AI Insights · Timothy · July 2021
Top 5 Personal Finance Apps in Czech Republic for Q2 2021
Discover the performance of the top 5 personal finance budgeting and planning apps in Czech Republic during Q2 2021, with insights on downloads, revenue, and active users.
In Q2 2021, the top 5 personal finance budgeting and planning apps in the Czech Republic showed varied performance trends in terms of downloads, revenue, and active users. Here’s a detailed look at their metrics:
Settle Up – Group Expenses from Step Up Labs experienced a notable increase in weekly downloads, starting at 250 and peaking at 1.3K by the end of June. Weekly revenue for the app rose steadily, reaching a high of approximately $112 in mid-June. Active users also saw a significant growth, climbing from 1.5K in late March to 3.5K by the end of the quarter.
Wallet: Budget Expense Tracker by BudgetBakers showed a more fluctuating trend. Weekly downloads varied, with a low of 124 in early May and a high of 366 by the end of June. Revenue peaked at around $616 in late April but saw some decline, ending the quarter at $415. Active users remained relatively stable, averaging around 2K throughout the quarter.
Money manager & expenses from Cleaner + Antivirus + VPN company had consistent weekly downloads, ranging from 152 to 337. Revenue was minimal, peaking at $25 in early June. Active users steadily increased, growing from 566 in late March to 1.2K by the end of June.
Splitwise showed a gradual increase in weekly downloads, starting at 120 and reaching 625 by the end of June. Revenue saw a modest rise, peaking at $39 in late June. Active users followed a positive trend, increasing from 955 in late March to 1.9K by the end of the quarter.
1Money: expense tracker budget by Svyatoslav Vlasov had a relatively stable performance in weekly downloads, fluctuating between 156 and 318. Revenue peaked at $218 in mid-April but settled around $97 by the end of June. Active users showed minor fluctuations, averaging around 3.8K throughout the quarter.
These insights are based on data from Sensor Tower, where more detailed analytics and trends can be explored.