Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When

Authors

Knowledge@SMU

Publication Type

Journal Article

Publication Date

10-2007

Abstract

Winning new customers is expensive. More businesses are acting proactively to forestall losing existing clients by using predictive software to help pinpoint those likely to defect. Singapore Management University marketing professor Andre Bonfrer is working in partnership with George Knox (Tilburg University), Jehoshua Eliashberg (The Wharton School) and Jeongwen Chiang (Cheung Kong Graduate School of Business) to develop a predictive model targeted at the subscription-based service sector.

Disciplines

Business | Marketing

Copyright Owner and Holder

Copyright © Singapore Management University 2012

Licece/Creative Commons Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Article ID

1101

Subject(s)

Marketing

Citation

Knowledge@SMU. Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When. (2007).
Available at: https://ink.library.smu.edu.sg/ksmu/317