AI Insights · Timothy · June 2023
Top 5 Music and Podcasts Apps in Costa Rica Q2 2023
In Q2 2023, the top music and podcasts apps in Costa Rica showed varied performance in downloads, revenue, and active users. Here’s a closer look at the trends.
The second quarter of 2023 saw interesting trends for the top music and podcasts apps in Costa Rica. Here’s a detailed look at how Spotify - Music and Podcasts, Shazam: Find Music & Concerts, eSound - MP3 Music Player App, YouTube Music, and SoundCloud: Discover New Music performed over the quarter.
Spotify - Music and Podcasts experienced a steady increase in weekly revenue, peaking at approximately $2.9K in the final week of June. Weekly downloads showed a slight fluctuation, starting at 9.9K in late March and ending at 9.4K in the last week of June. The app maintained a robust weekly active user base, hovering around 855K by the end of the quarter.
Shazam: Find Music & Concerts had modest revenue throughout the quarter, generally around the $1 mark per week. Downloads ranged from 3.5K to 6.5K, with a notable peak in early May. Active users remained relatively stable, ending the quarter with about 153K weekly active users.
eSound - MP3 Music Player App saw its weekly revenue fluctuate, peaking at $238 in late May. Downloads showed significant variation, with a noticeable spike to 5.5K in early May. The app’s active user base grew to approximately 32K by mid-June before slightly declining to 29.8K by the end of the quarter.
YouTube Music demonstrated strong revenue performance, peaking at $7.5K in the final week of June. Weekly downloads stayed relatively stable, ranging between 2.3K and 2.8K. The app's active user base saw a gradual increase, reaching around 189K by the end of June.
SoundCloud: Discover New Music had a varied revenue trend, reaching a high of $119 in mid-April. Downloads remained fairly consistent, with a slight peak at 2.7K in mid-April. The active user count was stable, ending the quarter with around 109K weekly active users.
These insights are based on data from Sensor Tower. For more in-depth analysis, visit Sensor Tower.