Understand the daily, weekly and monthly active users of the mobile app economy’s top apps, both in historical and current views, to understand changes in audience growth over time. Filter by Sensor Tower global fields, custom fields or Game Intelligence genre taxonomy to segment the apps your business cares about most.
Create engagement benchmarks for competitor daily, monthly and weekly active users over time
Understand on a deeper level how users stay engaged on mobile apps
See which demographic groups are likely to engage with your competitors
Zoom into the usage behavior of an app’s core audience and analyze patterns in retention. Dive deep into total sessions by daily active users, from all-time as well as monthly and quarterly views. Or, break down by time spent by daily active users to get a better understanding of the length of app sessions among the most engaged users.
Dive deep into your target user and how they are engaging with mobile. Break down user engagement for major apps by session length, number of sessions, and time spent and identify demographics of major apps’ user bases, including estimates on age and gender composition of users. Plus, leverage App Overlap to see which users of a particular app are likely to engage with other apps on their phone.
“Sensor Tower's platform enables our team to respond to mobile trends in an agile and forward-thinking way, so we can stay ahead of competitors and drive growth in this fast-paced mobile ecosystem.”
Tesla's second quarter earnings and revenue exceeded expectations, but a weak production outlook for the third quarter caused a decline in share price. The company's mobile app downloads reached a record high in the quarter, indicating potential growth in services and other revenue. Trainline, a European travel app, has experienced significant year-over-year growth in downloads and monthly active users, benefiting from the resurgence of travel in post-lockdown Europe. The app has a strong presence in the UK market and has also seen substantial growth in smaller European countries like Spain.
According to ST data, Uber and Lyft experienced increased demand in the global summer travel season, with Uber's monthly active users (MAUs) growing by 7% YoY and Lyft's MAUs growing by 8% YoY in 2Q23. However, the YoY growth was lower compared to the previous two years. Uber's international presence contributed to its performance, with 17% of its MAUs coming from the US and 88% for Lyft. Uber also saw significant growth in rest-of-world markets, representing 42% of its MAUs in 2Q23. Additionally, Uber outperformed Lyft in driver supply growth, with its driver app experiencing an 18% YoY increase in MAUs compared to 7% for Lyft. Uber also saw an increase in weekly average time spent and sessions, particularly on the Uber Driver app, suggesting more trips or longer trips as drivers used the app more frequently.