AI Insights · Timothy · January 2023
Top 5 Ultracasual Games on iOS in Colombia, Q4 2022
Explore the performance of the top ultracasual games on iOS in Colombia during Q4 2022, with insights into their weekly downloads, revenue, and active users.
During the fourth quarter of 2022, the top ultracasual games on iOS in Colombia showcased varied performance trends in terms of weekly downloads, revenue, and active users. Let's dive into the specifics for each game.
Slime it: Slime Game Simulator from Slime4Fun experienced a steady revenue stream throughout the quarter. Weekly revenue hovered around $50, peaking at $57 in the last week of December. However, weekly active users saw a slight but consistent decline, dropping from 478 in late September to 400 by the end of December.
World of Slime Simulator Games by Solid Apps INC had a relatively stable revenue pattern, with weekly earnings generally around $25-$30. Notably, the highest revenue was $32 in mid-November. The game had modest download numbers, peaking at 5 downloads in the final week of December.
Jelly Dye:Satisfying ASMR Game from AI Games FZ showed a positive revenue trend, starting at $9 in early October and reaching $15 by the end of December. Weekly downloads fluctuated, with a notable increase to 89 downloads in the last week of December. The active user base also saw a resurgence towards the end of the quarter, climbing from 108 in late November to 175 in late December.
Goo: Slime simulator, ASMR by Exomind LTD had a more inconsistent revenue pattern. Revenue peaked at $17 in early November but dropped to around $4-$5 towards the end of the quarter. Download and active user data were not available for this game.
Lastly, Automatoys from Idle Friday presented an interesting case with fluctuating metrics. Weekly revenue peaked at $23 in mid-October and saw another spike to $18 in mid-December. Download numbers were highest in late October with 130 downloads, and active users decreased from 1407 in late September to 738 by the end of December.
These insights are based on data from Sensor Tower. For more detailed analytics and trends, you can visit their platform.