Top 5 Fashion Games on iOS in Argentina Q3 2022

During the third quarter of 2022, fashion games on the iOS platform in Argentina exhibited diverse trends in weekly downloads, revenue, and active users. Here’s a detailed look at the performance of the top 5 fashion games, based on data from Sensor Tower.

Super Stylist Fashion Makeover from CRAZY STYLE LTD had a fluctuating revenue trend, with the highest weekly revenue reaching approximately $159 in mid-July. Weekly downloads started at around 1K in late June and witnessed a gradual decline, ending the quarter at around 677. Active users also displayed a downward trend, beginning at 5.8K in late June and dropping to about 4.6K by the end of September.

Makeup Artist: Makeup Games by Beauty salon Studio showed a steady increase in revenue through the quarter, peaking at $247 in the week of August 22. Downloads had a significant drop from 964 in late June to 399 by the end of September. Active users also decreased over the quarter, starting at 1.8K and ending at around 1.1K.

Hair Tattoo: Barber Shop Game by AI Games FZ had no revenue during the quarter but saw notable download activity. Downloads peaked at 1.9K in mid-July before dropping to 72 by the end of September. Active users followed a similar pattern, peaking at 1.5K in mid-July and declining to 877 by the end of the quarter.

Makeup Stylist -DIY Salon game from REMEMBERS INFORMATION TECHNOLOGY CO., LTD. had minimal revenue, with the highest weekly revenue being $15 at the end of September. Downloads saw a peak of 1K in late August but decreased to 419 by the end of the quarter. Active users increased initially, peaking at about 3K in early September, before stabilizing around 2.5K by the end of the month.

Acrylic Nails! by Crazy Labs experienced a steady revenue increase, peaking at $43 in mid-August. Downloads showed an upward trend, starting at 392 in late June and reaching 733 by the end of September. Active users also increased, from 1.6K in late June to over 2.1K by the end of September.

These insights are based on data from Sensor Tower. For more detailed analytics, visit Sensor Tower's platform.