[valeri[µ]]

Web Analytics 2.0


Год выпуска: 2009
Автор: Avinash Kaushik
Издательство: SYBEX
ISBN: 0470529393
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 504
Описание: The Web, online marketing, and advertising have been revolutionized in the last few years, yet the approach to using data has remained largely the same as a decade ago. Web analytics thought leader Avinash Kaushik presents the next-generation framework of web analytics in this exciting book that will dramatically enhance the ability of your organization to think smart and move fast.

In this book, Avinash lays out specific strategies and execution models to evolve from simply leveraging clickstream tools to incorporating the insightful elixir of qualitative data, experimentation and testing, and competitive intelligence tools.

While expanding upon the industry-shaping lessons from his bestselling book Web Analytics: An Hour a Day, Avinash explains how to measure, analyze, and act upon today's quickly evolving web technologies and trends—including social media, video, mobile, and online user-centric design options. As he updates traditional approaches, Avinash debunks myths, identifies traps, and reveals specific, simple and advanced methodologies to transform your thinking, making this book the ultimate guide for all web professionals.

Discover the solutions for the hardest challenges, including multichannel analytics and multitouch campaign attribution analysis
Quantify the holistic economic value of your website and measure macro and micro conversions for ecommerce, non-ecommerce, and B2B websites
Profit from analytical methodologies that attack the holy trinity of search: internal site search, pay-per-click marketing, and search engine optimization
Pinpoint the most relevant Key Performance Indicators for your organization and create actionable dashboards that drive change
Master crucial emerging analytics fields including Twitter, YouTube, blogs, mobile, and rich-media analytics
Leverage experimentation and testing to create truly customer-centric websites and innovate by failing faster
Create data-driven bosses and organizations, and cultivate the skills and background you need for a successful analytics career