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Advanced Web Metrics with Google Analytics

Advanced Web Metrics with Google Analytics

Author: Brian Clifton
Publisher: John Wiley & Sons
ISBN: 111823958X
Pages: 600
Year: 2012-03-30
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 with Google Analytics, Second Edition

Advanced Web Metrics with Google Analytics, Second Edition

Author: Brian Clifton
Publisher:
ISBN:
Pages:
Year: 2010

Advanced Web Metrics mit Google Analytics

Advanced Web Metrics mit Google Analytics

Author: Brian Clifton
Publisher: MITP-Verlags GmbH & Co. KG
ISBN: 3826655664
Pages: 503
Year: 2010
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.
Advanced Web Metrics with Google Analytics 3E with XML Problem Design Solution 1E Set

Advanced Web Metrics with Google Analytics 3E with XML Problem Design Solution 1E Set

Author: Clifton
Publisher:
ISBN: 111857768X
Pages:
Year: 2012-10-12

Successful Analytics ebook 2

Successful Analytics ebook 2

Author: Brian Clifton
Publisher: BookBaby
ISBN: 1910591025
Pages: 316
Year: 2015-01-12
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

Using Web Analytics in the Library

Author: Kate Marek
Publisher: American Library Association
ISBN: 0838958338
Pages: 54
Year: 2011
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

Google Analytics

Author: Justin Cutroni
Publisher: "O'Reilly Media, Inc."
ISBN: 1449399592
Pages: 218
Year: 2010-08-13
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

Actionable Web Analytics

Author: Jason Burby, Shane Atchison
Publisher: John Wiley & Sons
ISBN: 0470181133
Pages: 256
Year: 2007-08-27
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

Human Centered Design

Author: Masaaki Kurosu
Publisher: Springer Science & Business Media
ISBN: 3642028063
Pages: 1112
Year: 2009-07-14
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

Modeling Techniques in Predictive Analytics with Python and R

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Pages: 448
Year: 2014-09-29
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
Web and Network Data Science

Web and Network Data Science

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133887642
Pages: 384
Year: 2014-12-19
Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern University’s prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO); others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives today's managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications. Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.
Modeling Techniques in Predictive Analytics

Modeling Techniques in Predictive Analytics

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133886190
Pages: 384
Year: 2014-09-29
To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every 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. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and 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 R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. 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
ROI & Social Media Marketing

ROI & Social Media Marketing

Author: Maisha Smart
Publisher: Finance & Marketing
ISBN:
Pages: 6
Year: 2012-10-10
Does Social Media really add to the corporate bottom line? The short answer is, yes, engagement on social media can positively impact the bottom line if the strategy is well conceived, the plan is properly executed, and the metrics are meaningful. CMOs that include social media as an integral part of their strategy know that ROI, not the sheer volume of facebook “likes”, must be the driver for engaging. This guide addresses this and several other industry concerns related to social media marketing, strategic planning, and metric development.
Search Analytics

Search Analytics

Author: Hurol Inan
Publisher: Hurol Inan
ISBN: 1419626094
Pages: 56
Year: 2006-03-22
Waypoint 90 offers an in-depth look at the power of redemption through love; a story of passion & romance, of political intrigue & suspense, of friendship & loyalty where the sea draws the characters,
Performance Marketing with Google Analytics

Performance Marketing with Google Analytics

Author: Sebastian Tonkin, Caleb Whitmore, Justin Cutroni
Publisher: John Wiley and Sons
ISBN: 1118076702
Pages: 456
Year: 2011-01-21
An unparalleled author trio shares valuable advice for using Google Analytics to achieve your business goals Google Analytics is a free tool used by millions of Web site owners across the globe to track how visitors interact with their Web sites, where they arrive from, and which visitors drive the most revenue and sales leads. This book offers clear explanations of practical applications drawn from the real world. The author trio of Google Analytics veterans starts with a broad explanation of performance marketing and gets progressively more specific, closing with step-by-step analysis and applications. Features in-depth examples and case studies on how to increase revenue from search advertising, optimize an existing website, prioritize channels and campaigns, access brand health and more Discusses how to communicate with a webmaster or developer to assist with installation Addresses Google's conversion-oriented tools, including AdWords and AdSense, Google trends, Webmaster tools, search-based keyword tools, and more Touches on brand tracking studies, usability research, competitive analysis, and statistical tools Throughout the book, the main emphasis is demonstrating how you can best use Google Analytics to achieve your business objectives. Foreword by Avinash Kaushik Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.