AI Insights · Timothy · April 2022
Top 5 Consumer Finance Apps on Android in Dominican Republic Q1 2022
Explore the performance of the top 5 consumer finance apps on Android in the Dominican Republic during the first quarter of 2022, based on weekly downloads, revenue, and active users.
The first quarter of 2022 saw varied performance among the top consumer finance apps on the Android platform in the Dominican Republic. Here’s a closer look at the weekly trends in downloads, revenue, and active users for the top 5 apps.
Wallet: Budget Expense Tracker from BudgetBakers experienced modest fluctuations in weekly revenue, peaking at around $101 in both the first and last weeks of January. Weekly downloads varied, with a high of 234 in mid-February, while weekly active users showed a steady increase, reaching a peak of 1.2K in the last week of March.
Mobills: Budget Planner by Toro Investimentos had a relatively stable revenue stream, with weekly earnings slightly decreasing from $58 at the start of January to around $17 by the end of March. Downloads saw an upward trend in late March, peaking at 68. Active users showed a slight decline, starting from 1.2K in early January and ending at 1.1K in late March.
1Money: expense tracker budget by Svyatoslav Vlasov saw its revenue peak at $34 during the first week of January before fluctuating and settling at around $11 by the end of March. Downloads peaked at 220 in late February but dropped significantly to 41 by the end of the quarter. Active users exhibited a gradual decrease from 2.1K in early January to approximately 1.5K by the end of March.
Zaim from Kufu AI Studio showed consistent yet minimal revenue, averaging around $8 to $24 per week. There were no recorded downloads or active user data for this period.
Bankin' by Bankin SAS maintained a steady but low revenue stream, averaging around $7 to $21 weekly. Downloads were minimal, with a peak of 9 in late January. Active users remained relatively stable, fluctuating between 74 and 96 throughout the quarter.
These insights are based on data from Sensor Tower. For more detailed analytics and insights, visit Sensor Tower.