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PANDORA + IMMERSION

We showed how a 1% increase in value would generate 53% more streams of a song.

Every day, 24,000 new songs are released worldwide. Every day. That's 168,000 new songs every week.

PROJECT INFORMATION

PREDICTING HIT SONGS WITH PANDORA MEANS MORE THAN A THUMBS UP. 

People are drowning in choices and music labels have an increasingly difficult time identifying which songs might be hits.  The inability to predict hits means that artists are often underpaid for their work and music labels misallocate marketing dollars when seeking to build audiences for new music. 

The music streaming service Pandora integrates new music into users’ playlists and asks uses to rate whether they like or dislike new songs.  

Mostly, people like new music that is similar to their current musical tastes.  Pandora still faces the problem of choosing which among the plethora of new songs to add to their 63 million users' playlists.  Among new releases, just 2% will be hits and many of the others will have an audience of 10 or fewer people—just the band and their families.

Immersion had previously identified hit songs one month before their release with our partner Steereo by measuring the neurologic value people got while listening to several unreleased songs.  We applied a similar approach predict hits in a collaboration with Pandora.

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Pretty awesome, right?

You should download the full case study and send it to a friend. A little neuroscience goes a long way. 

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THE STUDY

Pandora chose 24 recently released songs for the study that included rock (Girl In Red "Bad Idea"), hip-hop (Roddy Rich "The Box"), and EDM (Tonnes and I "Dance Monkey") genres. The songs had been on Pandora's platform for an average of 6.6 months.

The number of listens varied from 4,000 (NLE Choppa "Dekario") to over 32 million ("Dance Money").   In collaboration with Pandora's staff, we identified 12 songs that had more than 700,000 song plays that were judged to be hits.

Immersion recruited 33 people to listen to all 24 songs in random order.  Participants were mostly young, with an average age 24, and were balanced between men and women.

24 Recently released songs
83% Accuracy in predicting hit songs
53% Increase in streams

THE RESULTS

Immersion's data scientists first analyzed the predictive ability of self-reported "liking" of songs.  Participants reported that they "liked" familiar songs more than unfamiliar ones with a nearly perfect correlation of 0.87.  This is how hits are made: the more people hear a song the more they think it is good.  Remember the song Macarena?  It was a breakout hit in 1996.  But, by 2002, VH1 ranked Macarena as the number one "awesomely bad" one-hit wonder.  (I bet you the Macarena chorus is playing in your head right now). 

For music people had not heard before, self-reported "liking" had zero predictive power. "Liking" simply does not predict hits for new music.  If it did, music distribution platforms would only need to ask people what to play. 

What about brain activity? A combination of neurologic measures from the Immersion platform, including a song's average immersion (Value Score), its peak moments, and the number of neurologic 'superfans'  for the song, predicted hits with 83% accuracy.  Put differently, Value Measurement correctly identified 10 of the 12 hit songs that Pandora gave us using only neurologic data.

To ensure that our hit predictions were not just due to random chance, we also predicted other market measures of hits, including the number of plays of each song and the number of days the song had been on Pandora's platform. Song plays were positively correlated with a song's average Value Score (0.23) and peak moments (0.39), and negatively related to low points of value (-0.20).  Self-reported “liking” was uncorrelated song plays.  The number of days the song was on the Pandora platform was highly correlated with its average Value Score (0.45) and the number of neurologic superfans (0.38) and a negatively associated with low value (-0.26).  Value Measurement predicts the hits when self-report cannot.

We analyzed the data to measure how an increase in value drives additional streams.  The analysis showed that a 1% increase in value would generate 53% more streams.  This means that if a song was moderately successful with 200,000 listens but had been edited to increase its value 5%, it would gain 530,00 more streams.  This would move it from "just OK" to a legitimate hit with over 700,000 listens.  Then the familiarity effect takes over and the song tops the charts.  That is the impact of neurologic value on market responses. 

Learning #1

Immersion's clients in the entertainment industry use our platform to create hits.  When it comes to music, people like familiar songs.  This means that retrospective market research will predict familiarity, not hits. 

Learning #2
For new music, "liking" is unable to predict hits, yet measuring real-time unconscious neurologic value is not only statistically predictive of hits, but highly accurate.  
Learning #3
Immersion can also guide music producers when deciding which bands to invest in during the music creation process to increase the likelihood of hits, and even identifies how to position music on streaming platforms and stations.
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paul-quote
"No technique to predict entertainment hits has even come close to this outcome. As a result, a number of music producers use Value Measurement to help new artists create hits and to identify the best use of their marketing spend to support songs more likely to be hits."
Paul ZakFounder

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