AI Insights · Timothy · October 2023
Top 5 Horror Games on Android in Guatemala: Q3 2023 Performance
Discover how the top 5 horror games on Android performed in Guatemala during Q3 2023, with insights on downloads, active users, and revenue trends.
During the third quarter of 2023, the top 5 horror games on the Android platform in Guatemala exhibited varied performance in terms of downloads and active users. Below, we delve into the details of each game's metrics.
Monster War: Hide & Seek Zone by UltraPub saw a significant spike in weekly downloads early in the quarter, peaking at approximately 13.3K in the week of July 31. However, this number dwindled to around 422 by the end of September. The game’s weekly active users followed a similar trend, rising to nearly 15K in early August before decreasing to 3.3K by the end of the quarter.
Granny, developed by DVloper, maintained a relatively stable download rate throughout the quarter, averaging around 5K to 6K downloads per week. The active user base remained consistent, hovering around 22K to 24K weekly, with a slight dip to 21.7K in the last week of September.
Nextbots In Backrooms: Shooter from HOOKAH GAMES experienced a resurgence in downloads, starting at 5.8K in early July and climbing to 7.4K by the end of September. The game also saw a steady increase in weekly active users, reaching a peak of approximately 38.6K in the final week of the quarter.
Hide N Seek: Find The Monster by Tiger 30 Studio had a mixed performance. Weekly downloads fluctuated, starting at 4.8K and ending at 2.3K. However, the game’s active user numbers showed a more stable pattern, peaking at 7.4K in mid-September before settling at around 6.5K by the end of the quarter.
Grima Monster Scary Survival from Reed Been saw a strong start in weekly downloads, with a high of 17.4K in late July, but this dropped sharply to around 339 by the end of September. Active users mirrored this trend, peaking at 12.4K in early August and decreasing to 3.8K in the last week of the quarter.
These insights are derived from Sensor Tower data. For more detailed analytics and trends, visit Sensor Tower.