AI Insights · Timothy · January 2022
Top 5 Fashion Games on iOS in Spain: Q4 2021 Performance
Explore the performance trends of the top 5 fashion games on iOS in Spain during Q4 2021, including their weekly downloads, revenue, and active users.
In Q4 2021, the top 5 fashion games on iOS in Spain showcased varying performance metrics in terms of weekly downloads, revenue, and active users. Here’s a detailed look at each app’s performance during this period.
Project Makeover from Magic Tavern, Inc. saw a notable increase in weekly revenue, peaking at approximately $12.6K in the final week of December. Weekly downloads fluctuated, with a significant rise to 9.1K during the week of December 6. Active users also varied, reaching a high of around 44K at the start of the quarter and ending at approximately 34.6K.
Hair Challenge by Rollic Games displayed a steady pattern in weekly downloads, with a peak of 3.3K in the last week of December. Active users showed a slight increase towards the end of the quarter, reaching around 20.8K. Revenue remained minimal but saw a small spike to $19 in the first week of December.
Pocket Styler: Fashion Stars, published by Nordcurrent UAB, experienced a gradual increase in weekly revenue, culminating at roughly $1.9K in the final week of December. Weekly downloads showed a peak of 3.3K in mid-October, while active users followed a similar trend, peaking at about 6.5K in the same period.
Super Stylist Fashion Makeover from CRAZY STYLE LTD saw consistent weekly revenue, with a notable peak of $622 in the week of December 20. Downloads were highest in the same week, reaching 3K. Active users saw an increase towards the end of the quarter, peaking at around 29.6K.
Love Fantasy: Match & Stories by Appzoa Tech Co., Limited experienced a significant increase in downloads, peaking at 3.9K in the week of December 20. Active users also saw a remarkable rise, reaching approximately 5.5K by the end of December. Revenue showed minor fluctuations, with a peak of $37 in mid-December.
These insights are based on data from Sensor Tower. For more detailed analytics, visit Sensor Tower’s platform.