Top 5 Wellness Apps on Android in Guatemala: Q2 2024 Performance

In the second quarter of 2024, the top 5 wellness apps on the Android platform in Guatemala showed varying performance trends across revenue, downloads, and active users. Here’s a detailed look at their performance:

Feelsy: Stress Anxiety Relief experienced a mixed quarter. Revenue fluctuated, peaking at approximately $84 in the week of May 27, and reaching a low of $43 in mid-June. Downloads saw a significant increase mid-quarter, with a peak of 983 in the last week of April. Weekly active users showed a slight decline from 8.4K at the end of April to around 7.8K by the end of June.

Me+ Daily Routine Planner had a stable quarter with revenue mostly ranging between $28 and $61. Downloads remained strong, peaking at 1.4K in early April and maintaining above 700 throughout the quarter. Weekly active users showed a consistent trend, starting at 1.7K in early April and ending at a similar level by the end of June.

Calm - Sleep, Meditate, Relax saw varied performance. Revenue was highest in early May with $53 and lowest in mid-April with $17. Downloads increased significantly towards the end of the quarter, peaking at 108 in late May. Weekly active users fluctuated, starting at 773 in early April, peaking at 2K in mid-April, and ending at 1.8K in late June.

Pulsebit: Heart Rate Monitor experienced a decline in revenue, dropping from $56 in early April to almost negligible amounts by the end of June. Downloads remained relatively low, with a peak of 60 in late April. Weekly active users showed a slight increase, starting at 1.1K in early April and peaking at 1.4K in mid-April, then stabilizing around 1.3K by the end of June.

Sleep Monitor: Sleep Tracker had a modest performance. Revenue peaked at $36 in mid-April and early May, with a low of $6 in mid-May. Downloads were highest in early April at 388 but generally remained below 100 in many weeks. Weekly active users saw a decline from 1.6K in early April to 834 by the end of June.

These insights are based on Sensor Tower data, and for more detailed analysis, you can visit Sensor Tower’s platform.