AI Insights · Timothy · July 2022
Top 5 Apparel Apps in Australia Q2 2022: Unified Platform Performance
Discover the performance trends of the top 5 apparel apps in Australia for Q2 2022. Data reveals insights into downloads, active users, and revenue metrics.
In Q2 2022, the top 5 apparel apps on the unified platform in Australia showed varying trends in downloads and active users. The data, sourced from Sensor Tower, highlights the performance of SHEIN - Shopping Online, Nike: Shoes, Apparel, Stories, H&M - we love fashion, UNIQLO AU, and CIDER - Clothing & Fashion.
SHEIN - Shopping Online maintained strong weekly downloads, peaking at around 39.7K in late April and early May. However, a gradual decline was observed towards the end of Q2, with downloads dropping to approximately 27.5K. The app also saw a steady increase in weekly active users, reaching a high of nearly 596K in late May before slightly declining to 561K by the end of June.
Nike: Shoes, Apparel, Stories experienced a significant boost in weekly downloads, especially in mid-May, peaking at around 14K. The app's weekly active users also showed a positive trend, increasing from approximately 70.3K at the start of Q2 to 87.8K by the end of June.
H&M - we love fashion saw fluctuating weekly downloads, with a notable peak of around 9.5K in early May. The app's active users showed a consistent increase, reaching about 128K by the end of June, up from 103.9K at the start of the quarter.
UNIQLO AU showed a steady rise in weekly downloads, peaking at around 10.3K in early June. The number of active users also increased, reaching approximately 62.8K by mid-June before a slight dip to 58.7K at the end of the quarter.
CIDER - Clothing & Fashion experienced a peak in weekly downloads of around 10.1K in early May. However, downloads declined to about 4.6K by the end of June. The app's weekly active users followed a similar pattern, peaking at approximately 18.8K in early May and decreasing to 13.3K by the end of the quarter.
For more detailed insights and comprehensive data, visit Sensor Tower.