AI Insights · Timothy · January 2025
Top 5 io Games Performance on Android in Denmark Q4 2024
Explore the performance trends of top io games on Android in Denmark during Q4 2024, highlighting key metrics like downloads, revenue, and active users.
In the fourth quarter of 2024, the top io games on the Android platform in Denmark showcased varied performance trends across key metrics such as weekly downloads, revenue, and active users. Data from Sensor Tower provides insights into these trends.
Snake Clash!, developed by Supercent, Inc., experienced a noticeable increase in weekly downloads, peaking at 1.4K in the final week of December. Its weekly revenue saw fluctuations, reaching approximately $91 in the same period. The game's active user base also rose, ending the quarter with about 7.9K users.
Paper.io 2 from VOODOO had a steady growth in downloads, peaking at 1.3K in late December. Revenue, however, remained relatively stable, with minor fluctuations, ending the quarter around $42. The active user count saw a rise, reaching nearly 3.9K by the end of December.
Agar.io, published by Miniclip.com, maintained a consistent pattern in downloads, with numbers hovering around 50 throughout the quarter. Revenue was stable, ending with approximately $25, while active user numbers remained steady, closing at around 305.
Worms Zone .io - Hungry Snake from CASUAL AZUR GAMES saw a significant increase in downloads by the end of December, reaching 264. Revenue experienced an uptick in the final weeks, peaking at $33. Active users also grew, reaching 801 by the quarter's end.
Snake.io - Fun Snake .io Games by Kooapps Games showed a consistent rise in downloads, culminating at 849 in the last week of December. Revenue trends fluctuated, ending the quarter at $19, while the active user count increased to about 2.9K.
These trends highlight the varying dynamics of the io game market in Denmark, with each app showing unique patterns in user engagement and monetization. More insights can be explored through Sensor Tower's comprehensive data analysis.