With all of this data flying around, we can do some pretty nifty things with visitor scoring, if we think beyond just a flat score. Think about scoring them on multiple levels to separate the “nearly’s” from the “maybe’s”.
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.
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.
Now, there’s a hot topic. Measuring engagement. One of the most widely debated topics in web analytics.
What is engagement and how do we measure it?
Engagement, unfortunately, is not derived from a single measure. It’s not time on site. It’s not how many pages they viewed. It’s not bounce rates and it’s not about conversions.
Engagement is about a lot of things. What is an engaged visitor and how do you measure engagement?