Congratulations on the incredible job of building an App and marketing it. Making an App is the first step, but it is a long journey ahead to make it successful. Optimization of the App is the next step.

Analytics plays an important role in the success of a mobile App. Mobile App analytics refers to the data collected when the App is being used. Through analysis, data points towards insights into user behavior. Therefore, mobile App analytics tools are important to optimize functions. 

Check your App users, traffic, and metrics on mobile App analytics tools. Mobile App analytics is different from its web counterpart as they track and analyze App’s user activities and events. It will give you valuable insights and how your App works and provide your framework by highlighting improvement opportunities for the App.

When you understand how your users interact with App, you can optimize it to be as user-focused and user-friendly as possible.

Mobile Apps analytics includes data from the user-facing side, front end, back end, and overall App function. It is accessible to developers and administrators.

Mobile App Data includes:

  • User: first time or returning user
  • The frequency with the user is launching App on mobile
  • Duration of the user is using the App per session
  • What areas of Apps are being utilized in a particular session
  • Time spent in the area of App
  • Errors that occur while App is in use
  • What pages did the user visit before uninstalling the App
  • The loading time of the App
  • Specific pages of App loading time
  • The server takes time to respond to App’s data request
  • Time is taken for data to travel between server and App

Depending on the app-specific data, analytics will change. For example, if it is an Ecommerce App for shopping, analytics will also be about sale figures, abandoned carts, product views, etc. 

Crucial Analytics for Mobile App

Without visibility, an App can fail to satisfy the user’s needs regardless of how effective and useful your App is. It leads to users looking somewhere else to have their needs met.

Mobile App Analytics will equip you with tools that are necessary for a better understanding of the App and its performance and benefit in key areas such as:

Real-Time ROI and Assessment:

To improve app value and increase your returns on investment, you first need to have a better understanding of your customers and their needs through related data,

Data-Driven Decisions and Strategies: 

To make your App successful, you can build future campaigns based on data, insights, and specifications to re-calibrate the approach with data-driven decisions. The mobile app analytics tool helps to visualize past failures and successes clearly, and this data can help you change your approach and strategies accordingly. 


With segmentation and targeting the audience, you will likely provide a better user experience per their personalized needs. You will be able to provide what is needed and able to customize accordingly. Personalization shows you care about user experience.

Goal Tracking: 

Analytics of App allows determining which acquisition channels are working for the success of the App. When you identify the channels, you can be more dedicated and focused here and replicate the approach. 

Key Performance Indicators to Track for Mobile App Analytics

Metrics, Reports, and Insights, you might get all confused and lost with so much analytical data. Here are Key Performance Indicators to increase user engagement and mobile app success.

Retention Rate: It is a metric that identifies the percentage of users that continue to use the App and alerts against a figure that shows the number of customers you are losing.

Lifetime Value: it is a formula to calculate customers worth over their lifetime and their relationship with the business.

Uninstalls: Tracking the number of users that uninstalled the App is critical to understanding its reason. 

Cohort Analysis: It focuses on the segmentation of users by demographics, source, and device to analyze and associate metrics

ROI: ROI data is what you have spent and earned in a particular effort

Cost per Acquisition: it tells you exactly how you are spending per Acquisition

User Growth Rate: It represents the total number of new users within a particular time.These KPIs will provide helpful App analytics to track and provide a comprehensive view of the app and highlight innovation and improvement needed to make the App successful.

By Manali

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