Hit Songs Deconstructed Releases Its Q4-2017 Hit Song Trend Report | Music Think Tank

Hit Songs Deconstructed (http://ift.tt/1RyQW2N) today released its Q4-2017 Trend Report. This report details the compositional and industry trends for the Billboard Hot 100 Top 10.

Highlights include:

• Pop, after dropping to its lowest level of prominence in years with 16% of songs in Q2, rebounded back up to 35% of songs in Q4, and once again surpassed Hip Hop/Rap.
• Hip Hop as an influence remained steady, shaping the sound and vibe of 77% of songs both within and outside of the Hip Hop/Rap primary genre. 
• Exclusively male lead vocals dropped from 70% of the Top 10 in Q3 to 41% in Q4. 
• Male/female duet and group vocals almost tripled in prominence from 13% in Q3 up to 36% in Q4.
• Minor keys continued to further surge in prominence, accounting for 77% of songs.
• Larger songwriting teams were still by far the most prominent, with songs featuring four or more credited writers accounting for 82% of Top 10 Hits in Q4.

For additional highlights from the Hit Songs Deconstructed Q4 Trend Report, please visit http://www.hitsongsdeconstructed.com/HSDQ42017Trends.

 

About Hit Songs Deconstructed:

Hit Songs Deconstructed is your gateway to understanding today’s mainstream music scene at the compositional level, providing you with of cutting-edge tools to stay in tune with current and emerging trends for today’s hit songs.

While there are those who perceive songwriting analytics as a threat to creativity, forward-thinking creatives and music industry professionals understand the importance of being in tune with songwriting trends and view it as a powerful tool that works hand-in-hand with the creative process.

With subscribers spanning hit songwriters and producers, to major labels and publishers, to leading music schools and universities throughout the world, our proprietary data and analysis helps leading professionals hone their craft, spot trends, benchmark songs, and make strategic songwriting, production and business decisions armed with hit songwriting analytics.

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