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AI Insights · Timothy · January 2022

Top 5 Fashion Games in Bulgaria in Q4 2021

Discover the top-performing fashion games in Bulgaria during Q4 2021, with insights on downloads, revenue, and active users from Sensor Tower.

Top 5 Fashion Games in Bulgaria in Q4 2021

In the fourth quarter of 2021, fashion games continued to capture the attention of users in Bulgaria. Here’s a look at the performance of the top five fashion games on a unified platform, based on data from Sensor Tower.

Lady Popular: Dress up game, published by XS Software JSCo, showed a dynamic trend in both downloads and revenue. Weekly downloads peaked at around 4.1K in late October, while weekly revenue saw a significant increase, reaching approximately $2.4K in the week of November 8. Active users fluctuated throughout the quarter, with a high of nearly 22K in late October.

Project Makeover from Magic Tavern, Inc. experienced notable fluctuations. Weekly downloads were highest at about 3.3K in late September, while weekly revenue peaked at around $1.3K in mid-October. The active user count remained relatively stable, with a peak of approximately 17.8K in early November.

Shining Nikki-Fashion Makeover, published by Paper Games, had a modest performance. Weekly downloads were low, peaking at just 167 in late October. Despite this, weekly revenue saw a high of around $983 in mid-October. Active users remained steady, with a peak of 359 in late October.

Covet Fashion: Dress Up Game from Crowdstar LLC showed consistent performance. Weekly downloads were relatively low, peaking at 111 in late December. Weekly revenue reached its highest at about $1.1K in early November. Active users saw minor fluctuations, peaking at 415 in late October.

Love Nikki-Dress UP Queen, published by Galaxy Play Technology Limited, had a mixed performance. Weekly downloads were minimal, with a peak of just 21 in mid-October. Weekly revenue peaked at approximately $880 in early November. Active users showed a declining trend, with a peak of 437 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