AI Insights · Timothy · July 2022
Top 5 Carpooling and Ridesharing Apps on Android in Chile Q2 2022
In Q2 2022, the top carpooling and ridesharing apps in Chile showed varied performance trends in weekly downloads and active users, with notable differences across the leading platforms.
The second quarter of 2022 saw diverse trends for the top carpooling and ridesharing apps on the Android platform in Chile. Here, we examine the performance of the top 5 apps based on weekly downloads and active users data from Sensor Tower.
DiDi Rider: Affordable rides
Throughout Q2, DiDi Rider experienced a relatively stable download rate. Weekly downloads ranged from approximately 15.7K to 20.7K, with a peak in early May. Active users fluctuated slightly but remained robust, starting at around 1.04M in late March and ending at just under 1M by the end of June.
inDrive. Save on city rides
inDrive saw a varied trend in weekly downloads, starting at approximately 16.7K at the end of March and peaking at 21.3K by late May. Active users showed a steady increase from around 144K to a high of 162K at the end of May, before settling back to approximately 144K by the end of June.
Uber - Request a ride
Uber's download numbers showed a declining trend, starting at 18.1K at the end of March and dropping to around 13.5K by mid-June. However, active users remained relatively stable, hovering around the 1.1M mark throughout the quarter, with a slight peak in early May at 1.22M.
Uber - Driver: Drive & Deliver
Uber Driver's weekly downloads exhibited a downward trend, beginning at 22.6K in late March and dropping to under 10K by the end of June. Active users remained relatively constant, starting at 125K and slightly declining to around 112K by the end of the quarter.
Beat Passenger: Find your ride
Beat Passenger's downloads showed a significant decrease over the quarter, from 7.2K in late March to around 5.5K by the end of June. Active users also saw a gradual decline, starting at approximately 155K and ending at around 135K.
These insights are based on data from Sensor Tower. For more detailed analysis and insights into the performance of these apps, visit Sensor Tower.