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.
It’s campaign time again. Normally we behaviorally target content to users based on their application stage.
We know from previous tests that this 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.
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.