted on ClickZ.

. .

Editor’s Note: If you’re buried in data and looking for a better process to keep your campaigns customer-focused, accountable and metrics-driven, contact us today for a confidential and free consultation.

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What’s hot and exciting in customer research? A neurological breakthrough? A fancy new psychological tool? Nope - Analyzing text. That’s right - analyzing what people say.

A recent Advertising Age article, What All That Chatter Is Really Saying, talks about how text analytics can turn customer feedback into more meaningful insight.

Today it is marketers who are increasingly turning to text analytics to mine information from the mountains of customer data they’ve accrued from customer-service surveys, e-mails, online forums, hosted feedback sites and user-generated blogs.

“You can have someone read through 100 comments, and they will likely overstate the importance of some concepts, understate the importance of some concepts and totally miss other things,” said Tom H.C. Anderson, managing partner, Anderson Analytics. “For instance, if one person in 100 mentioned something, it would be missed. But if in 100,000 responses, 1% of people say the same thing, it could be noticed as important, like a new trend that’s developing or something wrong with a product that’s just starting to surface.”

So what are these companies learning? Unilever’s Dove brand is using text analytics to gain insight into who their customers are and what really matters to them.

In recent work for Unilever’s Dove brand and its Pro-Age marketing campaign, Anderson went digging for consumer insight on Dove’s own message boards, coding the text content against 43 different psychological attributes. Anderson found the vast majority of women who posted comments appreciated the realness of using older nude models. But they also discovered other common sentiments. For instance, most women over 50 strongly dislike the concept of “perfection” in beauty images. They also often talked about their mothers, grandmothers and daughters with concern about their portrayal in media. In fact, two in 10 women expressed real anger at how other advertisers portray women.

“Text analytics is a new methodology for us, and we were very pleased with the results and the depth of insight,” said Catherine Cardoso, associate insights manager at Unilever, in a statement. “The results were helpful beyond understanding reactions to our campaign. We also gained an understanding of what motivates people on discussion boards, which issues are most important to women in our target group, and how to create better products and messaging for them.”

Interesting stuff. At FutureNow, an important part of our persona development work is assigning value words to each persona - these are words personas may be typing into search engines, may use to describe their problems or the solution they are seeking, or may be words that appeal to their buying modality.

How do we determine these value words? One of our secrets is mining the text of customer correspondence, blogs, and live chat logs.

What are you doing to use your customers’ words to better understand who they truly are and what they truly want?

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Three conversion metrics tips that help you optimize your online efforts

Gone are the rose-colored-glasses days of “Gee Whiz.” Return on investment is the imperative. Your bottom line depends on your ability to market intelligently. And your ability to market intelligently depends on the accountability you design into your online efforts. As Jim Sterne of Target Marketing wrote for us, “There is no such thing as a perfect website, there is only … change. Do not expect to ever reach the final version of your site. You want people to buy? Keep trying things and measuring the results.”The underlying beauty of a conversion system based on the principles of Persuasion Architecture lies in its accountability. For Call to Action, Jason Burby, Director of Web Analytics for Zaaz, offered these “number tactics” to help you shape the accountability of your conversion system.

Jason writes:

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