Mobile App Analytics: Twelve Metrics To Measure Success
Understanding who uses your app and how they interact with it separates successful apps from abandoned ones. Mobile app analytics answer two fundamental questions that drive every product decision you'll make.
Who is using the app? How many people have installed it, how many have signed up, where they're from, what devices they're using—the demographic and acquisition data that shapes your marketing.
How are they using it? Which sections they visit most, what they enjoy, what they seem to dislike, how long they engage, how much time they spend—the behavioral data that shapes your product.
Whether you're building with Adalo's AI-powered app builder or another platform, tracking the right metrics from day one gives you the foundation for data-driven growth. Here are the twelve KPIs every app creator should monitor.
Key Performance Indicators To Track
Key performance indicators (KPIs) for mobile app analytics are industry-standard metrics that help you track and report on your app's performance, uptake, and usage. Tracking KPIs is also essential for attracting investor attention—they want to see concrete numbers, not vague claims about "growing engagement."
Tracking mobile app KPIs should be baked into your development and marketing plans from the start. Define which success metrics and performance metrics matter most for your specific app type before you launch.
#1 Downloads
The number of times your app gets downloaded to a device is the easiest and most obvious way to track uptake. This is your top-of-funnel metric—the raw interest in your app before any commitment.
#2 Installs
Actual app installations may differ from download numbers, so this provides a more accurate picture of your app's popularity. Someone might download but never complete the installation process.
#3 Uninstalls
While you may not know exactly why someone uninstalled your app, you can corroborate the timing with events like updates or feature changes. A spike in uninstalls after a specific release tells you something went wrong.
#4 Registrations
Deciding whether to register and enter personal data indicates whether users are committed to your app idea. The benefit of capturing email addresses or other contact information is that you can maintain communication with them—critical for re-engagement campaigns.
#5 Subscriptions
If your app offers subscription options for new content or updates, track both the number of signups and the time-to-subscribe after installation. The average subscription length gives you insight into long-term user value and helps predict revenue.
#6 Retention Rate
This measures returning users after a fixed time period. Retaining users indicates you've created a "sticky" app—one people consistently come back to.
Retention predicts future monetization because it increases prospects for in-app purchases and drives higher ad revenue. Define timeframes that work for your business model. Most businesses analyze 7-day, 30-day, 60-day, and 90-day retention.
The formula is straightforward:
Retention Rate = (# Users on day z / # Users on day a) x 100
Where 'z' and 'a' are your chosen time periods.
#7 Active Users
Active users differ from download counts because they measure actual engagement. Someone installing your app doesn't mean they'll use it—the average smartphone has dozens of untouched apps.
To improve active user numbers, entice people to open the app more frequently through promotions, notifications, and rewards. Adalo is a no-code app builder for database-driven web apps and native iOS and Android apps—one version across all three platforms, published to the Apple App Store and Google Play. Its native apps support push notifications out of the box, making re-engagement campaigns straightforward to implement.
#8 Sessions
The number of times a user opens your app counts as sessions. Like retention, this indicates stickiness and popularity. Define what time period constitutes a single session for your analytics—typically, a new session starts after 30 minutes of inactivity.
#9 Daily Active Users (DAU)
The number of unique users who engage with your app each day. This is your pulse check on daily engagement health.
#10 Monthly Active Users (MAU)
The number of unique users engaging with your app monthly. Adalo's modular infrastructure scales to support apps with over 1 million MAU, with no upper ceiling—important to know as your app grows.
#11 Stickiness
Stickiness determines engagement by measuring how often people return. Calculate it by dividing daily active users (DAU) by monthly active users (MAU) to get a percentage.
The higher the percentage, the more often users return. But remember: not all apps are designed for daily use. A tax preparation app has different stickiness expectations than a social media app. Define what "active user" means for your specific use case.
#12 Churn Rate
The rate at which active users unsubscribe or uninstall your app. You want this number low. High churn typically indicates functionality issues, performance problems, or stale content.
Retention rate shows how many people stick around; churn rate measures how many leave. The calculation is simple:
1 – retention rate = churn rate
Putting KPIs Into Practice
These twelve metrics form the foundation for optimizing your app and planning monetization strategies. But tracking them requires the right infrastructure from the start.
When building with Adalo, you can integrate analytics tools directly into your app and store user behavior data in your database. With no record limits on paid plans and no usage-based charges, you can track granular user events without worrying about hitting data caps or unexpected bills as your user base grows.
The platform's X-Ray feature also identifies performance issues before they affect users—helping you catch problems that might otherwise show up as mysterious spikes in your churn rate.
Beyond Basic Metrics
These twelve KPIs give you a solid foundation, but they're just the beginning. If you're running paid marketing campaigns, you'll want to track cost per acquisition (CPA), return on ad spend (ROAS), and attribution data. For apps with in-app purchases, average revenue per user (ARPU) and lifetime value (LTV) become critical.
The key is starting with these fundamentals and expanding your analytics as your app matures. Track what matters for your current stage, and add complexity as you scale.
FAQ
Why choose Adalo over other app building solutions?
Adalo is an AI-powered app builder that creates true native iOS and Android apps from a single codebase. Unlike web wrappers, it compiles to native code and publishes directly to both the Apple App Store and Google Play Store—handling the hardest part of launching an app automatically.
What's the fastest way to build and publish an app to the App Store?
Ada, Adalo's AI builder, lets you describe what you want and generates your app. Magic Start creates complete app foundations from a description, while Magic Add adds features through natural language.
Adalo's drag-and-drop interface lets you build visually, while AI-assisted features like Magic Start generate complete app foundations from descriptions. The platform handles the App Store submission process, eliminating the technical barriers that typically slow down launches.
Can I easily track app analytics and KPIs for my mobile app?
Yes, Adalo apps integrate with analytics tools to track key performance indicators. You can monitor downloads, active users, retention rates, and engagement metrics to understand performance and make data-driven improvements.
What is the difference between downloads and installs as app metrics?
Downloads refer to the number of times an app is downloaded to a device, while installs track when the app is actually installed and set up. These numbers can differ, making it important to track both for an accurate picture of uptake.
How do I calculate my app's retention rate?
Retention rate is calculated using the formula: (# Users on day z / # Users on day a) x 100, where 'z' and 'a' are your chosen time periods. Common timeframes include 7-day, 30-day, 60-day, and 90-day retention.
What does 'stickiness' mean in app analytics?
Stickiness measures how often users return to your app, calculated by dividing daily active users (DAU) by monthly active users (MAU). A higher percentage indicates more frequent returns, though expected stickiness varies by app type.
How can I improve my app's number of active users?
Entice users to open the app more frequently through promotions, push notifications, and rewards. Tracking sessions, DAU, and MAU helps you understand current engagement and measure the effectiveness of retention strategies.
Will tracking detailed analytics increase my app costs?
With Adalo's paid plans, you get unlimited database records and no usage-based charges, so you can track granular user events without worrying about data caps or unexpected bills as your user base grows.