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- 1.
The approach of calibrating quantitative models by examining subjective (managerial) judgments about outcomes of the investigated process (e.g., market share or sales of a firm) under a variety of hypothetical scenarios (e.g., advertising spending level, promotion expenditures). Once the model linking process outcomes to marketing decision variables has been calibrated, it is possible to derive an optimal marketing recommendation.
- 2.
Research studies in this stream have focused on customer data from retailers that own their own brick and mortar stores and therefore have direct contact with customers in this channel.
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Reinartz, W.J., Venkatesan, R. (2008). Decision Models for Customer Relationship Management (CRM). In: Wierenga, B. (eds) Handbook of Marketing Decision Models. International Series in Operations Research & Management Science, vol 121. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78213-3_9
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