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Measuring Success - the blog

If you have an interest in measuring the success of your website and you have heard of Google Analytics, then this blog, the Google Analytics book and the supporting services are aimed at you. Measuring Success - also the title of the first chapter in the book - is about using Google Analytics and other complementary tools, to measure the success (or not) of your website and how to optimise it.

12 Useful Tools for Google Analytics Administration

Categories: Google Analytics specific, Implementation ABCs Comments (14) »

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Tools and helper applications I have come across as a practitioner come in two flavours: those that help you with your administration of Google Analytics – install, setup and configuration, and those that help you use or interpret reports – visualisation aides, third-party integration, segmentation help, and so forth. Often these two scenarios overlap, and marketers frequently find themselves using the same toolset as webmasters and web developers. This post is a compendium of useful tools I have used for GA administration. Regardless of your job role, all the tools listed here are straightforward to use. [ This page is an edited version of Appendix B, taken from the second edition of Advanced Web Metrics with Google Analytics. The new book is due March 2010 ] Tools to Audit Your GATC Deployment The key to being able to improve your website is having good, solid, accurate data that you can rely [...]

Accuracy Whitepaper for web analytics

Categories: Metrics understanding, Privacy and Accuracy Comments (10) »

1 Star2 Stars3 Stars4 Stars5 Stars (17 votes, average: 4.65 out of 5)
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This accuracy post is an extrapolation of a section in Chapter 2 of the book which has led to a separate PDF accuracy whitepaper available to download for free. [updated April 2010 - see new post] Why is this necessary? Well, the question of accuracy crops up all the time on numerous forums and at conferences. Essentially many practitioners of web analytics worry about accuracy. Some vendors even claim greater accuracy than others (though as I explain in the whitepaper this cannot be true), and there is the inter-industry debate about whether off-site analytics (for example, Hitwise, comScore, Neilsen//Netratings etc.), are better at predicting traffic levels than on-site analytics tools (such as Webtrends, Omniture, IndexTools, Google Analytics etc.). I won’t go into that debate here, except to schematically illustrate the two different web analytics approaches in Figure 1. Figure 1 : On-site v off-site web analytics The truth is, for [...]

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