Recently, I read a fascinating (at least, to me) article about how Target is using data analysis to, well, target their marketing efforts. I won’t recap the entire story, but the gist is that Target used sophisticated data mining techniques in order to predict which women were most likely to be pregnant—based on their purchasing history. Target then sent coupons for pregnancy-related products to these customers.
One father got upset when his teenaged daughter received these coupons in the mail. Turns out, she had yet to tell her parents the news. Enter current brouhaha.
I found out about this story via Twitter (nearly my only source for news these days), and the commentary that accompanied it used a variety of inflammatory words, including: “creepy marketing,” “gross,” or―my personal favorite—“creeptastic.” Meanwhile, I found myself feeling a bit awestruck by how ingenious Target’s approach was.
I understand that the pregnancy thing is what makes this example stand out and seem a bit “creepy” to some readers. But, it seems to me, the real story here is just how powerful data has become for marketers. This story highlights the fact that you can learn a lot about a customer with the large amounts of data at your disposal, and marketers are going to do everything they can with it. Do marketers have a responsibility to use the data appropriately?
