Drawing a Line Between Data in Sports and Marketing

Last spring, Kim Larsen did some analysis around the NBA finals and posted it on LinkedIn

He was predicting probabilities and trying to guess how things would go, and, as it turned out, his predictions were more accurate than you might think. His posts got a lot of attention because of this. 

In fact, his numbers were so accurate, he was able to predict who was going to win.

Of course, this wasn’t very surprising to us. After all, we work in the data industry, and we know it can make some pretty accurate predictions.

And, because we wanted to dive further into this, we thought we’d bring him on to discuss the subject!

Yes, you’ve guessed it; in this week’s episode of Data Unlocked, Jason will be sitting down with Kim Larsen, SVP of Business Data Science at WHOOP.

Kim has been working in the data science industry for the last two decades. He’s done consulting and data work for B2B and B2C companies all over the world, such as Uber, Stitch Fix, Charles Schwab, and more.

Today, he’s lending his expertise to WHOOP.

WHOOP is a tech company whose mission is to unlock human performance and help people reach their ultimate physical potential. They do this through services such as WHOOP APP and products like WHOOP 4.0 band.

In this episode, Kim discusses WHOOP’s work, using data to predict and model sports outcomes, the difference between sports predictions and customer predictions, and more.

Ready to learn?

Let’s dive in.

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