AI Insights · Timothy · April 2024
Top 5 iOS Apparel Apps in Oceania: Q1 2024 Performance
Explore the performance trends of the top 5 iOS apparel apps in Oceania during Q1 2024, highlighting weekly downloads and active users.
The first quarter of 2024 saw notable trends in the performance of the top 5 iOS apparel apps in Oceania. Here’s a detailed look at their weekly downloads and active users, based on data from Sensor Tower.
SHEIN - Shopping Online maintained a robust presence with weekly downloads ranging between 23.6K to 28.7K. The app started the quarter strong with 27.4K downloads in the first week of January and experienced a slight dip mid-quarter, stabilizing at 25.7K by the end of March. Active users showed a steady increase from approximately 500K to 578K, reflecting consistent user engagement throughout the quarter.
Nike: Shoes, Apparel, Stories experienced a gradual decline in weekly downloads, starting at 9.9K in early January and dropping to around 4.3K in mid-March before a slight recovery to 6.3K by the end of the quarter. Active users also showed a downward trend from 130.6K to around 106.9K, indicating a reduction in user engagement over the period.
CIDER - Clothing & Fashion had a fluctuating download trend, starting at 5.7K and ending at 3.7K. The app saw its highest downloads in the second week of January with 6.6K. Active users followed a similar pattern, starting the quarter at 34.3K and ending at 31.3K, showing a slight decline overall.
UNIQLO AU demonstrated a consistent increase in weekly downloads, beginning at 3.1K and peaking at 4.7K in mid-March. The app's active users also displayed growth, starting at 37.7K and reaching 40.4K by the end of the quarter, suggesting a positive trend in user engagement.
Cotton On saw a notable spike in weekly downloads, especially in the last week of February with 6.2K. The numbers fluctuated throughout the quarter, ending at 3.2K in the final week of March. Active users remained relatively stable, starting at 40.9K and ending at 37.6K, indicating consistent user interaction.
For more detailed insights and analysis, visit Sensor Tower.