How to find out where users are deleting your app
Fountain Analysis and Drop-Off Spots
The first step in identifying "drop-off spots" is to meticulously map the "conversion funnel" within tools like Firebase or Mixpanel. This funnel tracks every step a user takes from the moment they download the app until they complete the desired task. When you notice a sharp drop-off at a specific stage, such as the "data registration page" or "payment card linking," you're facing a potential "drop-off spot." Often, this is due to an unnecessarily complex information request or technical obstacles that frustrate the user, leading them to immediately delete the app to free up phone memory. At Grand, we believe that funnel monitoring is the compass that guides our development team in fixing the problems caused by poor design.
Monitoring "First Shock" and Onboarding
Recent statistics for 2026 indicate that a significant percentage of app drops occur within the first 24 hours. The root cause is a "failed first impression." You should monitor the bounce rate during the app's onboarding process. If a user finds themselves overwhelmed by complex instructions or an unclear user interface, they won't hesitate to delete the app. By using Session Recording tools, you can observe how the user interacts with the first three screens. If they repeatedly try to click on non-interactive elements or get lost in menus, that's where you're losing customers. Simplifying the initial journey is the quickest way to minimize customer acquisition losses.
Track App Crashes and Technical Failures
There's no stronger trigger for app deletion than a sudden crash. Using advanced tools like Crashlytics, you can pinpoint the exact moment and context of the app's malfunction. Sometimes, deletion is caused by slow data loading or excessive battery and RAM consumption, prompting the operating system itself to suggest deleting your app. Detecting and categorizing these crashes by device type and operating system version allows you to understand why users of certain devices delete your app while others don't. Technical stability isn't a luxury; it's the safety valve that prevents users from switching to a competitor offering a smoother and more stable experience.
Cohort Analysis and Understanding Targeting Quality
Sometimes the problem isn't the app itself, but rather the "type of visitors" your marketing campaigns are bringing in. Cohort analysis allows you to segment users into groups based on download date or ad source. If you discover that 90% of users coming from a particular ad platform delete the app within the first hour, while those from another platform stay for weeks, it means your marketing message on the first platform is "misleading" or attracting an untargeted audience. This discovery can save you thousands of riyals, as you can redirect your budget towards channels that attract "real customers" who find genuine value in what you offer, thus increasing customer life value (LTV) and reducing the phenomenon of mass deletes.




