AI Insights · Timothy · July 2024
Q2 2024 UK iOS Consumer Finance Apps Performance Recap
A look into the UK's top iOS Consumer Finance apps during Q2 2024 reveals trends in downloads, revenue, and user activity. Sensor Tower provides detailed insights into the sector's dynamics.
In the second quarter of 2024, the UK's iOS Consumer Finance category saw varied performances from leading applications. Sensor Tower's data offers a snapshot of the trends in downloads, revenue, and weekly active users for the top apps in this sector.
Emma - Budget Planner Tracker experienced a fluctuating trend in revenue, starting with $12K in the first week of April and dipping to $4K by mid-June, before making a slight recovery to $8K at the end of the quarter. Downloads showed a descending trend from 6K to 5K, while weekly active users decreased from 87K to 81K.
Splitwise showed an upward revenue trend, starting at $3K and growing to $7K by late June. Downloads for the app also saw a steady increase, from 9K in early April to over 16K towards the quarter's end. Weekly active users started at 30K, dipped slightly in mid-April, and rose to 29K by the end of June.
For Budget Planner l Snoop Money, revenue varied throughout the quarter, beginning at $5K, dropping to around $2K mid-quarter, and then peaking at $6K in early June. The app's downloads saw a general increase from 5K to over 5K, while active users remained steady around 40K.
YNAB had modest revenue figures that ranged from $2K to $3K, with a notable peak at the end of April. Downloads were relatively low, with the highest at 691 in late May, and weekly active users hovered around 1.9K.
Lastly, Banktivity showed minimal activity with revenue oscillating between $580 and $881, and downloads remained in the single digits throughout the quarter. Due to the absence of data on weekly active users, the app's engagement levels remain unclear.
For more detailed insights into these apps and the Consumer Finance category, Sensor Tower's comprehensive analytics platform provides a deeper dive into the data.