At Summit, you might remember Bret Gundersen introduced Derived Metrics and showed a few examples. What are they? What are some use cases? Check out Derived Metric Sorcery here.
Do you want to know more about your audience and how engaged they are when they visit your site?
Find out how to create a calculate metric in Adobe Ad-Hoc Analysis (formerly Discover) that will provide you with some great insights, and it’s dead easy to use.
Discover v3 is out and I can guarantee it will make you wonder how you ever lived with out it.
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.