ABSTRACT
Precise and personalized coupon distribution is an important marketing method for merchants. A proper coupon distribution strategy can improve user experience and promote re-consumption. In this paper, an O2O coupon usage prediction model based on XGBoost is proposed. The experiment shows that the AUC value of XGBoost model is 0.82, which is better than random forest and logistic regression. The model can help merchants to develop the coupon distribution strategy purposefully and accurately locate the target population.
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