Top 5 Fashion Games on iOS in Italy Q1 2023

In Q1 2023, the fashion game category on iOS in Italy saw notable performances from the top five applications. Here’s a detailed look at their weekly downloads, revenue, and active users.

Merge Studio: Fashion Makeover by Paxie Games experienced a fluctuating revenue trend, starting from $351 and peaking at approximately $1.2K in the week of January 16. Downloads saw a significant spike in the first week of January, reaching 24.9K, before gradually declining to 5.2K by the end of March. Active users showed a peak of 31.4K in early January, with a slight decline to around 29.3K at the end of the quarter.

Makeover Studio: Makeup Games from LIHAO TECH CO., LIMITED demonstrated steady growth in revenue, reaching up to $249 in the week of February 20. Downloads peaked in early February at 9.9K and then decreased to 2.6K by the end of March. Active users saw a high of 38.9K in mid-February, maintaining a consistent level around 32.5K towards the end of the quarter.

Makeup Stylist -DIY Salon game by REMEMBERS INFORMATION TECHNOLOGY CO., LTD. showed modest revenue gains, peaking at $140 in late February. Downloads remained relatively stable, with minor fluctuations, starting at 6.6K at the beginning of the quarter and ending at 3.5K. Active users hovered around 28K throughout the quarter, showing minimal variation.

Super Stylist Fashion Makeover by CRAZY STYLE LTD saw a revenue peak of $1.5K in early January and late February. Downloads peaked at 7K in the first week of January, followed by a decline to 2.2K by the end of March. Active users peaked at 44K at the beginning of the quarter, ending at around 29.7K.

The standout performer, Project Makeover by Magic Tavern, Inc., led in revenue, peaking at $12.5K in the first week of the year. Downloads fluctuated, peaking at 6.5K in mid-February and ending at 2.3K in the last week of March. Active users peaked at nearly 100K in early January and remained strong at approximately 89.9K by the end of the quarter.

These insights are based on data from Sensor Tower, and more detailed analytics can be found on their platform.