I’ve come across a few clients now that either aren’t using SAINT, are using it in a limited way, or are using it for campaigns only. Maybe people are confused by what it does, or daunted by it, or just don’t know what it can be used it for. It’s got uses that extend way beyond campaigns.

So, in this post, I’ll re-cap a bit about what SAINT actually is, and how it can be used, across a whole multitude of things.

This topic was requested by one of my readers – thanks for the inspiration Dan.

And it comes back to segmentation. And the value derived from measuring your customers/members behaviors across your digital channels, and the impact they could be having on your conversion rates if you don’t segment.

Well, it’s August and true to their word, Adobe upgraded us to SiteCatalyst v15 on the 1st, and so I thought I’d share a few of the golden nuggets within v15.

I was thinking about how to order them…do I go by not bad to flamin’ eck, that’s awesome? Or start with the big bang and then let it continue to smoulder throughout?

The problem is there are too many new and great features that you can’t really put them in any type of order. They appeal to you on different levels, from functionality, to UI, to analysis, to reporting, to combination segmentation and sub reporting.

So I promised that I would finally put fingertip to keyboard and talk a little bit more about using Visitor Scoring…to finish up the series that I started a while ago.

If you’ve read my previous posts, you’ll know that we implemented a series of metrics for engagement measurement, culminating in a per-visitor score.

I wanted to share with you some of the insights and benefits of doing all of this, particularly in Discover.

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 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.

Here’s a real humdinger with you.

It’s campaign time again. Not just any old campaign; it’s our main recruitment campaign of the year.

What we normally do on this campaign is behaviorally target content to users based on their application stage.

Why? Because we know from previous tests that behaviorally targeting content for re-engagement purposes not only lifts our application completion rate, but provides more relevance to the user when they visit our site – instead of just seeing a standard campaign message each time. And relevance is proven to lift conversions.

But this time, the gates of hell opened and out rode the fifth horseman…with a complicated double somersault backflip twist.

One of the most powerful ways to enable an audience connection is through behavioural segmentation.

Many companies today segment from a business standpoint. Don’t get me wrong, this is a good strategy and aligns your measurement and optimisation strategy with your business segmentation model.

Customer / non-customer segments. Product A owners / product B owners. Mosaic-based segments. Geographic segments. Lead / Non-lead segments. These are all typically business-based segments, and you should definitely be segmenting using this methodology if your overall business does.

But I think there’s a higher level of segmentation – behavioural segmentation. Read on to see how we easily achieved this.

We’ve all got forms on our websites. And chances are, you have multi-page forms. But, do you know how they’re performing? Do you know where people are abandoning your forms? If you knew that, what could you do? There’s lots of ways to track forms but they vary depending upon what you need to accomplish. Multi-page forms, which are very common these days, are slightly more complex from a measurement standpoint, but you definitely want to get some insights into these types of forms. In this post, I look at various ways to review form abandonment, from SiteCatalyst Fallout Reports, to using Discover Fallout Reports, to the Form Analysis plugin.

One of the fundamental things you need to understand about Omniture SiteCatalyst is the difference between an s.prop and an eVar, and just what events are and when to set them. They are at the heart of the product and provide the ability to customise it to suit your business needs.

If you don’t understand the difference, you’re going to be in a world of pain, and left dazed and confused.

This is, understandably, the most confusing thing to new SiteCatalyst users, and they take a bit of getting used to, especially when you start to combine them all together, but once you understand them, you’ll be on your way to generating custom ones that can really provide insight. Hopefully this post will help out in some small way.