An Approach for Tracking Within-Segment Shifts in Market Shares
提出一种方法，将市场按消费者选择概率细分为品牌忠诚和多重转换细分，并用logit模型将细分内份额变化与价格、促销等营销变量关联，相比传统聚合方法预测效果略有提升。
Most approaches to examining the effects of marketing variables on market shares treat the market as a single aggregate. Examining the marketing effects at the segment level would be more useful managerially. Recently, Grover and Srinivasan proposed that a market segment be defined as a group of consumers homogeneous in terms of the probabilities of choosing the different brands in a product class. The market is thereby segmented into brand loyal segments and multiple switching segments. The authors extend this approach to allow the within-switching-segment market shares to vary across periods. The changes over time in within-segment market shares are related to marketing variables such as price and promotion through a logit model. Application of the model to data from a scanner panel shows that the proposed approach produces a modest improvement in predictive validity in comparison with the traditional approach of treating the market as a single aggregate.