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Web Analytics 2.0 9780470529393 Avinash Kaushik
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20sinds 19 jan. '25, 09:33
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AuteurAvinash Kaushik
ConditieZo goed als nieuw
Productnummer (ISBN)9780470529393
Jaar (oorspr.)2009
Beschrijving
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Titel: Web Analytics 2.0
Auteur: Avinash Kaushik
ISBN: 9780470529393
Conditie: Als nieuw
Adeptly address today's business challenges with this powerful new book from web analytics thought leader Avinash Kaushik. Web Analytics 2. 0 presents a new framework that will permanently change how you think about analytics.
Shift to Data-Driven Decision Making and Leverage the Complete Power of All Web Data 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.
Titel: Web Analytics 2.0
Auteur: Avinash Kaushik
ISBN: 9780470529393
Conditie: Als nieuw
Adeptly address today's business challenges with this powerful new book from web analytics thought leader Avinash Kaushik. Web Analytics 2. 0 presents a new framework that will permanently change how you think about analytics.
Shift to Data-Driven Decision Making and Leverage the Complete Power of All Web Data 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
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