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- W2254882941 abstract "This paper studies the marketing problem of a firm trying to obtain an attractive mix of customers by making customized offers. The firm values the average features of the acquired set of customers, makes decisions with uncertainty about whether and which customers will accept offers, is risk averse, and faces a resource constraint. These features do not allow the application of standard procedures, so we develop methods tailored to the stochastic nature of the problem in order to be computationally feasible. These methods include calculating probabilistic guarantees for the approximate utility function and bounds on the optimal value. Our approach overcomes both the Optimizer's Curse and the computational difficulty of enumeration techniques for this problem. We apply the approach to an MBA admission process and implement adjusted scholarship decisions. We demonstrate the methodology can generate statistically significant improvements over current management decisions. By comparing our solution to what management would do on its own, we provide insight into the nature of mistakes management made in this complex decision environment. We believe that the methodology proposed here, i.e., the model, the probabilistic guarantees, and the computational approach, will prove to be valuable in a variety of different applications." @default.
- W2254882941 created "2016-06-24" @default.
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- W2254882941 date "2010-01-01" @default.
- W2254882941 modified "2023-09-23" @default.
- W2254882941 title "Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers" @default.
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- W2254882941 doi "https://doi.org/10.2139/ssrn.1649484" @default.
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