One of the most popular stories in last
week’s New York Times was provocatively
entitled – how
companies learn your secrets. Drawing on material for a new book by author
and journalist, Charles Duhigg, the
article explores behavioural science and analytics in retailing. The highlight
of the article is the story of a father who comes to a Target store complaining that Target is
sending his high-school daughter vouchers for discounts on baby products. “Why
are you sending my daughter these vouchers”, he screams. “Are you trying to
encourage her to get pregnant”? A few days later the father calls the store
manager to apologise – it turns out his teenage daughter is pregnant after all,
she just hadn’t got round to telling her father yet!
How did Target get to know that the girl
was pregnant before she’d even told her dad? Simple, through customer analytics
– by looking at people’s shopping habits Target and many other retailers can
make intimate predictions about people’s lives. Start buying lots of meals for
one and the retailers will assume a relationship breakup. Stop buying eggs and
the store might assume you’ve got your own chickens! Pregnancy is particularly
important because it is such a major life change that it brings many other
opportunities for the store. Most of us are creatures of habit. We buy the same
toothpaste, soap and deodorant year after year – simply through habit. Research
suggests that pregnancy is one of the best times to break old habits and form
new ones. Target’s research suggests that an increase in sales of unscented
lotions and vitamins is linked to pregnancy. Couple these two facts and the
implications are profound. Target can predict who is and who is not pregnant,
send those who are likely to be pregnant coupons and vouchers to use and try -
in the process - to create new shopping habits for individual customers.
This brave new world, where big brother is
watching, offers opportunities, but there are also significant risks for the
organisations involved. Privacy concerns and reputational damage can be
significant. Just look at the comments on the New York Times article – there
are a lot people who are worried about the power of analytics and the potential
for abuse of the data. Clearly organisations can see the benefits of analytics,
but they also have to weight up the risks and put in place some very carefully
considered governance mechanisms to avoid headlines like “how companies learn
your secrets”.
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