Category Archives: Web Analytics

WAA Certified Web Analyst

The Education Committee of the Web Analytics Association is pleased to present the Knowledge Required for Certification document to the Web Analytics community for comment.  This document contains a detailed overview of what a candidate should know and be able to do to pass the Web Analytics Association Certification Test:

Knowledge Required for Certification Page

The document is available as a 37 page PDF or you can view it online as a series of web pages organized around core topics:

Site Optimization
Marketing Optimization
Analytical Business Culture

Feedback on this doc is welcomed on the WAA Blog post for the document; you do not have to be a WAA member to leave a comment.  An overview of the Certification Test project and projected timeline info are provided here.

We’re hoping to do a trial run of the Certification Test at the eMetrics Optimization Summit this fall in DC to uncover problems and issues, with actual testing to begin some time in 2009.

Many thanks to the more than 60 WAA member volunteers who worked on the various projects that have resulted in this document, including the development of the WAA / UBC Courses.  You don’t have to take the Courses to sit for the Certification Test, but all the Knowledge Required to pass the Certification Test is covered in the 4 WAA / UBC Courses.

Any comments or questions about the document itself (what is or is not included, for example) or the WAA Certification in general should be posted to the WAA blog rather than here.

Frankly, I’m relieved this document has finally been published!

Jacques Warren @ TDWI

Those of you interested in where web analytics is headed might check out the series of posts Jacques Warren in doing from TDWI (The Data Warehousing Institute) conference.  He’s in for a pound – an exhausting 6 days of high order brain-stuffing, much of it very technical in nature.

I believe most web analysts, if they didn’t come from DW / BI in the first place, would benefit tremendously from the kind of exposure Jacques is receiving at TDWI.  There is a larger scope sitting out there that WA fits into, and the DW / BI world has been around a lot longer.  Those folks have all the arrows in their backs already, and there is a lot to learn from them.

For example, the extent you believe what you see in web analytics reports actually happened, or whether you understand it is often an approximation of what happened, more like a model.  At least from a Marketing / Behavior standpoint.  A dose of reality like Jacques received can put this in perspective.

The very next question on the table is how do we get WA data into BI systems?  The answer, I believe, is Events.  There is really no point in stuffing page views and visits into a data warehouse; not enough value and won’t mean much to the broader Optimization picture. 

What the WA folks will have to do is decide what constitutes a significant Event (which could be a series of smaller actions) and then figure out how to mark that Event with a customer ID and get it into the warehouse. 

Some web analytics applications can already track Events (example), so that’s not the issue.  The question, as always, is what are you going to do with the Event?  Otherwise, it’s not worth tracking.  What’s needed is a Strategy for using high value Events first.

Otherwise, we’ll just end up with that many more junk reports.

At the same time, I think the more exciting prospect than what BI brings to WA is what web analysts can bring to BI, which continues to suffer from a focus on the technology instead of what they can do for the business.  While many WA folks understand the need to annotate and evangelize their work, many BI folks don’t see “being proactive” as part of their role.

I have to tell you, if you think WA and Optimizing web sites is exciting, wait until you get your hands on the entire business and start optimizing it.  Your first A/B test with a call center script, for exampleFulfillment testingPackaging.  The list is endless.

That experience, my friends, is pure adrenaline.

I know some of you out there are already wearing both the WA and BI hats.  Got any killer Business Optimization stories (that you can tell?)

eMetrics 08 (SF)

As opposed to eMetrics 08 Toronto, don’t you know…

A really big shew, for sure. 

With the tons of WAA EdCom stuff going on, and the tremendous opportunities to just run into people in the halls and have hour long spontaneous “shootouts” (thanks for your help with “The Cluelessness of Crowds), it can be difficult to get to all the sessions I want to see.  

Still, I always try to catch sessions outside of the mainstream that look interesting.  Often nobody comments on these overlooked sessions, so I like to bring them to the surface.

The presentation by Egan van Doorn of the Dutch Automobile Association (ANWB) called Connecting Web Analytics with Decades of Marketing Metrics was such a session. 

