Elevate and iterate with robust mobile app analytics.

Mobile app analytics refers to the measurement and analysis of data generated when users interact with mobile applications. Just like web analytics that tracks and reports on website traffic, mobile app analytics provide insights into user behavior, app performance, and many other metrics relevant to the app’s operations and user experience.

Here are some of the core aspects of mobile app analytics:

1. User Journey & Engagement: This looks at how often, how long, and how deeply users are engaging with the app. Metrics like daily active users (DAUs), monthly active users (MAUs), session durations, and frequency of use can provide insights into this. You can also look at journey analysis and use heatmaps to analyze behavior on particular elements of the application.
2. User Retention and Churn: It’s critical for app developers to know how many new users continue to use the app after a certain period (retention) and how many abandon it (churn). It’s also important to understand “why” which is where it can be helpful to conduct look at friction impacting the user experience.
3. In-app Behaviors: By tracking which features users engage with, which screens they visit most, and how they navigate through the app, mobile teams can gain insights into how to improve the user experience based on the intent of their users.
4. Conversions: Depending on the app’s goals, conversion could mean different things. For e-commerce apps, it could be a completed purchase. For travel apps, it might mean changing a flight without calling into the call center. For Analytics tools help track and optimize for these goals.
5. App Performance: Beyond just user behavior, mobile app analytics can also help monitor app crashes, slow-loading times, and other performance-related issues.
6. User Feedback and Reviews: While this is more of an indirect metric, analyzing user feedback and reviews can provide insights into what users like or dislike, which can then be used to enhance the app experience. Having the ability to explore the “why” behind negative reviews allows mobile app teams to be more proactive and responsive.

Analyzing mobile apps can be approached from multiple perspectives, depending on the goals. Here’s a guide on how to analyze mobile apps:

1. Key Performance Indicators (KPIs)

Identify the main metrics that will give you insights into how well your app is performing relative to your goals. Some common KPIs include:

• • User Acquisition: Number of downloads, source of downloads (organic, paid, referral, etc.).
  • Engagement: Daily/Monthly Active Users (DAU/MAU), session duration, frequency of use.
  • Retention: Number of users who continue using the app after a given period.
  • Churn: Number of users who stop using the app.
  • Conversions: Actions you want users to take, e.g., making a purchase, signing up, etc.
  • Monetization: Revenue generated, in-app purchases, ad revenue, etc.
  • App Performance: Loading times, crash rates, and other technical metrics.
• Friction analysis: How often your customers are experiencing friction in your mobile app.
• NPS: How likely customers are to recommend your app to a friend.

1. User Behavior Analysis

Track user paths and actions within the app:

• • Screen (Journey) Flow: Observe how users move from one screen to another.
  • Feature Use: Determine which app features are most and least used.
  • Event Tracking: Monitor specific actions users take, like button clicks, form submissions, etc.
• Heatmaps: Analyze which parts of the app views are being engaged with
• Session replay: See how users actually navigate through the application to understand intent and better understand reported issues. 

1. Segmentation

Divide your user base into different segments based on demographics, behavior, or other criteria. This helps in understanding specific user group behaviors better.

1. A/B Testing

If you want to optimize app features or interfaces, consider doing A/B tests. This involves presenting two different versions of a feature to different user groups and analyzing which one performs better. You can use experience analytics platforms to understand the “why” behind A/B testing results and many even offer side by side analysis.

1. Feedback Analysis

Collect feedback through in-app surveys, app store reviews, and direct communications. Understanding user feedback can highlight areas for improvement. Past the verbatim feedback you can use analytics platforms to watch the session replay that led to the feedback.

1. App Performance Analysis

Monitor technical aspects of the app:

• • Crashes: Identify the reasons for app crashes to enhance stability.
  • Latency: Monitor load times for different features to ensure a smooth user experience.
  • Device & OS: Analyze which devices and OS versions your app is being used on to ensure compatibility.
• API performance: Surface slow or non performing APIs.

1. Competitive Analysis

Compare your app’s performance and features against competitors.

1. Regularly Review & Adjust

Mobile app analytics isn’t a one-time activity. Regularly review the data, gain insights, make necessary adjustments, and measure the impact of those changes.

By continually monitoring key metrics and gathering feedback, you can ensure your app evolves with its users and remains competitive in the marketplace.

That’s the beauty of the Quantum Metric mobile app analytics platform. If you need to track a custom event, you can configure the event remotely via our UI and start key metrics tracking in minutes. No need to go into your application code and push new releases. This vastly speeds up the time to insight for product and analytics teams as they are not fully dependent on engineering for analytics tagging.

Many enterprises have web AND native applications to comprise their entire customer experience. Our native capture method enables you to render native application replays in the same replay engine as web-based replays. This means that there is near parity between the analysis capabilities for web and mobile session. Also this ensures you can access data across all of your digital properties in a single platform.

We can’t defy the laws of physics, so the SDK does add the smallest amount of overhead. However, it’s imperceptible to your end users. Get in touch to put us to the test. The amount of data our SDK captures in relation to its low overhead is one of the many reasons the Fortune 500 chooses Quantum Metric for their mobile apps.

You need to deploy our SDK into your application code. However, all configurations (custom events) after that can be done via our web-based UI.

Read more about our commitment to data privacy and security. Our configurable security practices are one of the reasons we’re trusted on leading mobile banking and insurance applications. Our patented capture method allows us to set the standard for mobile app analytics providers.