While this might be a quickie, it’s a biggy. A big one in terms of the amount of data just uploaded through SAINT. In fact, we’ve just uploaded around 1 million rows of data, with 6 columns per row.

And it didn’t even blink! Gotta love that!

So why do we have a million rows of data?

Customer segmentation of course.

This is the third (but not final) post in the series on Visitor Engagement. One of the problems with the Visitor Scoring method that I previously described, is that, at the end of the day, you’re still somewhat limited to viewing scores at the “average” level, by segment.

That presents a number of challenges because the average is precisely that…and the underlying scores vary dramatically within each segment.

But there is a way to see what each and every visitor score is, or even within the different segments…and it’s called the Unique Visitor ID. You can see at the visitor level, how many times they’ve returned, how many “things” they’ve done, such as searches, product views, revenue etc.

This is really the icing on the proverbial cake.

This is a follow on post to my previous one about measuring that elusive engagement. This post focuses on the aspect of applying a score to visitor interactions, as they interact with your content and applications.

Visitor scoring is fairly simple – especially in SiteCatalyst, and by leveraging the data in Discover through segmentation, (and ultimately in SiteCatalyst 15), it’ll give you even more insight into visitor engagement.

Visitor scoring measures and assigns a relative value to individual customers and prospects based on their actions and behaviors over time. You can determine intent and engagement – even before visitors convert.

Once you’ve identified your most valuable visitors, you can dissect their actions to determine the campaigns, keywords, referring sites and offline touch points that engage them – and invest more on these efforts.

One of the nice things about Omniture is the ability to export information out to other systems. We use this feature to generate tag clouds on our site, based on the most popular courses viewed over the last 30 days, segmented for different audiences.

Search is a veritable gold mine that is frequently ignored.

I’m not talking about Search Engines and Keywords, I’m talking about your internal search. Providing you track internal keyword searches, you can gain a wealth of understanding.

Internal search is generally used as a quick wayfinding method, highlighting areas of content that are well used, but are not readily available. And more often than not, it’s seasonal as well.