AI Insights · Timothy · April 2022
Top 5 Fashion Games on Android in Nigeria Q1 2022
In Q1 2022, the top 5 fashion games on Android in Nigeria showcased diverse trends in downloads, revenue, and active users. Sensor Tower data reveals the performance of these apps.
In the first quarter of 2022, the top 5 fashion games on Android in Nigeria displayed varying trends in weekly downloads, revenue, and active users. The analysis, based on data from Sensor Tower, provides insights into the performance of these popular apps.
Project Makeover saw a consistent performance in weekly revenue, peaking at around $337 in the first week of January. The weekly downloads for the game showed a downward trend, starting from 3.8K at the beginning of the quarter and dropping to just over 1K by the end of March. Active users started at approximately 16.8K, experiencing a decline to 12.8K by the quarter's end.
Covet Fashion: Dress Up Game experienced fluctuations in revenue, with a notable peak of $221 in mid-February. Downloads ranged between 142 and 373 weekly, with a slight dip towards the end of the quarter. Active users started at 530, dropping to 378 by the end of March.
Pocket Styler: Fashion Stars had a steady revenue decline from $128 in early January to $26 by the end of March. Weekly downloads also saw a significant drop from 1.9K to just over 200. Active users fluctuated but generally trended downwards, from 7.4K to 4.3K.
Fashion Empire - Dressup Sim showed relatively low revenue, peaking at $52 at the start of the quarter and dropping to $16 by the end. Downloads were more stable, ranging from 217 to 489 weekly. Active users saw a gradual increase, starting at 416 and ending at 627.
Love Nikki-Dress UP Queen had minimal revenue throughout the quarter, with a peak of $20 in late December. Downloads were low, ranging from 4 to 37 weekly. Active users also declined slightly, from 261 at the start of the quarter to 196 by the end.
These insights offer a glimpse into the performance of fashion games in Nigeria for Q1 2022. For more detailed analytics, visit Sensor Tower.