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AI Insights · Timothy · January 2022

Top 5 Fashion Games in Lithuania for Q4 2021

An overview of the top 5 fashion games on a unified platform in Lithuania during Q4 2021, highlighting their download, revenue, and active user trends.

Top 5 Fashion Games in Lithuania for Q4 2021

In Q4 2021, the top 5 fashion games in Lithuania on a unified platform showcased varying performance in terms of downloads, revenue, and active users. Here's a closer look at the trends for each game, based on data from Sensor Tower.

Love Fantasy: Match & Stories saw a significant rise in weekly downloads, starting from just 7 in early November and peaking at over 9K by mid-December. Weekly active users mirrored this trend, increasing from 25 in mid-November to around 12K by the end of December. Revenue was modest, with a peak of $36 in the week leading up to Christmas.

YOYO Doll: Girl Dress Up Games experienced a surge in downloads at the beginning of November, reaching over 4.8K. This momentum slightly declined but remained strong, with weekly downloads hovering around 2.5K to 4.8K throughout the quarter. Active users peaked at 8K in mid-November and stabilized around 7.4K by the end of December.

Hair Challenge had a more fluctuating download trend, starting at 2.3K in late September and dipping to around 500 in early November. However, downloads picked up again, reaching nearly 2K by the end of December. Active users followed a similar pattern, starting at 11.7K in late September, dipping to 6.5K in mid-December, and then rising to 8.7K by the end of the quarter.

Hair Dye! exhibited moderate download numbers, with a peak of 1.8K in early November. Active users saw a peak of 5.9K in early November as well but generally trended downwards, ending the quarter with approximately 4.3K active users.

DIY Makeup had a consistent download rate, peaking at 1.8K in late November. Active users showed an increase from around 3.3K in early October to a peak of 5.6K in late November, before settling down to around 3.8K by the end of December.

These insights are based on Sensor Tower data. For more detailed analysis and further insights, visit Sensor Tower.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: January 2022