Yair Halevi (Spock), Chief Ar
chitect of SundaySky, wrote a nice piece in today’s iMEDIAconnection on the topic of attribution modeling. This is a subject that really appeals to the geek in me.
Amazingly (although totally believable): “A recent study by Econsultancy and Google Analytics indicates that a majority of marketers are still using last-click attribution to measure performance-oriented campaigns.” The promising news: “…marketers are realizing that it is ineffective at gauging the true influence campaigns have on the consumer’s path to conversion.”
His solution, which makes a lot of sense to me (at least the parts that I understand): “Use control-group analysis together with attribution modeling, not instead of it. Attribution models are still important for analyzing behavioral segments, optimizing the campaign via creative selection and smart targeting, and understanding cross-campaign interactions using control-group testing. However, using control-group testing can take much of the guesswork out of attribution modeling. If you employ both tools, you can use the results of control-group analysis to tune and validate your attribution models.”
BUT, like many articles that I’ve seen on the topic of attribution modeling, it completely ignores the impact of non-digital channels, whether that be traditional media channels like TV or print, the physical retail channel, real world word-of-mouth, etc. I fully realize that this is the Holy Grail of attribution but it needs to be acknowledged at some point inthe conversation. I am not in any way saying we shouldn’t pursue excellence in digital attribution modeling – we absolutely should – but it’s not the best answer to the question most marketers are asking.
Photo: courtesy of http://www.optimine.com. Please contact me before you have me arrested for using this image illegally…many thanks in advance.
I firmly believe that consumers benefit when the ads they are exposed to as they surf the information superhighway are (highly) relevant. And relevance increases in direct proportion to the amount of data we (the industry) are able to collect.


