Many independent songwriters and music producers toil day and night to create music that they hope will make their way into the mainstream. But depending on your chosen genre, you might be facing a great deal of competition for a limited number of spots on the global charts.
In this article, we tagged and compared genre distributions between two sets to identify ‘overrepresented’ and ‘underrepresented’ genres.
We further put our Hit Potential AI to the test – this time with a larger sample size of 14k tracks.
There are many tempos for songwriters and producers to choose from. Is there a way to know which ones are most likely to lead to a commercially successful work? We studied a total of ~6000 songs and uncovered some striking tempo choice trends.
Chartmetric’s Trigger Cities were driven by rigorous analysis of user behavior. The question is, are there any underlying, purely musical factors driving this behavior? We use our AI to investigate.
What makes a hit? We used our Hit Potential algorithm to analyze two commercial hits – Dynamite by BTS and Girl Like Me by Black Eyed Peas and Shakira – by the second.
Many commercial music decisions are made based solely on gut feel. But given that 21m+ tracks are released on streaming platforms yearly, A&R executives know what it’s like to be inundated in low quality demos. The question: Can an AI be trained to help in this process?