A new approach to customer targeting under conditions of information shortage

Marketing Intelligence and Planning

Volumn 25, Issue 4, 2007, Pages 343-359

  Yu, You Ping ^a   Cai, Shu Qin ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Business to business marketing; Customer orientation; Industrial marketing; Information; Marketing intelligence; Marketing planning

Indexed keywords

EID: 34250325436     PISSN: 02634503     EISSN: None     Source Type: Journal    
DOI: 10.1108/02634500710754583     Document Type: Article

References (19)

1. Brown, M.L. and Kros, J.F. (2003), "Data mining and the impact of missing data", Industrial Management & Data Systems, Vol. 103 No. 8, pp. 611-21.
2. Coe, J.M. (1989), "A new era in business marketing", Direct Marketing, Vol. 52 No. 1, pp. 80-4.
3. Coe, J.M. (2004), "The integration of direct marketing and field sales to form a new B2B sales coverage model", Journal of Interactive Marketing, Vol. 18 No. 2, pp. 62-74.
4. Cunningham, M.T. and Roberts, D.A. (2001), "The role of customer service in industrial marketing", European Journal of Marketing, Vol. 8 No. 1, pp. 15-28.
5. Deichmann, J., Eshghi, A., Haughton, D., Sayek, S. and Teebagy, N. (2002), "Application of multiple adaptive regression splines (MARS) in direct response modeling", Journal of Interactive Marketing, Vol. 16 No. 4, pp. 15-27.
6. Elsner, R., Krafft, M. and Huchzermeier, A. (2004), "Optimizing Rhenania's direct marketing business through dynamic multilevel modeling (DMLM) in a multicatalog-brand environment", Marketing Science, Vol. 23 No. 2, pp. 192-206.
7. Gönül, F. and Shi, M.Z. (1998), "Optimal mailing of catalogs: A new methodology using estimable structural dynamic programming models", Management Science, Vol. 44 No. 9, pp. 1249-62.
8. Gönül, F., Kim, B.D. and Shi, M.Z. (2000), "Mailing smarter to catalog customers", Journal of Interactive Marketing, Vol. 14 No. 2, pp. 2-16.
9. Ha, K., Cho, S. and Maclachlan, D. (2005), "Response models based on bagging neural networks", Journal of Interactive Marketing, Vol. 19 No. 1, pp. 17-30.
10. Han, J. and Kamber, M. (2001), Data Mining: Concepts and Techniques, China Machine Press, Beijing, (Chinese edition).
11. Kim, Y.S., Street, W.N., Russell, G.J. and Menczer, F. (2005), "Customer targeting: A neural network approach guided by genetic algorithms", Management Science, Vol. 51 No. 2, pp. 264-76.
12. Kumar, V. and Shah, D. (2004), "Building and sustaining profitable customer loyalty for the 21st century", Journal of Retailing, Vol. 80, pp. 317-30.
13. Kumar, V., Bohling, T.R. and Ladda, R.N. (2003), "Antecedents and consequences of relationship intention: Implications for transaction and relationship marketing", Industrial Marketing Management, Vol. 32, pp. 667-76.
14. Li, C.Q., Xu, Y.F. and Li, H.Y. (2005), "An empirical study of dynamic customer relationship management", Journal of Retailing and Consumer Services, Vol. 12, pp. 431-41.
15. Rud, O.P. (2003), Data Mining Cookbook Modeling Data for Marketing, Risk and Customer Relationship Management, China Machine Press, Beijing, (Chinese edition).
16. Weber, K. and Sun, Z.H. (2000), "Fuzzy stochastic dynamic programming for marketing decision support", International Journal of Intelligent System, Vol. 15, pp. 763-83.
17. Woo, J.Y., Bae, S.M. and Park, S.C. (2005), "Visualization method for customer targeting using customer map", Expert Systems with Applications, Vol. 28, pp. 763-72.
18. Zahavi, J. and Levin, N. (1997), "Applying neural computing to target marketing", Journal of Direct Marketing, Vol. 11 No. 4, pp. 76-93.
19. Zeithaml, V.A., Rust, R.T. and Lemon, K.N. (2001), "The customer pyramid: Creating and serving profitable customers", California Management Review, Vol. 43 No. 4, pp. 118-142.