AI Insights · Timothy · October 2022
Top 5 Music and Podcasts Apps on iOS in Oceania: Q3 2022 Performance
Discover the performance of the top 5 music and podcasts apps on iOS in Oceania for Q3 2022, with insights on downloads, revenue, and active users.
The third quarter of 2022 showcased interesting trends for the top 5 music and podcasts apps on iOS in Oceania. Here’s a detailed look at the performance metrics for Spotify - Music and Podcasts, Shazam: Find Music & Concerts, LiSTNR, YouTube Music, and SoundCloud: Discover New Music.
Spotify - Music and Podcasts experienced a consistent weekly revenue pattern, with figures fluctuating between $18.2K and $20.3K, peaking at $20.3K in mid-August. Weekly downloads saw a steady rise, culminating at 27.7K by the end of September. The app also showed a healthy increase in weekly active users, growing from 3.66M to 3.77M over the quarter.
Shazam: Find Music & Concerts saw minimal weekly revenue, hovering around $8 to $14. The app’s weekly downloads remained relatively stable, with minor fluctuations, ending at approximately 10.6K by the last week of September. Active users increased from 1.13M to 1.24M during the same period.
LiSTNR reported no revenue during the quarter. However, its weekly downloads witnessed significant growth, particularly in mid-September, reaching a high of 16.6K. Active users also showed an upward trend, increasing from 22.1K to 29K by the end of Q3 2022.
YouTube Music maintained strong weekly revenue figures, ranging from $105K to $126K, peaking at $126K in mid-September. Weekly downloads were consistent, with a slight peak at 10.3K in early August. Active users demonstrated a steady increase, growing from 726K to 758K over the quarter.
SoundCloud: Discover New Music displayed a varied revenue pattern, peaking at $60.8K in late August. Weekly downloads remained stable, with minor fluctuations, and reached approximately 8.5K by the end of September. Active users showed consistency, maintaining around 978K to 990K throughout the quarter.
These insights were derived from Sensor Tower's comprehensive data analytics. For more detailed insights and trends, visit Sensor Tower.