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AI Insights · Timothy · January 2022

Top 5 Fashion Games on Android in Denmark: Q4 2021 Performance

Discover how the top 5 fashion games performed on the Android platform in Denmark during the fourth quarter of 2021, with insights on downloads, revenue, and active users.

Top 5 Fashion Games on Android in Denmark: Q4 2021 Performance

During the fourth quarter of 2021, the top 5 fashion games on the Android platform in Denmark showed varied performance trends in terms of weekly downloads, revenue, and active users, according to Sensor Tower data.

Hair Challenge saw moderate fluctuations in weekly downloads, peaking at 1.1K in mid-October and again in late December. Weekly active users ranged from 4.6K to 5.9K, with a noticeable dip in early December but rebounding towards the end of the quarter. Revenue remained minimal, with small spikes reaching up to $8 in early November.

Get Lucky: Run To The Pool experienced a significant drop in weekly downloads from 2.5K in late September to around 600 in November, before slightly recovering to 771 by the end of December. Active users mirrored this trend, starting at 3.7K and declining to around 1.1K, later stabilizing in the last weeks of December.

Love Fantasy: Match & Stories showed a remarkable increase in weekly downloads, starting from zero in early October to 2.2K by mid-December. Active users surged from 91 in mid-November to over 3K by the end of December. Revenue also saw a significant rise, reaching $99 in the week of December 20.

Doll Designer had a modest increase in weekly downloads, peaking at 1.2K in the last week of December. Active users reached their highest point at 2.1K in the same week. Revenue saw minor spikes, with the highest being $5 in mid-October.

Fashion Battle - Dress up game experienced fluctuations in weekly downloads, peaking at 1.1K in mid-October and 760 in late December. Active users increased from 2.3K in late September to a high of 3.3K in mid-October. Revenue had small variations, with the highest being $27 in late September.

For more detailed insights and data, visit Sensor Tower.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: January 2022