AI Insights · Timothy · October 2025
Top 5 Fashion Games on iOS in Germany: Q3 2025 Performance
Explore the performance trends of the top 5 fashion games on iOS in Germany during Q3 2025, including download, revenue, and active user metrics.
In the third quarter of 2025, the top fashion games on iOS in Germany demonstrated varying trends in downloads, revenue, and active users. This data, sourced from Sensor Tower, provides a snapshot of the app performance landscape.
Beauty Tiles: Story & Makeover from Pexix Inc. showed a fluctuating trend in weekly revenue, peaking at approximately $2.4K in early August before experiencing a decline to around $1.6K by the end of September. Weekly downloads peaked at 6.7K at the start of September, followed by a downward trend to 3.1K by the end of the quarter. Active users steadily increased to a peak of 17.9K in early September before gradually declining to 14.1K.
Skincare Time: Makeover ASMR by DO VAN HUY maintained a steady increase in downloads, reaching a high of 6.9K in mid-September. Active users saw a peak of 24.5K in mid-August, followed by a decline to 13.4K by early September.
Glow Fashion Idol from Crazy Labs experienced an upward trajectory in weekly revenue, culminating in a peak of $4.4K at the end of September. Downloads spiked at 5.5K in late August, while active users rose to 13.2K around the same time, before settling at 9.7K by the quarter's end.
Merge Fashion: Romance Story by Wind's Choice Tech Limited saw revenue increase steadily, reaching $2.6K in mid-September. Downloads peaked at 4.7K in late July, while active users reached a high of 16.3K at the same time, before slightly declining towards the end of the quarter.
Super Stylist Fashion Makeover by CRAZY STYLE LTD reported a consistent trend in revenue with a peak of $1.2K at the end of September. Downloads hit their highest at 4.3K in late July, with active users peaking at 14.1K in mid-July before decreasing to 5.5K by the end of September.
For more detailed insights and analytics, visit Sensor Tower's platform to explore comprehensive app performance data.