Crm

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Crm

2 Grand, P. (2002) ‘Achieving excellent customer
relationships’, Manual of Customer Interface
Management, BWCS Ltd, pp. 69.
3 Hawley, D. and Entner, R. (2003) ‘The intelligent
wireless operator’, Wireless/Mobile Services
report, Yankee Group.
4 Xevelonakis, E. (2004a) ‘Building churn
prediction models’, presented at the IIR Annual
Conference on Optimising CRM & Retention
Strategies, Nice, France.
5 Grand, P. (2002) op.cit.
6 Xevelonakis, E. (2004b) ‘Forcasting churn and
exploiting data for customer retention strategies’,
IIR’s Thirteenth Annual Conference on Telecoms
Market Forecasting, Prague.
7 Coyles, S. and Gokey, C. (2002) ‘Customer
retention is not enough’, The McKinsey Quarterly,
No. 2, www.mckinseyquarterly.com.
8 Kolko, J. (2003) ‘How to stop broadband churn
before it starts’, Forrester, www.forrester.com.
9 Fayyad, M. U., Piatetsky-Shapiro, G., Smyth, P.
and Uthurusamy, R. (1996) ‘Advances in
Knowledge Discovery and Data Mining’, MIT
Press, Menlo Park, CA.
10 English, L. P. (1999) ‘Improving data warehouse
and business information quality’, Wiley, USA.
11 Storbacka, K. (1995) ‘The nature of customer
relationship profitability — Band 55’, Helsingfors,
Helsinki, Finland.
— When a campaign is developed, the
purpose (retention, win back,
cross-/up-selling) and the competitive
environment have to be identified.
— In the calculation of the financial
impact of a campaign, only those
turnovers and costs/contribution
margins which are directly influenced
by the decision to launch a campaign
or not should be considered.
— The important assumptions
(propensity to churn, divergence loss,
duration of the effect of a campaign)
should...
  • Submitted by: aleem
  • Date Submitted: 07/07/2008 09:07 AM
  • Category: Business
  • Words: 308
  • Pages: 2
  • Views: 78
  • Rank: 46381

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