This is the first part of our discussion on how examining exposures instead of spins will help you hear your music rotations the way your listeners hear them. “We play that song all the time,” the sales manager complains. You assure him it’s a huge hit, but deep down, do you wonder if you are … Continue reading How Often Do Listeners Hear Your Hits?
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In case you missed our webinar on October 11th on what Country fans’ streaming behavior can teach you about picking new music for your station — you can now check it out below! You can also revisit the blog series leading up to this webinar: Why Country Isn’t CHR Why Recurrents Are More Important to … Continue reading WEBINAR: Why Country Isn’t CHR
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This is the final post in a three part series examining the differences between Country and CHR. In our previous post, we examined streaming and new music research data to show how Recurrents play a bigger role in Country than in CHR. Now let’s examine what’s at the heart of this difference—the nature of the … Continue reading Why Country Creates a Different Bond than CHR
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This is the second in a three part series examining the differences between Country and CHR. In our last post, we examined Country listeners’ streaming habits to show how new Country hits take longer to grow, peak and decline than CHR’s big hits typically do. What happens after a big hit’s initial run as a … Continue reading Why Recurrents Are More Important to Country Than CHR
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This is the first in a three part series examining the differences between Country and CHR. A lot of programmers who built their careers in CHR have made the move to Country. Bringing CHR-style imaging, engaging promotions and fresh personalities has helped Country stations topple heritage competitors, reinvigorate brands and attract younger listeners since the … Continue reading Why Country Isn’t CHR
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Unlike Spotify and YouTube, who have shared their spin counts with the Nielsen-powered Billboard charts for years, Pandora has been uniquely secretive about the songs they spin most. However, starting in August, the internet radio juggernaut finally started sharing information about the songs and artists they play with three different charts: The Pandora Trendsetters Chart … Continue reading Three Things You Need to Know About Pandora’s Charts
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In our last post, we explored the fall and rise of Hip Hop, shown as Hip Hop’s share of the top 10 songs on the Billboard Hot 100 each week. Although Hip Hop’s appeal has rebounded back to 2008 levels after reaching a low point in 2012, there are three fundamental differences between Hip Hop’s … Continue reading Three Reasons Today’s Hip Hop is Different Than Yesterday’s
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In 2012, a flurry of articles began appearing in the music press asking, “Is Hip Hop dead?” Most articles simply bemoaned the lack of authenticity of the genre’s good old days, or complained it was becoming “too white,” but a few articles actually cited data. Did you know not a single African-American artist hit #1 … Continue reading The Fall and Rise of Hip Hop
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In our last post, we outlined three reasons you should examine streaming data to help pick new music. Before fully embracing streaming data as a new secret weapon, here are five limits to what you can learn from streaming: 1) Streaming data only shows the positive, not the negative. There is a fundamental difference between … Continue reading The Limitations of Using Streaming Data to Pick New Music
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While many radio programmers use sales, Shazam and Mscore alongside their new music research to gauge which songs are most popular with their audience, examining what songs listeners are streaming isn’t as commonplace—and we think it should be. The fact is, music sales are declining, both for physical CDs and for digital downloads on services … Continue reading How Streaming Data Can Help Radio Pick New Music
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