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Getting Started with Flurry Analytics

Book Description

In today’s mobile app market you need to track your applications and analyze user data to give yourself the competitive edge. Flurry Analytics will do all that and more, and this book is the perfect developer’s guide.

  • Analyze collective data using Flurry analytics to improve monetization strategies

  • Make your application more stable in the market by reacting to the results of your data analysis

  • Use Flurry to measure the acquired users in order to improve user engagement and retention

  • In Detail

    Analytics help you to understand the way your users are interacting with your mobile application. Flurry provides you with a strong analytics tool to keep track of your application and to analyze your application data without much hassle. It provides an SDK for almost all platforms to gather data from all platforms of mobile and web applications. The enormous amount of data Flurry handles directly translates into unique, powerful insights into your applications.

    Getting Started with Flurry Analytics is a practical, hands-on guide to instantly getting started with Flurry analytics using step-by-step exercises. You will take advantage of the real power of Flurry analytics and provides you with an example-based learning approach to help you master it quickly and efficiently.

    This book starts by discussing how to set up and integrate Flurry analytics and ends by making you aware of how to track your application using Parse. You will also learn about tracking your application data using Flurry analytics to strengthen your strategies and to improve the application monetization process. You will also learn about configuration and implementation of Flurry analytics and how to make the application track all the necessary details to empower management decisions.

    Table of Contents

    1. Getting Started with Flurry Analytics
      1. Table of Contents
      2. Getting Started with Flurry Analytics
      3. Credits
      4. About the Author
      5. About the Reviewers
        1. Support files, eBooks, discount offers and more
          1. Why Subscribe?
          2. Free Access for Packt account holders
          3. Instant Updates on New Packt Books
      7. Preface
        1. What this book covers
        2. What you need for this book
        3. Who this book is for
        4. Conventions
        5. Reader feedback
        6. Customer support
          1. Downloading the example code
          2. Errata
          3. Piracy
          4. Questions
      8. 1. Getting Ready with Flurry
        1. About Analytics
        2. The importance of Analytics in the use of applications
        3. The advantages of using Analytics
          1. Tracking social productivity
          2. Determining unique visitors
          3. Determining user behavior
          4. Monitoring the performance of your ads
          5. Determining your content sources
          6. Evaluating traffic flow to your application
        4. Setting up an account on Flurry Analytics
        5. Integrating the library with your project
        6. Setting up basic code
          1. Sessions
          2. Active Users
          3. New Users
          4. Session Length
          5. Frequency of Use
          6. Benchmarks
          7. Page Views
          8. User Paths
          9. Lifecycle Metrics
          10. User Retention
          11. Version Adoption
          12. Demographic Estimates
          13. Time of Day Reporting
          14. Geographic Usage
          15. Language Metrics
          16. Devices
          17. Carriers
          18. Firmware Versions
          19. Logging Events
            1. Events
            2. Event Parameter
            3. Event Duration
          20. Segmentation
        7. Summary
      9. 2. Tracking Applications
        1. Settings goals
        2. Tracking time spent
        3. Tracking errors
        4. Tracking versions
        5. User details
        6. Location tracking
        7. Controlling data
        8. Summary
      10. 3. Data Analysis
        1. Funnel analysis
        2. Segments
        3. Portfolio Analytics
        4. User Acquisition analysis
        5. Customizing your dashboard
        6. Crash Analytics
        7. Big Data benefits
        8. Summary
      11. 4. Technical Analytics
        1. Tracking your crashes
        2. Stack traces
          1. Uploading dSYM
          2. Response format
          3. Error codes
        3. Tracking errors
        4. Summary
      12. 5. Using Your Data
        1. Measuring user quality
        2. User acquisition
        3. User retention
        4. User engagement
        5. User monetization
        6. Platforms and devices
        7. Investors and sponsors
        8. Crash detection
        9. Alerts
        10. Daily and hourly reporting
        11. User acceptance
        12. Summary
      13. Index