Measuring Success

I have been following some interesting posts on the recent IBM acquisition of Coremetrics. The following three are from respected sources that all glow positively about the potential upside of the deal - Econsultancy, Eric Peterson, Stephane Hamel. However, I am not so convinced that the deal will lead to great success for IBM, or is the start of a coming “revolution” for the web analytics industry… and here’s why. Whilst the deal makes perfect sense – its a logical and smart with obvious synergies, remember that in 2006 IBM *sold* their commercial web analytics tool, Surfaid, to Coremetrics in the first place (though Coremetrics only used the WebSphere client base and not the technology). Clearly IBM did not understand the significance of web metrics in 2006 and nothing makes me feel that they do now… For me, the success of the web metrics industry today is due to the “simplification” that Google [...]

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.

          Last year I wrote an whitepaper on web analytics accuracy. The intention of this was to be a reference guide to all the accuracy issues that on-site web measurement tools face, and how you can mitigate the error bars. Apart from updating the article recently, I wanted to illustrate how close (or not) different vendor tools on the same website can be when it comes to counting the basics – visits, pageviews, time on site and visitors. To do this, I have looked at two very different web sites with two tools collecting web visitor data side by side: Site A – This blog, running Google Analytics and Yahoo Web Analytics. According to Google, there are 188 pages in the Google Index and traffic is approximately 10,000 visits/month Site B – A retail site that runs Nielsen SiteCensus and Google Analytics (site to remain anonymous). According to Google, [...]