If it is a bit quiet around here then it is because the wife has been in the hospital the last three months and is likely to stay there for several months more, so I am quite busy with personal stuff.
I did however take the time to visit Measurecamp London which gave me ideas for a lot of stuff to write about, so let’s see if this is going somewhere.
» Read Busy
Somewhat belated here is the last part of the presentation from the Measurecamp Berlin (I managed to grab one of the coveted tickets for the next Measurecamp in London, which is a good incentive to finally finish this series). This last bit turned to be out somewhat expensive – as it turned out “Big Data” was on the “forbidden word list” that required a donation per uttered instance. So that was an extra 20 for a refugee initiative, for some closing words on big data. So what does the term mean (if anything) ?
» Read In Others Words - Part 4
Cross domain tracking in Google Analytics is a way to track a visit on multiple domains within a single session.
GA uses a client id to assemble sessions from individual pageviews; all pageviews and other interactions within a certain timeframe that share a clientid are part of one session. HTTP is a stateless protocol, meaning that individuals hits are not connected to each other. So GA persists an id within the “_ga” cookie on the client and sends it to the Analytics server with every tracking call. Cookies are domain specific, to if a single web property uses multiple domains the client id is lost as the cookie itself cannot be transferred between domains. So GA uses a workaround to overcome that particular problem.
» Read Cross Domain Tracking with Clean Urls
When the whole Web Analytics thing started there was not much experience to draw from on how to model behavior of online audiences. It was assumed that they behaved somewhat similar to real world customers, and that we had a good idea how we could analyse them.
» Read In Others Words - Part 3
Despite all the things we do not know we usually maintain that there is a standard of quality to which we can hold our data, and that by this standard we can judge the results we arrive at based on this data. This idea is known as validity.
» Read In Others Words - Part 2