University of Worcester Worcester Research and Publications
 
  USER PANEL:
  ABOUT THE COLLECTION:
  CONTACT DETAILS:

Predicting Customer Retention in Discrete and Continuous Services

Watts, Helen (2015) Predicting Customer Retention in Discrete and Continuous Services. In: Markt-und Absatzprognosen. FOM-Edition (FOM Hochschule für Oekonomie & Management) . Springer Fachmedien Wiesbaden, Wiesbaden, pp. 89-106. ISBN Print: 978-3-658-04491-6 Online: 978-3-658-04492-3

Full text not available from this repository. (Request a copy)

Abstract

Optimising customer loyalty is critical for any organisation. However, achieving customer loyalty is challenging, especially in service industries. This chapter discusses customer loyalty, the challenges of achieving customer loyalty in service industries, and the different challenges to achieving loyalty in continuous (membership-based) service providers compared to discrete service providers. Finally, a step-by-step risk profiling approach is presented, based on a mixed-method research approach, to help service organisations predict the likelihood of loyalty and implement targeted interventions to customer segments most at risk of defection.

Item Type: Book Section
Additional Information:

A copy of this title is held at the Hive. External users should check availability with their local library or Interlibrary Requests Service.

Uncontrolled Keywords: service provider, service industry, service organisation, customer loyalty, service failure, marketing forecasting, sales forecasting
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HB Economic Theory
Divisions: Academic Departments > Worcester Business School
Related URLs:
Depositing User: Helen Watts
Date Deposited: 13 Jun 2019 13:46
Last Modified: 13 Jun 2019 13:46
URI: https://eprints.worc.ac.uk/id/eprint/8151

Actions (login required)

View Item View Item
 
     
Worcester Research and Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.