When I first played with the idea of publishing a newsletter, I immediately decided that it should not be like a blog, or extended posts on G+. I also knew I wanted to ask a wide variety of guests writers to contribute, thus making way more interesting content to the readers than just reading my own limited thoughts. As long as an article was about analytics, even loosely, I was happy. Gosh! I have been very lucky with amazing contributions so far, and still several fascinating ones to come!

This month I am very happy to welcome David McBride (bio here), whom I have known for a few years through the excellent X Change conference. A month ago, I took part in David’s huddle at the first European edition of X Change in Berlin. At the end of what turned out to be a really interesting discussion, I asked David why not write about career management in Digital Analytics. I was flabergasted by how original his piece was when I first read it; I am sure you will too…

As for me, I discuss the number context question, and how it is an essential aspect of not only their understanding, but of how we communicate them.

Happy to see you for the 9th time!

If there’s one thing I hope people will think of this newsletter, it’s that it is definitely where one can find original, provocative thinking in Marketing Analytics, Performance Measurement, and Analytics Strategy. To be honest, I am still trying to figure out what exactly the editorial line of the WAO/FACTOR should be, but I am … Continued

Can’t Buy Me Love – Happiness in Analytics

It is a good time to be in Analytics. Sure, we have our challenges – our work is not as frequently associated with revenue growth as it will someday be and there are too many different ways to measure Unique Visitors, but our services are relatively in demand. We are expanding further into the enterprise … Continued

The Fair Share of Ratios

As Gary Angel so rightly pointed out in his very popular piece here on the WAO/FACTOR, analysis context is a crucial part of communications. You see, numbers can be very, very tricky. First, because they are exactly that, numbers, and we tend to give a lot of credibility to anything that is quantified. Numbers speak, … Continued