AI Insights · Timothy · October 2022
Top 5 Music and Podcasts Apps in Chile Q3 2022
Discover the performance of the top 5 music and podcasts apps in Chile during Q3 2022, with insights on downloads, revenue, and active users from Sensor Tower.
The third quarter of 2022 saw notable trends for the top music and podcasts apps in Chile. Here’s a detailed look at the performance of YouTube Music, TIDAL Music: HiFi Sound, Spotify - Music and Podcasts, Deezer: Music Player, Podcast, and TuneIn Radio: Music & Sports.
YouTube Music from Google showed a steady increase in weekly revenue, peaking at approximately $17K in early August. Weekly downloads fluctuated slightly, reaching a high of around 10K in early September. The app maintained a robust user base, with weekly active users growing from 2.04M to 2.17M throughout the quarter.
TIDAL Music: HiFi Sound saw a varied trend in revenue, peaking at $4.4K in late June and stabilizing around $3.7K to $4.2K towards the end of the quarter. Downloads experienced a significant decline, dropping from 2.6K in late June to below 1K in late September. Active users also fluctuated, starting at 48.8K and ending at 46.8K.
Spotify - Music and Podcasts experienced consistent weekly downloads, ranging from 36K to 40K. Revenue remained relatively stable, peaking at $2.4K in early August. The app's active users showed a slight increase, beginning at 4.81M and ending at 4.85M by the end of September.
Deezer: Music Player, Podcast saw steady revenue, averaging around $1.7K to $1.9K weekly. Downloads peaked at 1.7K in late July but generally hovered around 1.1K to 1.5K. Active users showed minor fluctuations, with a slight decrease from 83.3K to 80K over the quarter.
TuneIn Radio: Music & Sports had stable revenue, averaging around $1.2K to $1.3K. Weekly downloads hovered around 1K, with a peak of 1.2K in mid-July. The app's active users fluctuated slightly, decreasing from 9.8K to 9.4K by the end of the quarter.
These insights are derived from Sensor Tower data, where more detailed analyses and data can be explored.