AI Insights · Timothy · March 2024
Q1 2024 Music & Podcasts App Performance on iOS in Latin America
A review of the top 5 music and podcasts applications on the iOS platform in Latin America for Q1 2024, brought to you by Sensor Tower insights.
Latin America's iOS users have been tuning into various music and podcasts applications throughout the first quarter of 2024. Sensor Tower provides a closer look at the trends and figures for these apps.
YouTube Music has shown consistent revenue throughout the quarter, with a peak at nearly $232K in the last week of February. Downloads showed a slight decline from over 100K in the first week of January to approximately 93K at the end of March. Weekly active users displayed a growing trend, rising from 5.48M to 5.64M in the same period.
Deezer: Music Player, Podcast also demonstrated a stable revenue stream, ranging from around $67K to $77K, with the highest revenue reported in the last week of February. Download numbers fluctuated slightly but remained around the 21K mark, while weekly active users saw a dip from 792K to 750K.
TIDAL Music: HiFi Sound experienced modest revenue figures, hovering around the $20K mark with a spike to $23.5K in late February. Downloads varied, with an unexpected surge to over 7K in early February, then settling back to around 3K by the end of March. The app maintained a steady user base with weekly active users fluctuating around the 87K range.
TikTok Music saw revenues ranging from approximately $10.5K to $19.7K, peaking in early February. Its downloads and weekly active users displayed a downward trend, with downloads dropping from around 3.6K to 2.4K and active users decreasing from 55K to 55.2K.
TuneIn Radio: Music & Sports reported revenues that generally remained around the $11K to $13.6K range, with the highest revenue at the end of February. Downloads saw a gradual decrease from 3.8K to 2.2K, while weekly active users showed a slight decline from 25K to 22K.
For more detailed insights and app performance metrics, Sensor Tower's platform offers comprehensive data and analysis.