Top Chibi Games on Android in Brazil: Q2 2022 Performance

During the second quarter of 2022, the top Chibi games on the Android platform in Brazil exhibited varying performance trends in terms of downloads, revenue, and active users. Here’s a closer look at the performance of the top 5 Chibi games.

Pou from Zakeh saw a steady decrease in weekly revenue from $744 at the end of March to around $630 in late June. Weekly downloads fluctuated between 266.9K and 185.8K, with a notable dip in late April and early May. The app had a significant number of weekly active users, starting at approximately 20M and gradually declining to around 13.5M by the end of the quarter.

Moy 7 - Virtual Pet Game by Frojo Apps experienced low weekly revenue, peaking at $27 in late March and dropping to as low as $4 during May, before slightly recovering to $15 by the end of June. Weekly downloads ranged from 80.2K to 62.8K, maintaining a relatively stable trend. Weekly active users remained consistent, starting at 374.9K and ending at 336K.

Pocket Love from HyperBeard showed a decline in weekly revenue from $468 in late March to $161 by the end of June. Weekly downloads also saw a downward trend, starting at 83.4K and dropping to 23.1K in late May, before slightly recovering to 29.6K in late June. Weekly active users decreased from 183.7K to around 100.4K over the quarter.

Smolsies 2 - Cute Pet Stories by TutoTOONS had minimal weekly revenue, peaking at $20 in mid-May. Weekly downloads showed a significant drop from 80.9K in mid-April to around 18.9K by the end of June. Weekly active users followed a similar declining trend, starting at 87.2K and falling to 28.4K by the end of the quarter.

Fluvsies - A Fluff to Luv, also by TutoTOONS, experienced a more stable performance with weekly revenue peaking at $195 in mid-April and staying around $118 by late June. Weekly downloads increased from 25.9K to 36.1K over the quarter. Weekly active users showed growth, starting at 228.5K and rising to 267.9K by the end of June.

These insights are based on data from Sensor Tower, where you can find more in-depth analysis and trends.