AI Insights · Timothy · April 2024
Top 5 Fashion Games in Uruguay - Q1 2024 Performance
Discover the performance of the top 5 fashion games in Uruguay during Q1 2024, featuring trends in downloads, revenue, and active users.
Throughout Q1 2024, fashion games have seen varying levels of success in Uruguay. Here’s a detailed look at the performance of the top 5 fashion game apps in the region.
Project Makeover from Magic Tavern, Inc. displayed impressive weekly revenue growth, peaking at around $1K in the final week of March. Weekly downloads showed fluctuations, reaching a high of 3.9K at the end of January and then declining to 1.1K by the end of March. Active users started strong at 15.1K in early January, climbing to a peak of 16.7K at the end of January before settling at 14.5K by the end of the quarter.
Crowdstar LLC's Covet Fashion: Dress Up Game had a consistent performance in weekly revenue, with a notable rise to $505 in mid-February. Weekly downloads were modest, peaking at 100 in mid-February. Active users remained relatively stable throughout the quarter, ending at 198 by the end of March.
SUITSME: Dress Up Fashion Game by ZIRAFIT LIMITED experienced a steady weekly revenue, reaching a high of $203 in mid-January. Downloads peaked at 754 in the second week of January and then fluctuated, ending at 296 in late March. Active users saw a peak of 1.5K in early January, with a slight decline to 1.1K by the end of March.
Super Stylist Fashion Makeover from CRAZY STYLE LTD saw a significant increase in weekly revenue in late March, reaching $202. Weekly downloads peaked at 782 in mid-February, while active users showed a notable rise from 4K in early January to 4.7K in late February, before settling at 4K by the end of March.
Pocket Styler: Fashion Stars by Nordcurrent UAB had a varied performance. Weekly revenue peaked at $185 in early February. Downloads showed a significant increase to 370 in late January, while active users peaked at 845 in the same period, ending the quarter at 459.
These insights are based on data from Sensor Tower, where more detailed analytics can be found.