Measuring Success

I rarely comment on news, preferring instead to trial, demonstrate and collect my thoughts before writing a blog article. However this piece of news from the official Google blog is potentially so big, I wanted to add my comments straight away (and I was a web developer in a previous life)…. Yesterday, Google announced it is developing a new computer operating system and I am sure that created quite a shockwave at Microsoft’s HQ in Seattle: http://googleblog.blogspot.com/2009/07/introducing-google-chrome-os.html Building a new operating system for the desk top market is a huge task – not so much from a technical point of view for a company such as Google (the company built its own operating system to run the Google infrastructure from day one – based on unix), rather the driving of user adoption where others have struggled for the past 20 years. Anyone remember OS/2…? The history of the Mac is [...]

Google Analytics has come along way since the acquisition of Urchin was announced in April 2005. In this article I wanted to summarise the achievements made to date and discuss my view as the future for the product. A brief history of Urchin Urchin analytics has been around for some time. In fact since 1997, Urchin software has been slowly and quietly building a strong reputation for its server-side web analytics software. I first came across it in 2003, where its lightening fast processing power, small resource footprint and good value for money caught my attention. Even on a moderately specified Linux box, Urchin’s number crunching performance far exceeded anything else on the market – and still does today. This has made it particularly attractive to ISPs and web hosting companies that remain its largest customer base. A differentiator for the Urchin product is its hybrid approach – combining data [...]

This is part II (from a two part series) of articles providing a How-to guide for integrating your voice of customer data with Google Analytics. In Part I, I discussed the approach to take when integrating with Clicktools – a popular visitor survey tool. In Part II, I discuss integrating with a very different type of voice of customer tool – Kampyle. As you have hopefully read in Part I of this series, the general rule of thumb when integrating with Google Analytics, is to export your data from into your second tool. Essentially Google just makes exporting easy for you (though potentially the new GA API may one day also facilitate importing data into Google Analytics). However, exporting data from Google Analytics and into Kampyle is not possible, so a different approach is required. Kampyle background information Kampyle is a feedback survey tool – with the emphasis on feedback. [...]

As I have written before, Voice of Customer techniques are your direct feedback mechanism from visitors to your web site. It provides invaluable qualitative data to your web design, development, marketing, PR and content creator teams. It compliments the quantitative data of web analytics by providing the “why” to the “what” and “when”. However it is often the case that this data remains in a separate silo within the organisation, never to be compared with the quantitative data of your web analytics platform. This post, the first part of two, is a How-to guide for integrating your voice of customer data with Google Analytics. I have chosen two popular VoC tools: , Clicktools and Kampyle, though it is not my intention to review the merits of the respective tools themselves. However I do use them both, which makes me a fan of them both. This is Part I – Integrating [...]

This started off as a reply to a comment from Sara Andersson (of search-input.com) concerning my post about the accuracy limitations of web analytics and the difficulty of aligning data from disparate sources: 2008/02/16/accuracy-whitepaper/#comment-2153 However, the subject is broad enough to warrant a separate post, and probably subsequent ones too! To start off, I paraphrase Sara: “Most sites are not conducting e-commerce and we [marketers] need to spend our resources analysing the lead generations through a combination of the online traffic to the other trend tools available. In your opinion, how would you best go about to study a trend when you have to aggregate additional resources of information from various tools – all with their accuracy problems?“ As I said in my initial reply, this is a very good and difficult question and it got me thinking… Huge sums of money have been invested by many a corporation in [...]