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Getting Started with Flurry Analytics.

An easy-to-follow, step-by-step tutorial full of examples and code to help you quickly get started with Flurry analytics. This book is great for developers who want to track their applications instantly using Flurry analytics and who are looking to get a good grounding in how to use Flurry for analy...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Birani, Bhanu
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Packt Publishing, 2013.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a An easy-to-follow, step-by-step tutorial full of examples and code to help you quickly get started with Flurry analytics. This book is great for developers who want to track their applications instantly using Flurry analytics and who are looking to get a good grounding in how to use Flurry for analytics in their application. It's assumed that you will have some experience with Objective-C and a basic understanding of object-oriented programming and programming in general. You must be enrolled as an iPhone developer in order to test the example projects on your device. 
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505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 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 
505 8 |a New UsersSession 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; Chapter 2: Tracking Applications; Settings goals; Tracking time spent; Tracking errors; Tracking versions; User details; Location tracking; Controlling data; Summary; Chapter 3: Data Analysis; Funnel analysis; Segments; Portfolio Analytics; User Acquisition analysis 
505 8 |a Customizing your dashboardCrash Analytics; Big Data benefits; Summary; Chapter 4: Technical Analytics; Tracking your crashes; Stack traces; Uploading dSYM; Response format; Error codes; Tracking errors; Summary; Chapter 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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