AI Insights · Timothy · October 2024
Top 5 Consumer Finance Apps on Unified Platform in Lebanon, Q3 2024
Explore the download trends of the top consumer finance apps in Lebanon during Q3 2024, with data insights from Sensor Tower.
During the third quarter of 2024, Lebanon's top consumer finance apps on the unified platform, which includes both iOS and Android, demonstrated varied performance in terms of weekly downloads. According to Sensor Tower data, these apps have shown distinct trends in the market.
neo by Bank Audi saw a notable increase in weekly downloads, starting with approximately 1.6K in early July and peaking at around 3.5K by late August. The app maintained a strong download rate, closing the quarter with over 3.1K downloads in the last week of September.
eBLOM Lebanon had a modest download performance, starting at 261 downloads at the beginning of the quarter. The app experienced minor fluctuations, with a peak of 398 downloads in late August, before stabilizing at just over 200 downloads by the end of September.
Cash Book- daily expenses maintained a consistent user base, with weekly downloads ranging between 100 and 300. The app started the quarter with around 254 downloads and saw its highest downloads in late August at 294. Weekly active users hovered around 1.8K to 2K, showing a slight dip mid-quarter but rebounding by the end.
My BLF experienced a gradual increase in weekly downloads. Starting at 188 in early July, the app saw a significant spike in the last week of September with a download count reaching 261, indicating a positive trend towards the end of the quarter.
Byblos Bank Mobile Banking showed a steady download pattern throughout the quarter. Weekly downloads ranged from 134 to 195, with the highest numbers recorded in the final weeks of September.
These insights, derived from Sensor Tower data, highlight the dynamics of consumer finance applications in Lebanon for Q3 2024. For more detailed analytics and insights, Sensor Tower remains a valuable resource for tracking app performance across various metrics.