AI Insights · Timothy · July 2024
Q2 2024 Performance of Top Apparel Apps in the UK
An overview of the top 5 apparel apps' performance in the UK for Q2 2024, highlighting user engagement and download trends. Insights provided by Sensor Tower.
In the second quarter of 2024, the apparel industry witnessed significant user engagement across leading apps in the United Kingdom. Sensor Tower's data showcases the performance of these apps, offering a glimpse into the digital apparel landscape.
SHEIN - Shopping Online maintained a strong presence with downloads starting at 240K in the first week of April and seeing a gradual decrease to 140K by the end of June. Weekly active users peaked at 4.4M in late May, illustrating robust engagement despite the downward trend in downloads.
Vinted: Sell vintage clothes also displayed a steady user base, with downloads hitting a high of 166K in late April and then experiencing fluctuations, concluding the quarter with 106K downloads. The app's weekly active users remained relatively stable around the 2.4M to 2.5M mark throughout the quarter.
JD STATUS saw its downloads range from 43K to 54K, peaking in early June. The app’s weekly active users showed consistent growth, starting at 114K and reaching nearly 151K, indicating increasing user retention.
CIDER - Clothing & Fashion experienced varied download numbers, with a notable spike to 74K in early May. Weekly active users for CIDER reached a high of 445K in the same period, suggesting a correlation between downloads and active engagement.
Lastly, Nike: Shoes, Apparel, Stories had its downloads fluctuate between 20K and 30K. The app's weekly active users exhibited a significant rise in late May, with a count of 317K, before dropping to approximately 277K by the quarter's end.
Overall, the data from Sensor Tower for Q2 2024 indicates varying levels of downloads and consistent weekly active users across top apparel applications in the UK market. For deeper insights into the performance of these apps, Sensor Tower’s platform offers comprehensive analytics.