How to make a hit: factors associated with music consumption on Spotify

Digitalization has transformed the cultural consumption. The analyses sought to enhance the understanding of consumers’ preferences in the music market, which has been significantly transformed by the rise of streaming in recent years. Thus, in this study we aimed at comprehending the characteristics of the most listened-to songs on digital platforms and explore the factors that lead a song to become a hit on Spotify. Data were directly obtained from the platform using the Web API tool provided by the streaming service itself. The used dataset comprises 562,453 songs released between 1922 and 2021, considering data from listeners and artists worldwide. Analyses were conducted using a zero-inflated negative binomial model to investigate interactions between different indicators available on Spotify (audio features) and the popularity of tracks on the platform. On average, songs with higher values for the explicit, danceability, and energy variables demonstrated greater popularity on Spotify.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How to make a hit: factors associated with music consumption on Spotify

SHILAP Revista de lepidopterología
Astrophysical Phenomena and Observations
article

How to make a hit: factors associated with music consumption on Spotify

article en

Abstract

Digitalization has transformed the cultural consumption. The analyses sought to enhance the understanding of consumers’ preferences in the music market, which has been significantly transformed by the rise of streaming in recent years. Thus, in this study we aimed at comprehending the characteristics of the most listened-to songs on digital platforms and explore the factors that lead a song to become a hit on Spotify. Data were directly obtained from the platform using the Web API tool provided by the streaming service itself. The used dataset comprises 562,453 songs released between 1922 and 2021, considering data from listeners and artists worldwide. Analyses were conducted using a zero-inflated negative binomial model to investigate interactions between different indicators available on Spotify (audio features) and the popularity of tracks on the platform. On average, songs with higher values for the explicit, danceability, and energy variables demonstrated greater popularity on Spotify.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 50%
Astrophysical Phenomena and Observations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How to make a hit: factors associated with music consumption on Spotify · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS