Dynamic and Competitive Effects of Direct Mailings: A Charitable Giving Application

Journal of Marketing Research - Tập 46 Số 1 - Trang 120-133 - 2009
Merel van Diepen1, Bas Donkers2, Philip Hans Franses3
1Erasmus Research Institute of Management and Econometric Institute, Erasmus University Rotterdam
2Department of Business Economics, Erasmus University Rotterdam
3Econometric Institute, Erasmus University, Rotterdam

Tóm tắt

The authors propose a dynamic direct mailing response model with competitive effects. Purchase and promotion history are incorporated to map the dynamic competitive interactions among the firms sending the mailings. The authors investigate the impact of direct mailings on the revenues of each firm and its competitors over time. The model accounts for endogeneity of the mailing decision and for unobserved heterogeneity across households. The model is considered in a charitable giving setting, in which households often receive many direct mailings of different charities within a short period and competition is strong. The authors construct a unique database by merging the databases of three large charity organizations in the Netherlands. This results in household-level data on the direct mailings households received from and their donations to each of the three charities. The results show that a charity's own mailings are short-term substitutes; that is, an extra mailing cannibalizes the revenues of subsequent mailings. Furthermore, competitive charitable direct mailings tend to be short-term complements; that is, the direct mailings increase the total pie that is divided among the charities. In the long run, these effects die out. The results are also interpreted from a behavioral perspective.

Từ khóa


Tài liệu tham khảo

10.1002/nvsm.148

Amemiya Takeshi, 1985, Advanced Econometrics.

10.2307/2234133

Andreoni James, 2006, Handbook of Giving, Reciprocity and Altruism, 1201

10.1509/jmkr.45.1.060

10.1177/002224299606000303

10.1002/nvsm.198

10.1287/mksc.14.4.378

10.1108/07363769410065454

10.1287/inte.31.1.77.9691

Chib Siddhartha, 1995, American Statistician, 49, 327, 10.1080/00031305.1995.10476177

10.1177/002224377601300404

10.1002/(SICI)1520-6653(199922)13:3<2::AID-DIR1>3.0.CO;2-H

10.1023/A:1027492516677

10.1002/nml.12302

10.1002/dir.1012

Direct Marketing Association, 2007, DMA 2007 Statistical Fact Book: The Definitive Source for Direct Marketing Benchmarks.

10.1002/jae.858

10.1177/002224299505900203

10.1002/(SICI)1522-7138(199723)11:4<6::AID-DIR3>3.0.CO;2-T

Elliott Michael T., 1998, Journal of Advertising Research, 38, 29

10.1287/mksc.1040.0063

Fishbein Martin, 1975, Belief Attitude, Intention, and Behavior: An Introduction to Theory and Research.

10.1509/jmkr.43.3.443

10.1002/nvsm.74

10.1109/TPAMI.1984.4767596

10.1287/mnsc.44.9.1249

10.1287/mksc.1050.0136

Greyser Stephen A., 1973, Journal of Advertising Research, 13, 3

10.1080/00913367.1997.10673521

10.1287/mksc.18.1.1

10.1086/376801

10.1086/208571

10.1002/(SICI)1520-6653(199824)12:1<56::AID-DIR7>3.0.CO;2-7

10.1509/jmkr.43.2.259

10.1007/978-1-4615-4050-2

10.1509/jmkr.41.4.467.47005

10.1037/0022-3514.81.1.33

10.1287/mksc.17.3.214

Naik Prasad A., 2002, “Understanding the Role of Marketing Communications in Direct Marketing,”

10.1287/mksc.1040.0083

10.1509/jmkr.39.4.421.19114

10.1016/S0377-2217(03)00349-7

10.1509/jmkg.71.2.169

10.1287/mksc.15.4.321

10.1177/002224297904300202

10.1362/026725799784870351

10.1002/nml.10102

10.1111/j.1465-7295.2008.00161.x

10.1287/mnsc.1050.0504

10.1080/01621459.1987.10478458

10.1177/002224379403100308

10.1016/S0167-9236(02)00069-6

10.2501/JAR-43-3-310-321

10.1037/h0025848

10.1177/002224295902300301