GITNUX MARKETDATA REPORT 2023
Must-Know Mobile Application Metrics
Highlights: The Most Important Mobile Application Metrics
- 1. Active users
- 2. Downloads
- 3. Retention rate
- 4. Churn rate
- 5. Session duration
- 6. Sessions per user
- 7. Screen flow
- 8. Time in app
- 9. Acquisition source
- 10. In-app purchases
- 11. Revenue per user (RPU)
- 12. Customer lifetime value (CLTV)
- 13. Cost per acquisition (CPA)
- 14. App crashes
- 15. Ratings and reviews
- 16. Conversion rate
- 17. User demographic data
Table of Contents
Mobile Application Metrics: Our Guide
In an era where mobile applications rule the digital market, understanding key performance metrics becomes fundamental for success. This blog post will demystify the essential mobile application metrics that every app developer and marketer should know. Dive in, to discover how these metrics can help optimize your app, maximize user engagement, and significantly boost your profits.
Active Users
The number of people who have used the mobile application within a specific timeframe, often measured as daily active users (DAU), weekly active users (WAU), and monthly active.
Ratings And Reviews
The average rating and user feedback for the app in the app store. High ratings and positive reviews can boost the app’s credibility, visibility, and downloads.
App Crashes
The number of times the app has stopped functioning unexpectedly. Frequent app crashes can negatively impact user experience and overall app ratings.
Cost Per Acquisition
The average cost required to acquire a new user, often including expenses for marketing, advertising campaigns, and promotions.
Customer Lifetime Value
Estimation of the total revenue generated by a user throughout their relationship with the app. CLTV helps to evaluate the profitability of a user and allocate resources for user acquisition.
Revenue Per User
Average revenue generated per user within a given period. It includes revenue from in-app purchases, subscriptions, and advertisements.
In-App Purchases
The number of users who make purchases within the app, and the total revenue generated from these transactions.
Acquisition Source
The origin from which users discover and download the app, such as app store, organic search, paid campaigns, or referrals.
Time In App
The total amount of time spent in the app by all users within a given period. This indicator can help to assess the app’s overall stickiness and user engagement.
Screen Flow
A measure of the user’s path through the app, including which screens are visited, in what order, and how long users spend on each screen.
Sessions Per User
The average number of sessions each user has within a given period. This metric helps to understand the frequency of app usage and the level of user engagement.
Session Duration
The average time spent by users within the app during a single session. Long session duration can indicate high user engagement and satisfaction.
Churn Rate
The percentage of users who stop using the app within a specific period, it is the opposite of retention rate. A high churn rate indicates that the app is not meeting the expectations.
Retention Rate
The percentage of users who continue to use the app after a certain time, usually compared to the total user base. Retention rate reflects user engagement and satisfaction with the app.
Downloads
The number of times the mobile application has been installed and downloaded from the app store or other sources.
Frequently Asked Questions
What are mobile application metrics?
Which are the key performance indicators (KPIs) for mobile application metrics?
How do mobile app developers use metrics to improve their apps?
What tools can app developers use to measure mobile application metrics?
Why is tracking user retention rates important for a mobile app?
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.