AI Insights · Timothy · July 2021
Top 5 Fashion Games in Chile - Q2 2021 Performance
Discover the performance trends of the top 5 fashion games in Chile during Q2 2021, including insights on weekly downloads, revenue, and active users.
In Q2 2021, the top five fashion games on a unified platform in Chile showcased varied performance trends. Here's a closer look at how these apps fared in terms of weekly downloads, revenue, and active users.
Project Makeover from Magic Tavern, Inc. experienced consistent weekly revenue, peaking at around $21.8K in mid-May. Weekly downloads fluctuated, reaching a high of approximately 22.1K in late March and a low of about 12.9K in late May. The app's weekly active users showed a slight decline from 132K in late March to 109K by the end of June.
Crowdstar LLC's Covet Fashion: Dress Up Game saw a notable revenue spike to $10.1K in mid-May, with other weeks averaging between $3K and $4.5K. Weekly downloads were relatively stable, with a peak of about 1.4K in early June, and weekly active users ranged from 4.8K to 6.3K throughout the quarter.
Super Stylist Fashion Makeover by CRAZY STYLE LTD experienced a steady increase in weekly revenue, reaching approximately $3.6K by mid-June. Weekly downloads showed a strong upward trend, peaking at around 10.9K in late June. The app's weekly active users also saw growth, rising from 60.3K in late March to 72.1K by mid-June.
Love Nikki-Dress UP Queen from Galaxy Play Technology Limited displayed consistent weekly revenue, with a peak of about $2.4K at the end of June. Weekly downloads remained steady, ranging from 560 to 871. Weekly active users showed a slight decrease from 6.5K in late March to approximately 5.9K by the end of June.
Lastly, Producer: Choose your Star by Amrita Studio had variable weekly revenue, peaking at around $1.1K in early June. Weekly downloads fluctuated, with a high of about 1.7K in mid-May and a low of 501 in late May. Weekly active users saw an increase from 2.3K in late March to 2.6K by the end of June.
These insights are based on data from Sensor Tower. For more detailed analytics and trends, visit Sensor Tower.