One hundred twenty one of you attempted The MineThatData E-Mail Analytics And Data Mining Challenge. Kudos to all who investigated a potential solution! If you want to try a solution, download the dataset here.
No solutions were submitted from the e-mail blogging community, or the e-mail vendor community. Considering that a quarter of our audience represents the e-mail marketing community (including readers from all major US-based e-mail marketing vendors), I was disappointed that thought leadership failed to emerge from this audience.
The winning solution from the academic and data mining community was submitted by Nicolas Radcliffe of Stochastic Solutions. Mr. Radcliffe also hosts a blog, discussing the advantages of his methodology, called Uplift Modeling.
His paper is titled, "Hillstrom's MineThatData Email Analytics Challenge: An Approach Using Uplift Modeling".
A copy of "Hillstrom's Multichannel Forensics" will be sent to Mr. Radcliffe. Congrats to Mr. Radcliffe on his winning entry!
Subscribe to:
Post Comments (Atom)
-
It is time to find a few smart individuals in the world of e-mail analytics and data mining! And honestly, what follows is a dataset that y...
-
Sometimes you think "people already know this stuff". Sometimes you realize that Google Analytics give smart analysts almost no op...
-
If you want to understand why clients don't trust vendors and trade journalists, read this little peach from a week ago: Direct Mail is ...
Nick Radcliffe has a brain the size of a planet!
ReplyDelete