GITNUX MARKETDATA REPORT 2023

Must-Know Mobile App Usage Metrics

Highlights: The Most Important Mobile App Usage Metrics

  • 1. Daily Active Users (DAU)
  • 2. Monthly Active Users (MAU)
  • 3. Session Duration
  • 4. Time in App
  • 5. Retention Rate
  • 6. Churn Rate
  • 7. Stickiness
  • 8. Screen Flow
  • 9. User Acquisition
  • 10. App Installations
  • 11. App Open Rate
  • 12. Conversion Rate
  • 13. Lifetime Value (LTV)
  • 14. Load Times
  • 15. Abandonment Rate
  • 16. Ratings and Reviews

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Mobile App Usage Metrics: Our Guide

As the mobile app market continues to explode, understanding key performance indicators has never been more critical. This blog post will delve into the must-know mobile app usage metrics that app developers and marketers should monitor to drive success. From user engagement and retention to in-app purchases, we’ll unpack the numbers that truly matter.

Daily Active Users - DAU is the number of unique users who interact with an app on a daily basis. This metric helps measure user engagement and loyalty.

Daily Active Users

DAU is the number of unique users who interact with an app on a daily basis. This metric helps measure user engagement and loyalty.

Abandonment Rate - The percentage of users who leave the app before completing a specific action, such as registration or checkout. This can indicate pain points in the user experience or highlight areas.

Abandonment Rate

The percentage of users who leave the app before completing a specific action, such as registration or checkout. This can indicate pain points in the user experience or highlight areas.

Load Times - The average time it takes for an app to load fully, impacting user experience, especially on first launch. Faster load times can lead to better user engagement and retention.

Load Times

The average time it takes for an app to load fully, impacting user experience, especially on first launch. Faster load times can lead to better user engagement and retention.

Lifetime Value - The total financial value a user brings to an app throughout their entire usage. LTV helps evaluate user acquisition costs, return on investment, and long-term app profitability.

Lifetime Value

The total financial value a user brings to an app throughout their entire usage. LTV helps evaluate user acquisition costs, return on investment, and long-term app profitability.

Conversion Rate - The percentage of users who take a desired action, such as making a purchase, subscribing, or registering. This metric can help evaluate the effectiveness of in-app engagement.

Conversion Rate

The percentage of users who take a desired action, such as making a purchase, subscribing, or registering. This metric can help evaluate the effectiveness of in-app engagement.

App Open Rate - The percentage of push notifications that lead to users opening the app. It can help determine the effectiveness of push notifications and in-app messaging strategies.

App Open Rate

The percentage of push notifications that lead to users opening the app. It can help determine the effectiveness of push notifications and in-app messaging strategies.

App Installations - The total number of times an app has been installed on devices. This can help gauge the app’s popularity and potential user base.

App Installations

The total number of times an app has been installed on devices. This can help gauge the app’s popularity and potential user base.

User Acquisition - The number of new users who download and install the app during a set time period. This is an essential metric for analyzing growth and reach.

User Acquisition

The number of new users who download and install the app during a set time period. This is an essential metric for analyzing growth and reach.

Screen Flow - A visual representation of a user’s navigation path through an app’s screens, providing insights into user experience and potential bottlenecks or navigational issues.

Screen Flow

A visual representation of a user’s navigation path through an app’s screens, providing insights into user experience and potential bottlenecks or navigational issues.

Stickiness - It is the ratio of DAU to MAU, which measures the level of user engagement as it relates to app usage frequency. A higher stickiness percentage indicates better user engagement.

Stickiness

It is the ratio of DAU to MAU, which measures the level of user engagement as it relates to app usage frequency. A higher stickiness percentage indicates better user engagement.

Churn Rate - The percentage of users who abandon the app over a certain period, providing insights into potential issues with the app’s user experience or value proposition.

Churn Rate

The percentage of users who abandon the app over a certain period, providing insights into potential issues with the app’s user experience or value proposition.

Retention Rate - The percentage of users who continue to use the app over a specific period of time, indicating how successful the app is at keeping users engaged and preventing churn.

Retention Rate

The percentage of users who continue to use the app over a specific period of time, indicating how successful the app is at keeping users engaged and preventing churn.

Time In App - The total amount of time spent in the app by all users collectively, showing how engaged they are with the app’s content.

Time In App

The total amount of time spent in the app by all users collectively, showing how engaged they are with the app’s content.

Session Duration - This metric calculates the average length of user sessions, providing insight into how long users spend within an app in a single visit.

Session Duration

This metric calculates the average length of user sessions, providing insight into how long users spend within an app in a single visit.

Monthly Active Users - Similar to DAU, this is the number of unique users who use the app within a month. It provides a broader picture of user engagement over an extended period of time.

Monthly Active Users

Similar to DAU, this is the number of unique users who use the app within a month. It provides a broader picture of user engagement over an extended period of time.

Frequently Asked Questions

Mobile app usage metrics are quantitative measurements that help analyze the performance, user engagement, and overall success of a mobile application. These metrics are important as they help app developers and owners make data-driven decisions, identify areas of improvement, and track the app’s performance over time.
Some key mobile app usage metrics to track include the number of active users (daily, weekly, and monthly), session duration (average time spent by users in the app), retention rate (percentage of users returning to the app over a certain period), user churn, and in-app events or conversions (such as purchases or other specific user actions).
Tracking mobile app usage metrics provides insights into user behavior, helping app developers and owners understand the aspects of the app that users find engaging or frustrating. By identifying trends and problem areas, developers can focus their efforts on optimizing and updating the app to better cater to user needs and preferences, ultimately enhancing the overall user experience.
There are numerous tools available for collecting and analyzing mobile app usage metrics, some of which include Google Analytics for Mobile, Firebase Analytics, Mixpanel, Flurry, Localytics, and Amplitude. These tools provide detailed insights into user behavior, allowing app owners to make informed decisions for their app’s future development and enhancements.
App developers can respect user privacy by being transparent about data collection through clear and concise privacy policies. They should also offer users control over their personal data and only collect the information needed for app performance analysis. Additionally, anonymizing or aggregating data can minimize privacy risks, as individual users cannot be identified through their data. Lastly, complying with relevant data protection laws and regulations, such as GDPR or CCPA, will ensure developers meet the necessary privacy standards.
How we write these articles

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.

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