AI Insights · Timothy · April 2022
Top 5 Personal Finance Budgeting and Planning Apps on iOS in Denmark, Q1 2022
Q1 2022 saw notable performances from Buddy, Acubiz, YNAB, Spendee, and Monefy in Denmark on iOS. Insights reveal trends in downloads, revenue, and active users.
In Q1 2022, the top 5 personal finance budgeting and planning apps on iOS in Denmark demonstrated various trends in weekly downloads, revenue, and active users. Here’s an overview of their performance:
Buddy: Budget Planner App Buddy from Buddy Budgeting AB saw a fluctuating pattern in weekly revenue, peaking at around $270 in mid-January before experiencing a drop and then rising again to $218 in late March. Downloads were highest at the start of the quarter with 438 in the first week of January, and active users peaked at 422 during the same period, later stabilizing to around 239 by the end of March.
Acubiz Acubiz A/S’s app had a steady increase in downloads, reaching 692 in the last week of March. Revenue showed varied results, with the highest weekly revenue recorded at $61 in mid-January. The app did not provide data on weekly active users.
YNAB You Need A Budget LLC’s YNAB displayed consistent active user engagement, maintaining around 160 users throughout the quarter. Revenue experienced spikes, notably $104 in mid-February and $137 at the end of March. Downloads remained relatively low, with a peak of 55 in mid-March.
Spendee Money & Budget Planner Spendee from Cleevio s.r.o. had modest download numbers, with the highest being 39 in the first week of January and at the end of February. Weekly revenue also remained low, peaking at $36 in mid-March. Active users were stable around 99 to 130 throughout the quarter.
Monefy: Money Tracker Reflectly ApS's Monefy experienced a significant download surge with 848 in the last week of February. Revenue peaked at $60 mid-January and showed occasional spikes. Active users followed a similar trend, peaking at 828 in late February before stabilizing to around 279 by the end of March.
These insights are based on data from Sensor Tower, where more detailed analytics can be found.