Codebreaker

Machines will help pick out the next big pop song

John Moe Jun 22, 2011

Scientists at Emory University have found out how to predict a product’s popularity – and when I say product, I mean teeny-bop music. The researchers took MRI scans of teenagers who listened to songs on myspace. Then they let the data sit for a few years.

From Scientific American:

During that time, the songs did what songs will do. A tiny percentage became extremely popular, a handful more became somewhat popular, and the overwhelming majority went nowhere. After tallying the sales information for each song, the scientists essentially took a shot in the dark. They re-examined brain areas associated with song likability years ago, and asked if activity in those areas predicted a song’s eventual success.
For one area — the nucleus accumbens – the answer was yes. Though it certainly didn’t distinguish between hits and duds with dead-on accuracy, more activity in the accumbens was loosely predictive of higher sales.

Even though there’s a lot more work to be done here to get any solid conclusions, it’s a big step for neuromarketing.

There’s a lot happening in the world.  Through it all, Marketplace is here for you. 

You rely on Marketplace to break down the world’s events and tell you how it affects you in a fact-based, approachable way. We rely on your financial support to keep making that possible. 

Your donation today powers the independent journalism that you rely on. For just $5/month, you can help sustain Marketplace so we can keep reporting on the things that matter to you.