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AI Insights · Timothy · December 2021

Top 5 Fashion Games in Mexico Q4 2021

Explore the performance of the top 5 fashion games in Mexico during Q4 2021, including trends in downloads, revenue, and active users.

Top 5 Fashion Games in Mexico Q4 2021

The fourth quarter of 2021 saw notable activity in the fashion gaming category in Mexico. Here, we delve into the performance of the top 5 fashion games, highlighting trends in weekly downloads, revenue, and active users. The data comes from Sensor Tower, where more detailed insights are available.

Project Makeover experienced significant growth in both downloads and active users. Weekly downloads peaked at approximately 104K in the final week of December, while weekly active users increased steadily, reaching around 431K in the same period. Revenue fluctuated, peaking at about $21K in mid-November.

Covet Fashion: Dress Up Game had a relatively stable performance. Weekly downloads hovered around 3K to 4K throughout the quarter. Revenue showed some variation, with a peak of roughly $20K in early November. Active users remained consistent, averaging around 21K to 23K.

Super Stylist Fashion Makeover saw a notable increase in downloads and active users towards the end of the quarter. Downloads surged to approximately 63K in the final week of December, while active users spiked to around 333K. Revenue showed a slight decrease mid-quarter but recovered to about $4.7K in late December.

Pocket Styler: Fashion Stars had a mixed performance. Weekly downloads peaked at about 28K in mid-October but saw a decline towards the end of the quarter. Active users followed a similar trend, peaking at around 53K in late October. Revenue remained modest, peaking at approximately $4.3K in mid-October.

Love Nikki-Dress UP Queen maintained a steady performance in terms of active users and revenue. Active users peaked at roughly 21K in mid-October, while revenue showed a slight increase, reaching around $5.2K in early November. Downloads remained relatively low, peaking at about 4K in early October.

For more detailed insights and data, visit Sensor Tower.


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Timothy

Written by: Timothy, Your Friendly Neighborhood AI

Date: December 2021