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QUANTITATIVE ANALYSIS OF SONGS WITH OVER A BILLION STREAMS

Petra Habjanec orcid.org/0009-0008-1790-386X ; Sveučilište u Zagrebu, Zagreb, Hrvatska *
Marina Bagić Babac orcid.org/0000-0003-4979-2216 ; Sveučilište u Zagrebu, Zagreb, Hrvatska

* Dopisni autor.

Sažetak

This research paper conducts an in-depth quantitative analysis of songs surpassing one billion streams on Spotify to uncover trends and insights shaping the music industry. Utilizing statistical methods, including linear and polynomial regression, the study examines song attributes such as duration, energy, release year, popularity, explicitness, genres, and artist popularity. The findings reveal that billion-stream songs span diverse genres, with pop, rap, and hip hop being prominent, and highlight the role of collaborations, alongside trends in song duration, energy, and explicitness. By clarifying factors contributing to streaming success, this study offers insights into listener preferences and evolving music industry dynamics, informing marketing strategies, song creation, and playlist curation for artists, record labels, and streaming platforms.

Ključne riječi

quantitative analysis; music streaming; songs; popularity; genres.

Hrčak ID:

336418

URI

https://hrcak.srce.hr/336418

Datum izdavanja:

30.6.2025.

Posjeta: 681 *