Getting Started with Flurry Analytics电子书

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