Research: How Shazam Can Help You Predict The Hits
May 25, 2016 at 12:33 PM (PT)
INTEGR8 RESEARCH's continuing study of SHAZAM's track record of predicting hits found that 94% of the songs that rise to its Top 10 ultimately become at least Top 30 hits (NET NEWS 5/18). In its latest post, INTEGR8 breaks down exactly which kinds of songs SHAZAM can help radio stations spot early.
Based on its track record in 2015, SHAZAM can help spot hits that are sonically at the edges of Top 40’s typical sound. It is particularly effective at helping spot EDM/Dance-oriented songs well over a month before they become big hits on traditional charts. JASON DERULO's "Want To Want Me" went Top 10 on SHAZAM five weeks before the BILLBOARD HOT 100. SKRILLEX, DIPLO & JUSTIN BIEBER's "Where Are U Now?" went Top 10 on SHAZAM seven weeks before the BILLBOARD HOT 100.
SHAZAM can also help spot crossover hits from other formats, especially Alternative and Hot AC. ED SHEERAN's "Photograph" went Top 10 on SHAZAM nine weeks before it hit the BILLBOARD HOT 100, as did ELLE KING's "Ex's And Oh's."
So far in 2016, SHAZAM has been able to spot several early hits that fall into these categories of being outside of CHR’s typical pop-oriented sound. THE CHAINSMOKERS' "Roses" went Top 10 on SHAZAM six weeks before the BILLBOARD HOT 100, as did ALESSIA CARA's "Here."
The research also explores why people SHAZAM a song in the first place -- because they want to know the name of a song and who performs it. For EDM and Dance tracks where the DJ is the star, it is often impossible to identify them based on the vocals, whereas a well-known Pop star may be easier to identify by ear. A big SHAZAM response for a song only airing on Alternative or Hot AC can indicate a song has broader appeal beyond the format that introduced it, particularly if it’s a new artist.
Once listeners know a song’s name and artist, they stop SHAZAM'ing, no matter how much they love the song. That’s why SHAZAM can't tell when a hit song has run its course with an audience the way customized new music research can.
This distinction not only explains why SHAZAM is effective at spotting certain styles of songs early, it also explains why it fails to detect other styles of songs early.