Paperback: 528 pages
Publisher: Sybex; 2 edition (March 15, 2010)
Product Dimensions: 7.4 x 1.1 x 9.2 inches
Shipping Weight: 1.7 pounds
Average Customer Review: 4.6 out of 5 stars See all reviews (49 customer reviews)
Best Sellers Rank: #1,060,422 in Books (See Top 100 in Books) #52 in Books > Computers & Technology > Web Development & Design > Website Analytics #710 in Books > Computers & Technology > Computer Science > AI & Machine Learning > Intelligence & Semantics #3193 in Books > Computers & Technology > Networking & Cloud Computing > Internet, Groupware, & Telecommunications
Brian Clifton's Advanced Web Metrics with Google Analytics should, for all intents and purposes, have the term "Advanced" in bold, possibly in a gigantic type font with fun colours and exclamation marks.The first 3-5 chapters start innocently enough, and if you have been involved in web analytics or read any other material on the topic you will find it largely rehashes what you already know with a few nuggets of gold throughout. For instance, Brian's discussion as it pertains to Google's tracking of data and its privacy implications offers a wonderful metaphor relating to personal identifiable information, though his emphasis curiously seems to be trying to convince the reader, rather than positioning it as a tool that one can use to assuage stakeholders or individuals who are not sold on analytics.Chapter 4, which aforementioned is innocent enough, gives one a glimpse of what is to come when Brian delves into a discussion on regular expressions (in order to filter data via GA's inline filter). If you are unfamiliar with a command line interface, advanced search expressions or anything of the sort, good luck. Even if you are, this section comes WAY out of left field and perhaps could have been saved for later, but the information itself is useful and I've been utilizing a number of the expressions ever since.Chapter 7 is where this book really begins, and Brian starts it off by giving an in depth explanation of how Google tracks pages and summarily applies that logic to show how one can track things like dynamic URL's (rewriting them along the way), tracking file downloads, partially completed forms (cool stuff), and E-Commerce settings (with some neat tricks and workarounds for frequent issues and problems), Flash, and a whole host of things.
Google Classroom: The 2016 Google Classroom Guide (Google Classroom, Google Guide, Google Classrooms, Google Drive) Advanced Web Metrics with Google Analytics, 2nd Edition Google Analytics in Pictures: A quick insight into Google Analytics: ideal for service based business owners and marketing professionals Getting Started with Google Analytics: How to Set Up Google Analytics Correctly from the Beginning 42 Rules for Applying Google Analytics: 42 Rules for Applying Google Analytics Your Google Game Plan for Success: Increasing Your Web Presence with Google AdWords, Analytics and Website Optimizer 42 Rules for Applying Google Analytics: A practical guide for understanding web traffic, visitors and analytics so you can improve the performance of your website SEO: How to Get On the First Page of Google (Google Analytics, Website Traffic, Adwords, Pay per Click, Website Promotion, Search Engine Optimization) (Seo Bible Book 1) Learning Google AdWords and Google Analytics Practical Google Analytics and Google Tag Manager for Developers SEO: SEO Marketing - Learn 14 Amazing Steps To Search Engine Optimization Success On Google! (Google analytics, Webmaster, Website traffic) Analítica web con Google Analytics 2.0 (Spanish Edition) Social Media Analytics: Effective Tools for Building, Interpreting, and Using Metrics Library Analytics and Metrics: Using Data to Drive Decisions and Services Web and Network Data Science: Modeling Techniques in Predictive Analytics (FT Press Analytics) Practical Web Analytics for User Experience: How Analytics Can Help You Understand Your Users R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data & Analytics Series) R for Everyone: Advanced Analytics and Graphics (Addison-Wesley Data and Analytics) Capacity Planning for Web Performance: Metrics, Models, and Methods Programming Google App Engine with Python: Build and Run Scalable Python Apps on Google's Infrastructure