This has been in the news of late, with the buying season at hand ... The books/articles on classifying your customers via data mining make mention of the fact that you might want to 'fire' your lowest profit (or net loss generating) customers ... but this is the first case I have seen of a retail enterprise actually doing it. Almost all of the loyalty/club cards attempt to reward on the high end in some way, and just ignore the bottom third. I have to applaud Best Buy for trying this, they are the obvious ones to do it since there are certain consumer behaviors, especially with regard to returns, that are quite costly to them. Though you have to wonder a bit if on a purely psych basis, isnt rewarding good behavior still much better than punishing bad behavior? But maybe its not the same as training a puppy?
Previous Slashdot article brought to my attention (excerpt):
"Best Buy is one of the retailers that has now decided that the customer is not always right. Best Buy consultant Larry Selden has identified "demon customers" like those who file for a rebate then return the item. OK, I get that one .... Other categories like customers who only buy during sales are more interesting. Best Buy declined comment on how they are dealing with those customers. Some stores have actually "fired" customers. Welcome to the end result of all that customer information data mining."
referenced article


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