Author:
Vriens Marco,van der Scheer Hiek R.,Hoekstra Janny C.,Roelf Bult Jan
Abstract
Given the growing number of firms that use direct mail, it is important to develop methods to improve response rates. Better selection methods are useful for this improvement; determining the important characteristics of the mailing and constructing an optimal design is another way to improve the response. In this paper we focus on the latter. A framework is presented to obtain the optimal direct mail design. We propose and compare two ways of data collection, one in an experimental setting and one in a field‐experimental setting. Both approaches are illustrated with an empirical application for a charity institution, referring to the development of an optimal design of an envelope and a letter.
Reference31 articles.
1. Addelman, S. (1962, “Orthogonal main‐effects plans for asymmetrical factorial experiments”, Technometrics, Vol. 4, pp. 21‐46
2. Akaah, I.P. and Korgaonkar, P.K. (1988, “A conjoint investigation of the relative importance of risk relievers in direct marketing”, Journal of Advertising Research, Vol. 28, August/September, pp. 38‐44.
3. Amemiya, T. (1985, Advanced Econometrics, Harvard University Press, Cambridge, MA.
4. Banslaben, J. (1992, “Predictive modelling”, in Nash, E.L. (Ed.), The Direct Marketing Handbook, McGraw‐Hill, New York, NY, pp. 620‐36.
5. Bauer, C.L. (1988, “A direct mail customer purchase model”, Journal of Direct Marketing, Vol. 2 No. 3, pp. 16‐24.
Cited by
31 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献