Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When
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...
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2007
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sg-smu-ink.ksmu-13162018-07-09T04:00:09Z Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When Knowledge@SMU 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. 2007-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/ksmu/317 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1316&context=ksmu http://creativecommons.org/licenses/by-nc-nd/4.0/ Knowledge@SMU eng Institutional Knowledge at Singapore Management University Business Marketing |
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Singapore Management University |
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SMU Libraries |
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Singapore |
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English |
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Business Marketing |
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Business Marketing Knowledge@SMU Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When |
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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. |
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| title |
Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When |
| title_short |
Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When |
| title_full |
Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When |
| title_fullStr |
Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When |
| title_full_unstemmed |
Prediction Software Identifies Cellphone, Cable and Internet Subscribers Who Are Likely to Defect and When |
| title_sort |
prediction software identifies cellphone, cable and internet subscribers who are likely to defect and when |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2007 |
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https://ink.library.smu.edu.sg/ksmu/317 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1316&context=ksmu |
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1681132846211661824 |