What is the difference between active and inactive users in mobile app analytics?

Most of the time, this depends on the type of app you have. An travel company app and a marketplace app measure what constitutes an active user in different ways. Of course, it’s just a matter of “active user value.” You can still track Monthly Active Users (MAU) and Daily Active Users (DAU) as it is, but the value you put on it differs. In another sense, when you need to freak out about when data isn’t good also varies.

Users who have launched the app at least once after installation. * Examples: Users who have opened the app, viewed a screen, or performed an action within the app. * Importance: Active users are more valuable than inactive users because they indicate engagement and usage of the app. The more active users you have, the more likely your app is to generate revenue, retain users, and grow its user base. * Metrics: Active users can be measured using events such as launches, opens, clicks, purchases, or other desired actions within the app.

In my experience, the most useful time period is monthly (MAU), and if a user doesn't use the App at least once in the month, they become inactive. It's important to be able to compare apples with apples and the month is meaningful for almost all apps. But of course, some outlying cases require different time periods - say for an app designed to be used during the summer holidays, where a 10-month gap doesn't mean you're inactive, just not on holiday.

An inactive user is a user who does not open the app one or more times during the day. Sometimes user opens up the app but does not have a good time spent it is also a type of Inactive user.

I agree with this definition. Engagement levels can also be a differentiator when measuring active and inactive users. A user might be technically active but effectively dormant if not engaged with the app's core features. This fact amplifies the need for a solid onboarding process to ensure users engage meaningfully with the app, achieving valuable "aha" moments early on, which reduces inactivity.

When you develop an app you must consider the active-inactive user ratio for better return on investments. If your app has more inactive users or more uninstall ratio it indicates that your app user experience is not good enough. If active user is high it means you have given a good user experience.

Whenever the app opens up you can send an event to Firebase Server. It will store and log the event which you can later use for the analysis. When a user opens an app one or more times during a single day consider it an Active User. An inactive user is when the app is not open for two days or more. You can consider the user inactive. There are some reasons for inactive users. - Users want it to be used only one time - New update of the app may not be good - If the app is based on a server and it may have a glitch

Measuring these metrics is more efficient using cohort analysis. When you have an effective growth mechanism in place, cohort analysis provides a clear understanding of how each batch of users remains active and how their behavior changes over time. It’s useful for uncovering clues and trends to optimize your strategy and product.

Increasing Active users is most important when you deal with an app. You can increase active users by giving unique features to the app - You can introduce a loyalty point system for your app. - Send push notifications at regular intervals to notify users. - Optimize App Start-Up Time - Make the Landing Page Or Dashboard Clean and easy for users

Increasing active users and decreasing inactive users are strategic outcomes of combining product development and marketing efforts. People may not use an app or become inactive for various reasons. Often, the issue is straightforward: the app’s value isn’t as compelling as it needs to be for the user. The key to avoiding this pitfall is to ensure new users fully understand the app’s core value. A thorough onboarding process and a robust activation mechanism can help with this; users should find help and resources as easily as possible. Marketing comes next. The acquisition and the quality of the users directly affect retention rates. Effective targeting is essential, which requires a deep understanding of your target audience.

Retention Rate Calculation Mobile app analytics often involve calculating retention rates for active and inactive users. The retention rate measures the percentage of users who continue to engage with the app over time. Active users typically have higher retention rates, while inactive users have lower retention rates. Understanding and comparing these rates can help app developers gauge the app's long-term success in retaining users.

Increasing active users and decreasing inactive users is the usual goal. However, the world is changing, and as sustainability becomes ever more critical, app developers might look for the optimum usage rather than the maximum usage. If a new app delivers the service I need with fewer interactions, that can become a USP. Even if saving the planet isn't your primary driver, remember that Google initially wiped out the competition in search engines by offering a service that delivered the results with less interaction...