AI Insights · Timothy · April 2022
Top 5 Fashion Games on Android in Africa: Q1 2022 Performance
A detailed look at the performance of the top 5 fashion games on Android in Africa during Q1 2022, including downloads, revenue, and active user trends.
The first quarter of 2022 saw notable performances from the top 5 fashion games on the Android platform in Africa. Here's a detailed analysis of their weekly downloads, revenue, and active user trends.
Hair Challenge by Rollic Games showed robust weekly downloads, peaking at approximately 191.7K during the week of January 31. The game experienced a steady flow of active users, maintaining a range between 470K to 588K. Revenue, however, was minimal, with the highest weekly revenue recorded at $3 in late January and early February.
Fashion Show: Makeup, Dress Up from Dress Up Games for Girls witnessed a consistent increase in weekly downloads, culminating at around 188.9K by the end of March. Weekly revenue saw a significant rise, peaking at $71 in early March. Active users also grew steadily, reaching an impressive 719.5K in the last week of the quarter.
Lion Studios' Doll Designer had moderate success in terms of downloads, with a peak of 81.8K in the first week of January. Active users saw a slight decline from 204K to around 151.9K throughout the quarter. The game did not generate any revenue during this period.
Dress Up Games, published by Dress Up Makeover Girls Games, experienced a gradual decline in downloads, starting from 71.9K at the end of December to around 52.5K by the end of March. Active users also saw a slight drop, moving from 150.6K to 119K over the quarter. Revenue data was not available for this game.
Project Makeover by Magic Tavern, Inc. showed a notable drop in weekly downloads, starting from 64.8K in early January and declining to around 25.5K by the end of March. Despite this, the game maintained a steady weekly revenue, peaking at $9.3K in the last week of March. Active users decreased from 313.2K to 231.1K over the same period.
These insights are based on data from Sensor Tower. For more in-depth analysis and additional insights, visit Sensor Tower's website.