AI Insights · Timothy · April 2024
Top 5 Fashion Games on iOS in Portugal for Q1 2024
Discover the performance of the top 5 fashion games on iOS in Portugal during Q1 2024, including trends in weekly downloads, revenue, and active users.
In the first quarter of 2024, the top 5 fashion games on iOS in Portugal showed varied performance trends in terms of weekly downloads, revenue, and active users. Here’s a detailed look at how each app fared:
Project Makeover from Magic Tavern, Inc. saw a steady weekly revenue, peaking at around $1.9K in the first and last weeks of the quarter. Weekly downloads fluctuated, with a notable drop to 286 in the week of February 26, before climbing back to 548 by the end of March. Active users started at 4.5K in early January, dipped mid-quarter, and ended at approximately 3.8K in the final week of March.
Covet Fashion: Dress Up Game by Crowdstar LLC experienced a significant spike in revenue mid-February, reaching $938, while weekly downloads peaked at 107 in the last week of March. Active users remained relatively stable, starting at 627 and ending at 645.
SUITSME: Dress Up Fashion Game from ZIRAFIT LIMITED showed an interesting trend in weekly downloads, with a low of 74 in mid-February but rebounding to 347 by the end of March. Revenue peaked at $632 in early January and saw another high of $474 in late February. Active users increased from 621 at the start of the quarter to 795 by the end.
SuitU: Fashion Avatar Dress UP by Libii HK Limited had a peak revenue of $468 in the second week of January, with a notable rise to $399 in early March. Weekly downloads were highest at 154 in mid-February and dipped to 80 at the end of March. Active users saw a steady increase from 1.3K in January to 1.5K by the end of the quarter.
Lastly, CocoPPa Play by UNITED MARKETING TECHNOLOGIES, INC. maintained a consistent revenue stream, peaking at $267 in the final week of March. There were no reported downloads for this period, but the revenue trends indicate a stable user base.
These insights are based on data from Sensor Tower, where more detailed analytics and trends can be explored.