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AI Insights · Timothy · December 2020

UK's Top Fashion Games Show Robust Performance in Q4 2020

The UK's leading fashion gaming apps saw dynamic trends in the fourth quarter of 2020, with downloads and active users peaking across the board. Sensor Tower provides a detailed look into the performance of these stylish games.

UK's Top Fashion Games Show Robust Performance in Q4 2020

In the fourth quarter of 2020, the United Kingdom witnessed significant activity in the fashion gaming category. Sensor Tower's analysis showcases how the top five fashion games performed during this period, with data culled from both iOS and Android platforms.

Project Makeover by Magic Tavern, Inc. saw impressive growth, with weekly revenue increasing from $58K to $269K by the end of the quarter. Downloads peaked in the last week of December at approximately 277K, while weekly active users surged to over 316K, marking a strong finish to the year.

Covet Fashion: Dress Up Game from Crowdstar LLC maintained a steady revenue stream, closing the quarter with about $34K in the final week. The game's downloads spiked to roughly 4.7K towards the year's end, and weekly active users reached a high of nearly 49K in the same period.

MovieStarPlanet, developed by MovieStarPlanet, also experienced an upward revenue trend, ending the quarter with nearly $16K. Downloads for the game showed a modest increase, peaking at just under 5K, with active users numbering around 25K in the last week of December.

CRAZY STYLE LTD's Super Stylist Fashion Makeover demonstrated a revenue uptick, concluding with over $14K. Downloads for the game rose significantly to approximately 29K, and active users reached their zenith at nearly 237K in the final week of 2020.

Lastly, Diamond Diaries Saga by King showcased consistency in revenue, with a slight increase to $5.4K. Downloads saw a peak of 401 in the last week of the quarter, while active users remained stable, ending the year at around 3.2K.

For more insights and detailed analytics on app performance, Sensor Tower's platform is the go-to source for comprehensive data analysis.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: December 2020