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In 2002, Target asked a statistician to develop a way to identify pregnant customers. Andrew Pole analyzed shopping patterns of expectant mothers, finding common behaviors like buying lotion and vitamins. Using this data, he created a mathematical model to predict pregnancy status, due dates, and trimester. Target utilized this information to send timely coupons to hundreds of thousands of potential pregnant customers, resulting in increased sales and customer loyalty.