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AI Insights · Timothy · December 2020

Q4 2020 Performance of Top Fashion Games in Australia

Sensor Tower's analysis reveals the performance of the top 5 fashion gaming apps in Australia for Q4 2020. Trends show varying downloads and active users.

Q4 2020 Performance of Top Fashion Games in Australia

Fashion Gaming Trends Down Under: A Q4 2020 Snapshot

As the year 2020 came to a close, the fashion gaming scene in Australia witnessed varying degrees of engagement across top applications. Sensor Tower provides a glimpse into how these apps fared in the fourth quarter.

Project Makeover by Magic Tavern, Inc. showed a remarkable increase in revenue, starting the quarter at $23K and ending at a high of $137K. Downloads followed a similar upward trend, from 5K in the last week of September to over 72K in the final week of December. Weekly active users also surged from 9K to an impressive 123K.

Covet Fashion: Dress Up Game by Crowdstar LLC witnessed fluctuations in revenue, peaking at $50K in early November before settling around $24K by year-end. Downloads experienced a modest peak of over 1K in mid-November, while weekly active users saw a slight decline from 12K to 11K by the end of December.

For Super Stylist Fashion Makeover from CRAZY STYLE LTD, revenue saw a rise from $3K to nearly $6K. The app's downloads showed an upward trend, concluding the quarter with over 11K downloads. Weekly active users increased consistently, from 36K to around 48K.

King's Diamond Diaries Saga experienced modest revenue growth, starting at $2K and ending at $3K. The app saw a decrease in downloads from 167 to 162, with weekly active users dipping slightly from 1.3K to under 1K.

Toca Boca Jr Hair Salon 4, published by Piknik, had a stable revenue trend, beginning and ending the quarter around $1K. The app's downloads saw a peak of over 5K in late October, and weekly active users hovered around 10K to 11K throughout the quarter.

For more detailed insights and analysis, Sensor Tower's platform remains a comprehensive source for app performance data.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: December 2020