Quantifying the Benefits of Individual-Level Targeting in the Presence of Firm Strategic Behavior

被引:35
作者
Dong, Xiaojing [1 ]
Manchanda, Puneet [2 ]
Chintagunta, Pradeep K. [3 ]
机构
[1] Santa Clara Univ, Leavey Sch Business, Santa Clara, CA 95053 USA
[2] Univ Michigan, Ross Sch Business, Ann Arbor, MI 48109 USA
[3] Univ Chicago, Grad Sch Business, Chicago, IL 60637 USA
关键词
target marketing; structural models; pharmaceutical industry; hierarchical Bayesian models; Markov chain Monte Carlo methods; ENDOGENEITY; DEMAND; DISTRIBUTIONS; PHYSICIAN;
D O I
10.1509/jmkr.46.2.207
中图分类号
F [经济];
学科分类号
02 ;
摘要
The authors develop a method to quantify the benefits of individual-level targeting when the data reflect firm strategic behavior-that is, when firms (1) are engaged in targeting and (2) take into account the actions of competing firms. This article studies a pharmaceutical firm's decision on the allocation of detailing visits across individual physicians. For this analysis, the authors develop, at the individual level, a model of prescriptions and a model of detailing. Using physician panel data, they estimate, at the physician level, the parameters of the prescription and detailing models jointly using full-information Bayesian methods. The results suggest that accounting for firm strategic behavior improves profitability by 14%-23% compared with segment-level targeting. In addition, ignoring firm strategic behavior underestimates the benefit of individual-level targeting significantly. The authors provide reasons for this finding. They also carry out several robustness checks to test the validity of the modeling assumptions.
引用
收藏
页码:207 / 221
页数:15
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