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