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Advanced Web Metrics With Google Analytics

Author: Brian Clifton
Publisher: John Wiley & Sons
ISBN: 111823958X
Size: 46.98 MB
Format: PDF, ePub, Docs
View: 6612
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This book is intended for use by customers using Google Classic Analytics and does not cover the newer Google Universal Analytics or related Google Tag Manager. Google Analytics is the free tool used by millions of web site owners to assess the effectiveness of their efforts. Its revised interface and new features will offer even more ways to increase the value of your web site, and this book will teach you how to use each one to best advantage. Featuring new content based on reader and client requests, the book helps you implement new methods and concepts, track social and mobile visitors, use the new multichannel funnel reporting features, understand which filters to use, and much more. Gets you up and running with all the new tools in the revamped Google Analytics, and includes content requested by readers and users especially for new GA users Covers social media analytics features, advanced segmentation displays, multi-dashboard configurations, and using Top 20 reports Provides a detailed best-practices implementation guide covering advanced topics, such as how to set up GA to track dynamic web pages, banners, outgoing links, and contact forms Includes case studies and demonstrates how to optimize pay-per-click accounts, integrate AdSense, work with new reports and reporting tools, use ad version testing, and more Make your web site a more effective business tool with the detailed information and advice about Google Analytics in Advanced Web Metrics with Google Analytics, 3nd Edition.

Advanced Web Metrics Mit Google Analytics

Author: Brian Clifton
Publisher: MITP-Verlags GmbH & Co. KG
ISBN: 3826655664
Size: 53.86 MB
Format: PDF
View: 4310
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Mit dem kostenlosen Google Analytics können Sie herausfinden, wie Sie das Optimum aus Ihrer Website herausholen. Der Google-Insider und Web-Analytics-Experte Brian Clifton zeigt ausführlich, wie Sie Google Analytics gezielt und effektiv einsetzen. Durch die richtige Interpretation und Analyse Ihrer Daten erhalten Sie ein unverzichtbares Werkzeug, um Ihrer Website den letzten Schliff geben zu können und den Erfolg zu steigern.

Successful Analytics Ebook 2

Author: Brian Clifton
Publisher: BookBaby
ISBN: 1910591025
Size: 71.54 MB
Format: PDF, Docs
View: 1717
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This new book from the acclaimed author of Advanced Web Metrics puts you in control of your data showing you how to be successful in your organization. This book is for you if you are: - a digital analyst working with Google Analytics and wishing to go to the next level of your career. - a manager of data who needs a solid understanding of best practice website measurement, the capabilities of Google Analytics, and how to guide your organisation’s digital strategy. - a student of quantitative marketing (or economics and management) looking to gain a detailed knowledge of what it takes to be successful with Google Analytics. For all of the above, your ultimate interest is in insights and knowledge, not more data! Top Three Take Aways 1. This book is about using Google Analytics in an enterprise environment - to embolden your organisation to actually use its data for important decisions – that is, not just be a hit counter. 2. This book is about team work – providing the methods and processes to bridge the often daunting gap between practitioners and senior management. 3. This book is about data trust – helping you ensure you have the best data quality so the rest of the organisation can trust and rely on it. Specific recommendations on: - How to audit your data (without looking at code) to ensure good data quality and trust - How to assess the investment in tools and team - How to ensure your team focuses on insights, not data - Understanding KPI selection and the dashboards required to convey them - Telling stories with data - Real world insights from major brands showing the difference knowledge makes eBook1 contains chapters 6-10 (out of 10)

Using Web Analytics In The Library

Author: Kate Marek
Publisher: American Library Association
ISBN: 0838958338
Size: 40.22 MB
Format: PDF, Mobi
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Libraries are delivering an ever-increasing proportion of their services through the web, a trend that seems certain to continue. In order to guide purchases and appropriately distribute services and staff time, it's essential that libraries and librarians accurately track the usage of their websites and online resources.

Google Analytics

Author: Justin Cutroni
Publisher: "O'Reilly Media, Inc."
ISBN: 1449399592
Size: 37.66 MB
Format: PDF, Kindle
View: 1136
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Do you know what people do when they visit your website or web app? Or how much the site contributes to your bottom line? Google Analytics keeps track and makes it easy for you to learn precisely what's happening. This hands-on guide shows you how to get the most out of this free and powerful tool -- whether you're new to Google Analytics or have been using it for years. Google Analytics shows you how to track different market segments and analyze conversion rates, and reveals advanced techniques such as marketing-campaign tracking, a valuable feature that most people overlook. And this practical book not only provides complete code samples for web developers, it also explains the concepts behind the code to marketers, managers, and others on your team. Discover exactly how the Google Analytics system works Learn how to configure the system to measure data most relevant to your business goals Track online marketing activities, including cost-per-click ads, email, and internal campaigns Track events -- rather than page views -- on sites with features such as maps, embedded video, and widgets Configure Google Analytics to track enterprise data, including multiple domains Use advanced techniques such as custom variables and CRM integration

Actionable Web Analytics

Author: Jason Burby
Publisher: John Wiley & Sons
ISBN: 9780470181133
Size: 33.27 MB
Format: PDF, Docs
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Knowing everything you can about each click to your Web site can help you make strategic decisions regarding your business. This book is about the why, not just the how, of web analytics and the rules for developing a "culture of analysis" inside your organization. Why you should collect various types of data. Why you need a strategy. Why it must remain flexible. Why your data must generate meaningful action. The authors answer these critical questions—and many more—using their decade of experience in Web analytics.

Human Centered Design

Author: Masaaki Kurosu
Publisher: Springer Science & Business Media
ISBN: 3642028063
Size: 11.10 MB
Format: PDF, Mobi
View: 1860
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The 13th International Conference on Human–Computer Interaction, HCI Inter- tional 2009, was held in San Diego, California, USA, July 19–24, 2009, jointly with the Symposium on Human Interface (Japan) 2009, the 8th International Conference on Engineering Psychology and Cognitive Ergonomics, the 5th International Conference on Universal Access in Human–Computer Interaction, the Third International Conf- ence on Virtual and Mixed Reality, the Third International Conference on Internati- alization, Design and Global Development, the Third International Conference on Online Communities and Social Computing, the 5th International Conference on Augmented Cognition, the Second International Conference on Digital Human Mod- ing, and the First International Conference on Human Centered Design. A total of 4,348 individuals from academia, research institutes, industry and gove- mental agencies from 73 countries submitted contributions, and 1,397 papers that were judged to be of high scientific quality were included in the program. These papers - dress the latest research and development efforts and highlight the human aspects of the design and use of computing systems. The papers accepted for presentation thoroughly cover the entire field of human–computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.

Modeling Techniques In Predictive Analytics With Python And R

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Size: 73.98 MB
Format: PDF
View: 7478
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more