AI Insights · Timothy · October 2021
Top 5 Fashion Games on Android in Lithuania Q3 2021
In Q3 2021, fashion games on Android in Lithuania saw varying trends in downloads, revenue, and active users. Here’s a detailed look at the top 5 apps.
In the third quarter of 2021, fashion games on the Android platform in Lithuania exhibited diverse trends in weekly downloads, revenue, and active users. Here’s an in-depth look at the performance of the top 5 fashion games, based on data from Sensor Tower.
Project Makeover by Magic Tavern, Inc. experienced a dynamic quarter. Weekly revenue fluctuated, peaking at around $609 in mid-August. Downloads saw a significant spike in the week of August 23, reaching approximately 1.6K, while weekly active users also showed a notable increase, peaking at around 7.6K in the same week.
Lady Popular: Dress up game from XS Software AD had a mixed quarter. Weekly revenue varied, with the highest point being around $501 in early August. Downloads remained relatively low but steady, with a slight increase to 47 in the final week of September. Active users hovered around the 1K mark, with minor fluctuations throughout the quarter.
Love Nikki-Dress UP Queen by Elex showed a stable yet modest performance. Weekly revenue reached its peak at approximately $422 in late July. Downloads and active users remained relatively consistent, with downloads peaking at 118 in late June and active users peaking at 647 in the last week of July.
Covet Fashion: Dress Up Game from Crowdstar Inc had a steady but low-profile quarter. Weekly revenue peaked at around $332 in early August. Downloads remained low throughout the quarter, with a high of 64 in mid-August. Active users peaked at 205 in the same week.
Producer: Choose your Star by Amrita Studio experienced varied trends. Weekly revenue peaked at around $216 in late July. Downloads saw a significant spike in the week of August 23, reaching 271, while active users also peaked at 444 in the same week.
These insights into the performance of fashion games in Lithuania are based on data from Sensor Tower. For more detailed insights and trends, visit Sensor Tower.