AI Insights · Timothy · April 2025
Top 5 Fashion Games Performance in the UK: Q1 2025
Explore the performance trends of the top 5 fashion games in the UK during Q1 2025, with insights on downloads, revenue, and active users from Sensor Tower.
In the first quarter of 2025, the top fashion games in the United Kingdom showed varied performance trends across downloads, revenue, and active users. Here's an overview of their progress based on data from Sensor Tower.
Project Makeover by Magic Tavern, Inc. experienced a steady decline in weekly downloads, starting at around 13.6K and dropping to approximately 6.5K by the end of March. Revenue fluctuated slightly, peaking at $123.8K in early January before settling around $102.1K by the end of the quarter. Active users also saw a decrease from 199K to about 97K.
SuitU: Fashion Avatar Dress UP from Libii HK Limited showed variability in revenue, starting at $14.6K and peaking at $25.7K in late February, before dropping to $16.5K by quarter's end. Downloads declined from 2.7K to 1.5K, while active users remained relatively stable, fluctuating around 32K to 36K.
Covet Fashion: Dress Up Game by Crowdstar LLC had a notable revenue increase in February, reaching $28.8K, before settling to $17.2K at the quarter's conclusion. Downloads consistently decreased from 2.2K to 350. Active users, however, remained consistent, averaging around 33K.
Glow Fashion Idol by Crazy Labs showed a strong start with downloads around 13.2K, which decreased to about 5.8K by March. Revenue reached a high of $18.1K in late January before declining to $8.5K. Active users peaked at 30K mid-quarter, ending at around 24K.
RuPaul's Drag Race Superstar from Eastside Games saw a decline in downloads from 526 to 356, while revenue showed slight fluctuations, ending at $8.9K. Active users witnessed a resurgence from 846 in early January to 1.6K by the end of March.
These insights highlight the dynamic nature of the fashion gaming sector in the UK. For more detailed analytics and trends, visit Sensor Tower for comprehensive data.