Top 5 Hypercasual Games on Android in Latin America - Q1 2023

In the first quarter of 2023, the top 5 hypercasual games on the Android platform in Latin America showcased diverse trends in terms of downloads, revenue, and active users. Here's a closer look at their performance:

Craftsman: Building Craft had a fluctuating download trend, starting the quarter with around 717K downloads and peaking at 753K in late January. The downloads then saw a declining trend, ending the quarter at approximately 441K. The game maintained a stable number of weekly active users, starting with roughly 6.2M and dipping slightly to 5.2M by the end of March.

Makeover salon: Makeup ASMR, released in mid-January, experienced strong initial performance with downloads reaching up to 1.4M in the second week. However, the numbers gradually declined, ending the quarter at around 260K. Weekly active users followed a similar trend, peaking at nearly 2M in late January and stabilizing at around 1.3M towards the end of March. The game’s weekly revenue saw minor fluctuations, peaking at $139 in early February.

Snake.io - Fun Snake .io Games maintained a consistent performance throughout the quarter. Weekly downloads fluctuated between 449K and 593K, with a notable peak in early March. Active users showed a steady increase, starting at about 3.3M and rising to a peak of approximately 3.5M in early March. The game’s weekly revenue remained relatively stable, peaking at $286.

Block Crazy Robo World saw moderate activity, with weekly downloads ranging from 317K to 655K. The highest number of downloads was observed in the first week of January. Active users fluctuated throughout the quarter, starting at around 2.3M and peaking at approximately 2.8M in late March.

Block Blast! exhibited a significant upward trend in weekly downloads, starting from 1.5K in late December and reaching up to 799K in late February. Active users followed this positive trend, beginning with 185K in early January and rising to nearly 2M by the end of March.

These insights are based on data from Sensor Tower. For more detailed information and further insights, visit Sensor Tower.