7 Mobile App Analytics Tools You Should Use to Optimize App Performance

Today’s consumers are increasingly dependent on mobile apps. Whether it’s ordering food, booking a cab, buying your favorite shirt, looking for home accessories, or making a transaction, there is an app available for your every action. In short, you can get a lot of tasks done in a fraction of second by using your smartphone. This is why more and more businesses are investing their time, energy and effort in developing a killer app that solves customers’ problems.

Developing an app that offers a unique, personalized experience provides new opportunities for your business to increase its reach and interact with a wider audience. It is important for business to track their app’s performance so that they can make important tweaks and add highly advanced features to make it functional. Fortunately, there is a huge variety of mobile app analytics tools available for marketers, designers and app developers, making it easier for them to achieve their goals.

If you want to build a better understanding of app users and want to improve user journey, using mobile app analytics tools is the key. Here I have listed some of the best mobile app analytics tools for developers and marketers that will help them optimize their apps for better performance.

Let’s explore.

1. Mixpanel

Mixpanel is one of the best mobile app analytics tools that provides an in-depth summary of your app’s performance. With this tool, you can collect important customer information that will eventually help you improve customer experience and retain more users. Mixpanel allows you to identify which features are working best and analyze user behavior with product experimentation and testing. The app analytics tool allows you to create custom reports, figure out user actions by audience segmentation and creating funnels. Mixpanel’s features include A/B testing, funnels, engagement tracking, push notifications, cohort analysis, and detailed event tracking.

2. Firebase

Firebase is a famous mobile app analytics tool that is backed by Google. With Firebase, you can get free and unlimited app analytics. You will get reporting on up to 500 distinct events. The best part is the SDK can automatically capture important events and user properties that matter most to your business. It is suitable for apps of all sizes and platforms, allowing business to make well-informed decisions about your product and marketing optimization. Firebase provides a detailed summary of crash data, deep-link performance, in-app purchase history, notification effectiveness and much more.

3. Apple App Analytics

Apple App Analytics is a great mobile analytics tool for apps published in the App Store. The tool helps you track app store impression, user engagement and offers user segmentation tools. Apple App Analytics tool allows you to get deeper insights into in-app subscriptions, how users find your app and search the store. With this tool, you can get payments and financial reports, measure the performance of your marketing campaign, view the number of unique paying users and much more. The sales and trends feature allows you to understand how your app is performing and conduct deeper analysis. Apple App Analytics tool helps you view first-time downloads of your app, initiated sales, estimated proceeds and much more.

4. Flurry

Flurry is a mobile analytics tool that supports iOS, Android and Windows apps. It is an easy-to-use platform, used by a number of development teams and companies that offer mobile app development services to build better apps. With Flurry, you can track daily new users, active users, time spent by users and much more. You can improve app engagement and user acquisition efforts by understanding how your users use your app.  The analytics tool allows you to run on-demand analysis with explorer funnels, cohorts and more. Flurry is a feature-rich mobile app analytics platform that can handle apps of any size and type. Its light-weight SDK is easy to integrate and offers incredible metrics that lets you track custom events and use product console and API data into your own app.

5. Adjust

Adjust is one of the famous mobile app analytics platforms that is famous for mobile measurement and fraud prevention. The attribution feature allows you to track and attribute users effectively. With Adjust, you can access real-time traffic patterns to make tweaks in your product and measure app performance. It offers customizable event tracking that helps you to tailor events for your app’s specific conversion goals. Adjust’s powerful filters and diverse parameters help the development team to understand user cohort behavior. Audience builder allows you to segment your target audience for retargeting. Adjust’s fraud prevention feature helps marketers and developers to stop fraud from affecting their data and budgets.  

6. AppsFlyer

AppsFlyer is a mobile analytics and mobile attribution platform that is especially designed for mobile app marketers. It provides you with the most accurate attribution data and outclass privacy and security. It always makes sure that your users’ data is protected, and the attribution data allows you to connect an ecosystem of technology partners. This platform can work best for multiple platforms like iOS, Android, Windows, Amazon, Unity, and more.

7. Kochava

Kochava is a mobile app analytics and mobile attribution platform that helps marketers and developers analyze their growth and app’s performance. The tool is packed with highly advanced features, including real-time app analytics, dynamic deep linking, and audience enrichment. Kochava is a measurement and attribution platform that can capture holistic measurement and omni-channel attribution.

The platform also offers identity solutions, cross-device identity resolution and consent management. Its dynamic deep linking solutions, universal links and app links, QR codes allows you to improve conversion rate. Koacha allows you to access real-time analytics and reports and syndicate data to your BI platforms and third-party tools. It also improves user engagement and retention with its audience activation, reengagement, push notifications and predictive churn modeling.