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App analytics

App analytics, also called mobile app analytics, is a specialized field of mobile analytics. It helps to measure how apps work, identify unique users, map customer journeys and understand user behavior. With the gathered data, marketers and product teams can personalize content, optimize the user experience and review the app’s performance.

The key metrics you can track with mobile app analytics include:

  • Downloads
  • Installations
  • Registrations
  • Active users
  • Retention rate
  • Churn rate
  • Sessions and session length
  • Content impressions and interactions
  • Load time
  • Crashes/exceptions
  • Custom events

Main benefits of mobile app analytics:

  • Improving user acquisition – analyze how your marketing campaigns influence the number of new app users, evaluate your results on different marketing channels and identify the sources of the most valuable users.
  • Increasing user engagement and retention – analyze the full user journey inside the app, see what users interact with, how long it takes them to fulfill a certain task and when they decide to leave.
  • Optimizing user experience and app performance – resolve user experience issues by analyzing user engagement and retention to ensure your app is easy to navigate.
  • Increasing the number of in-app purchases in ecommerce apps and, as a result, increasing your revenue.

Find more about app analytics on the Piwik PRO blog:

  • Privacy by design in practice: How “just enough” data beats “just in case” collection

    While collecting more data “just in case” feels safer, according to Matt Gershoff, it’s also one of the biggest sources of unnecessary compliance risk, analytical noise, and wasted organizational resources in the analytics industry today. His approach of “just enough” data collection is more intentional, more aligned with privacy regulation, and often more analytically effective.

  • 4 ways to make your analytics HIPAA-compliant: Implementation guide

    Healthcare organizations have four main approaches to achieving HIPAA-compliant analytics. Each has different trade-offs in cost, technical complexity, and analytics capabilities. This guide compares all four implementation methods – from using Google Analytics with workarounds to deploying fully HIPAA-compliant analytics platforms – so you can choose the right approach for your organization’s needs and resources.

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