Here, the beauty was in the simplicity and purity of the approach.  Classic Database Marketing – the targeting, the pacing.  No breathless monthly or weekly blasting of the same message to every customer.  No, to each customer the right message at the right time.

ANWB works with the understanding the calendar doesn’t matter nearly as much as the customer’s individual behavior.  When the customer is ready, they say so.  It’s all about Pull – gently bringing them to you, not beating them over the head.  Context, relevance; what they want, when they want it, while they are interested in it.  Like Search, right?

Web analytics folks often view multi-channel ideas as too complicated, and they’re really not – if you are using the right methodology and if you have some discipline.  Apparently, ANWB has both.

From a Marketing perspective, ANWB pays close attention primarily to high value online events.  Forget page views, visits, etc.  What they want to know is this: what action was taken for which we have a related product?  They store these events in the customer record, and then play out the online / offline Marketing stream accordingly.  If they can reach them online, that’s obviously cheaper.  If they decide to go offline (in the mail) they have their timing issues down and they make it happen. 

Very efficient, highly productive.  Huge increases in response rates, even offline when using online behavior to trigger the Marketing event.  Classic Database Marketing.  And there’s a reason they are so good at this – they’ve been doing the same thing offline forever.

If you can make money doing this offline, you can make an absolute pile of money doing it online because the Marketing is so much cheaper.  The problem is, most online folks don’t have access to that Database Marketing background, the understanding of how to optimize remote relationships.  So instead of playing it as Database Marketing, they play it like Media (Push) Marketing.  And they get unremarkable results.

How simple is it to do multi-channel right? 

Here’s an example, courtesy of ANWB.  Customer comes to the web site.  Customer searches for and finds info for “bike and hike” trails.  When this happens, customer is shown banners offering a “Bike and Hike Trails of the Netherlands” book during the rest of the visit.  Customer maybe buys the book.

Or not.  If they don’t, and waiting a reasonable amount of time for the sale to occur online, ANWB goes in the mail with an offer on the book, and then later on, a modified offer in the mail if there is no response.  Customers buy scads of these books.  Enormous ROI, both online and offline. 

Then repeat this scenario with every product line – what is the trigger event, what is the timing?  Man, that’s a beautiful business they’ve got going there.  Just printing money.

They do have one advantage – as a membership org, each customer has a unique ID, offline and online.  This was raised as an “unfair advantage” in terms of their success.  Disagree. 

Megan Burns of Forrester said as much in the 2nd half of the presentation.  The reason people don’t usually factorize to do this kind of stuff is they can’t project the ROI, they don’t know what they would do with a unified view of the customer to generate incremental profit.  So they can’t justify spending the money to make it happen.

This is really the same Push versus Pull issue I mentioned before – as long as you batch and blast, as long as you keep using the offline Push model, there’s no point in understanding any of this multi-channel stuff.  When you get ready to accept that the behavior of the customer is your key to relevance, and test through a couple of scenarios (as all offline DB Marketers have done), the ROI of the offline / online join becomes self-evident and justifies the spend to set up for it.

Wait a minute, you say – there’s no reason anyone would want to log into our web site.  Oh.  But now you are into Marketing Strategy.  Not the same issue.

Why won’t they log in?  Let’s say you don’t think you can get people to “log in” so you can create a database match.  Here’s the real question – have you conceived an experience for your web site that is worth a log in?  If the experience is worth it, people will log in, and you will have a database match.

That’s Marketing, my friends.  It’s not just about the “Push” MarCom stuff.  It’s the Strategy, the whole picture that creates the Pull that is so incredibly powerful. 

This is what makes interactive different.

Let’s assume you think I am wrong, that what I’m saying couldn’t possibly be true.  After all, how could so many people get interactive wrong?  Wisdom of Crowds, right?  After all, look at all the folks who got it so right in 2000 (not).  THAT was a Crowd.  This Jim Novo, he’s just pushing the ideas in his book.

OK, fair enough.  Here’s another voice that has been added to mine.  More on Akin’s book in the future – I’m only 1/2 through!