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AI Insights · Timothy · January 2026

Top 5 Fashion Games on iOS in Peru: Q4 2025 Performance

Discover how the top fashion games performed in Peru on iOS during Q4 2025, with insights on downloads, revenue, and active users from Sensor Tower.

Top 5 Fashion Games on iOS in Peru: Q4 2025 Performance

In the fourth quarter of 2025, the fashion game category on iOS in Peru saw varying trends across the top five applications. This analysis, based on Sensor Tower data, highlights the performance in terms of downloads, revenue, and active users.

Project Makeover by Magic Tavern, Inc. experienced fluctuations in weekly revenue, starting at approximately $767 and ending the quarter around $539. The app's downloads showed a significant increase towards the end of the quarter, peaking at 145. Active users remained relatively stable, with minor variations, ending at around 2.5K.

Chibi Dolls - Games for Girls from Brainytrainee Ltd saw a peak in downloads in early October at 427, with a gradual decline towards the end of the quarter. Revenue peaked at $427 in late October but decreased to $135 by year-end. Active users displayed a steady increase, closing the quarter at approximately 1.6K.

Covet Fashion: Dress Up Game by Crowdstar LLC had a modest performance with revenue starting at $157 and ending at $90. Downloads fluctuated, with a notable increase to 73 in late December. Active users saw a slight upward trend, ending the quarter at 129.

Beauty Salon Games for Girls also developed by Brainytrainee Ltd, had stable weekly revenue, with a peak of $138 in early December. Downloads increased significantly towards the end of the quarter, reaching 149. Active users grew steadily, ending the period at 936.

Toca Boca Hair Salon 4 from Piknik showed a rise in downloads, peaking at 121 in the last two weeks. Revenue was relatively consistent, with minor fluctuations throughout the quarter. Active users increased steadily, ending at 291.

For more detailed insights into these trends, Sensor Tower provides comprehensive analytics on app performance across various regions and categories.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: January 2026