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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.

Understanding Web Analytics Accuracy – Whitepaper

Categories: Metrics understanding, Privacy and Accuracy Comments (6) »

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I first wrote about web analytics accuracy in 2007 while working at Google. At that time numerous clients (big spending Google advertisers my team helped) were contacting their Adwords account managers asking why Google Analytics numbers did not match their AdWords click-through reports, or for that matter, match the other web measurement tools they were using. These of course are legitimate questions. However there are a multitude of possible answers – not what you want to hear if you are the end-user trying to interpret your visitor reports! The original accuracy whitepaper (published in Feb 2008) explained all of the possible accuracy considerations I could think of at the time. It was a vendor agnostic accuracy check-list to help the end-user, and those that you report to, get comfortable with the data, its limitations and how to mitigate these. Two years later and things have moved on. Accordingly I have [...]

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 [...]

Benchmarking site performance can be misleading

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As you may know, I occasionally write articles elsewhere (journalism.co.uk, eConsultancy, DaveChaffey.com). In case you miss these, and because I like to keep my thoughts in one place I also reproduce here a little later. The following is from my September post at eConsultancy. Key Performance Indicators (KPIs) are important to drive improvement for your website. Although it is obviously interesting and insightful to compare how your website is performing against your peers and competitors, it can be a mistake to place too much emphasis on external industry benchmarks. These external benchmarks can be misleading and often end up with you finding the benchmark that fits your story, giving a false impression of success. KPIs vary greatly by business sector, and even within subsectors there is wide variance: think “flights” versus “holidays” or “food retail” versus “clothing retail”. Even comparing against your competitors with identically defined goals is fraught with [...]

Should you focus on website visitors as individuals?

Categories: Metrics understanding, Privacy and Accuracy Comments (20) »

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Leaving aside the issue of privacy, is it valid to track visitors as individuals? From a marketer’s perspective, tracking individuals sounds great in theory – you understand your customers better right? But if you receive 10,000 visitors per day and have weekly marketing performance meetings, that equals 70,000 data points to discuss? Best practice is to consider longer time frames in order to mitigate against calendar anomalies i.e. weekends v weekdays, holidays, the weather, force majeure etc… So for one month that could be 280,000 data points.

Improving the web with web analytics

Categories: Metrics understanding, Privacy and Accuracy Comments (2) »

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This post comes in four parts:
1. Summary – there is no accuracy debate!
2. Introduction – why most of the web is junk and what role web analytics plays
3. On-site versus Off-site web analytics tools and how they work
4. Discrepancies – what’s accurate and how can accuracy be improved

This is a multi-page post
Page: 1 2 3

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