AI Insights · Timothy · July 2022
Top 5 Fashion Games in Hungary Q2 2022
Discover the performance trends of the top 5 fashion games in Hungary during Q2 2022, including insights on downloads, revenue, and active users.
The performance of the top 5 fashion games on a unified platform in Hungary for the second quarter of 2022 shows interesting trends in downloads, revenue, and active users. Here’s a closer look at each app:
Project Makeover from Magic Tavern, Inc. experienced fluctuations in weekly revenue, peaking at approximately $3.1K at the end of March and gradually decreasing to $1.6K by the end of June. Weekly downloads saw a high of 2.4K in mid-April but settled around 1.3K by the end of the quarter. The app maintained a strong user base, with weekly active users consistently around 21K to 24K.
Lady Popular: Dress up game by XS Software JSCo showed a peak in weekly revenue of about $1.4K in early April, with fluctuations throughout the quarter, ending at $1K. Downloads were highest in early May at 907, while active users remained relatively stable, fluctuating between 9.4K and 11.2K.
Covet Fashion: Dress Up Game from Crowdstar LLC saw its weekly revenue peak at $1.3K in mid-May, before settling around $592 by the end of June. Downloads were minimal, peaking at 66 in late June. Active users hovered around 400-500 throughout the quarter.
Love Nikki-Dress UP Queen from Galaxy Play Technology Limited had modest revenue, peaking at $623 in mid-May before falling to $235 by the end of June. Downloads were minimal, with sporadic peaks of up to 17 in early May. Active users ranged from 492 to 709 throughout the quarter.
Shining Nikki-Fashion Makeover by Paper Games showed stable revenue, peaking at $430 in mid-May and ending at $177 in late June. Downloads were consistent, peaking at 44 in mid-April. Active users remained steady, ranging from 285 to 357 over the quarter.
These insights are based on data from Sensor Tower, providing a comprehensive look at the performance of top fashion games in Hungary. For more detailed insights, visit Sensor Tower.