AI Insights · Timothy · June 2022
Top 5 Personal Finance Budgeting and Planning Apps on Android in Lithuania - Q2 2022
An overview of the performance of the top 5 personal finance budgeting and planning apps on Android in Lithuania during Q2 2022, including trends in downloads, revenue, and active users.
During the second quarter of 2022, the performance of personal finance budgeting and planning apps on Android in Lithuania showed varied trends across different metrics such as downloads, revenue, and active users. Here’s a brief overview of the top 5 apps:
Splitwise experienced fluctuations in weekly downloads, starting at around 212 in late March and peaking at 309 by mid-June. The app's weekly revenue remained relatively steady, hovering around $20, with slight dips and peaks, ending the quarter at approximately $15. Active user numbers saw a significant increase, from 931 in late March to 1.1K by the end of June.
CashCounter: The euro counter had a notable spike in weekly downloads, reaching 684 in mid-May before declining to 73 by the end of June. Active users for this app followed a similar trajectory, peaking at 802 in late May and then decreasing to 372 by the end of the quarter.
Money manager & expenses saw a relatively stable number of weekly downloads, averaging around 140. The app's weekly revenue was consistent at around $4, with minor fluctuations. Active users remained steady, starting at 1K in late March and ending at 1.1K in late June.
Wallet: Budget Expense Tracker had a stable download rate, averaging around 110 per week. Revenue showed a slight decrease over the quarter, from $77 in late March to $35 by the end of June. Active users for this app showed minor fluctuations, starting at 727 and ending at 738.
1Money: expense tracker budget maintained a steady download rate, averaging around 100 per week. Revenue for this app saw a decrease from $35 in late March to $32 by the end of June. Active users showed a slight decline, from 1.9K in late March to 1.7K by the end of the quarter.
These insights are based on data from Sensor Tower. For more detailed analytics and trends, visit Sensor Tower’s platform.