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In 2002, a statistician was tasked by Target to identify pregnant customers using computer analysis. The analyst, Andrew Pole, discovered common shopping patterns of expectant mothers such as buying lotion and vitamins. By analyzing these behaviors, Pole created a mathematical model to predict pregnancy, due dates, and trimesters of hundreds of thousands of women. Target then used this data to send specific coupons to pregnant women at the right time, resulting in increased sales and customer loyalty.
