Why Charles Duhigg Tries To Entice Consumers Instead Of Alienating Consumers?

Customer analytics is becoming extremely important. Customers are more engaged and connected than any other time in recent memory and are turning out to be all the more so. They have admittance to data anyplace, at whatever time – where to shop, what to purchase, the amount to pay, and so forth. That makes it progressively critical to anticipate how customers will carry on when collaborating with an association, so it can react as needs be. The more profound an organization's comprehension of clients' purchasing habits and lifestyle inclinations, the more exact their forecasts of future purchasing practices will be – and the more effective they will be at offering appealing offers that draw in instead of alienating customers.
Using customer
He talked to Target statistician Andrew Pole regarding the clues to a customer's impending baby. Target assigns every customer a Guest ID number, tied to their credit card, name, or email address that acts as a folder that stores a history of everything they've bought and any demographic details Target has collected from them or bought from external sources. Using that, Pole looked at historical buying data for all the ladies who had signed up for Target baby registries in the
“My daughter got this in the mail!” he said. “She’s still in high school, and you’re sending her coupons for baby clothes and cribs? Are you trying to encourage her to get pregnant?”
The manager didn’t have any idea what the man was talking about. He looked at the mailer. Sure enough, it was addressed to the man’s daughter and contained advertisements for maternity clothing, nursery furniture and pictures of smiling infants. The manager apologized and then called a few days later to apologize again.
On the phone, though, the father was somewhat abashed. “I had a talk with my daughter,” he said. “It turns out there’s been some activities in my house I haven’t been completely aware of. She’s due in August. I owe you an apology.”
In this case, Target using big data were accurately able to predict that the teenage girl was pregnant and sent discount coupons and ad brochures based on the data mined. This case clearly highlights how big data can be used to retain customers simply by making correct analysis of their past