Top 5 Pair Puzzle Apps on iOS in Latin America: Q3 2023 Performance

In Q3 2023, the top 5 pair puzzle apps on iOS in Latin America showcased varied performances in terms of downloads, revenue, and weekly active users. Here’s a detailed look at each app's metrics:

Triple Match 3D from Boombox Games LTD exhibited a stable revenue stream, peaking at nearly $46K in the week of August 21. Downloads ranged from a high of 5.7K during mid-August to a low of 2.2K towards the end of September. Weekly active users fluctuated between 24K and 27K for most of the quarter, before dipping to approximately 23K in mid-September.

Tile Busters: Match 3 Tiles by Spyke Games saw a notable rise in revenue, reaching about $3.7K in the final week of September. Downloads experienced a significant boost from 862 in late June to 7.4K in mid-August. The app’s weekly active users increased steadily, starting at 5.9K in late June and peaking at 19K by the end of September.

Zen Match - Relaxing Puzzle from Moon Active had a gradual increase in revenue, culminating at $3.1K at the end of September. Downloads spiked to 1.7K in late July but then tapered off to 868 by the end of the quarter. Weekly active users showed consistent growth, from 4.4K in late June to 5.1K by the end of September.

3 Tiles: Connect Tile Matching by Akita Limited Liability Company had a relatively stable revenue, with minor fluctuations, ending the quarter at around $1.3K. Downloads were highest at 3.9K in early July, but fell significantly to 372 by the end of September. Weekly active users saw a decline from 11K in late June to 5.9K by the end of the quarter.

Tile Master 3D - Classic Match from HIGGS TECHNOLOGY CO., LIMITED maintained a consistent download rate, peaking at 10K in mid-August before dropping to 2.7K by the end of September. Revenue peaked at nearly $2K in mid-August but saw a decline to $816 by the end of the quarter. The app's weekly active users remained robust, starting at 40K in late June and ending at 33K in late September.

These insights are based on data from Sensor Tower, where more detailed analytics can be found.