@article{discovery10156641,
           month = {August},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
           title = {Optimal Price Targeting},
            year = {2022},
         journal = {Marketing Science},
       publisher = {INFORMS},
          author = {Smith, Adam N and Seiler, Stephan and Aggarwal, Ishant},
            issn = {0732-2399},
             url = {https://doi.org/10.1287/mksc.2022.1387},
        keywords = {Social Sciences, Business, Business \& Economics, targeting, personalization, heterogeneity, choice models, machine learning, PROMOTIONS, BRAND, STRATEGIES, VARIABLES, SELECTION, ONLINE, SMOTE, MODEL},
        abstract = {The paper compares the profitability of personalized pricing policies that are generated from different models of demand and using different data inputs.}
}