Page 275 - DMGT308_CUSTOMER_RELATIONSHIP_MANAGEMENT
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Customer Relationship Management




                    Notes          how  customers  perceive  the product  relative  to  a  competitor  and how  price  and  quality
                                   perceptions will affect their choice in purchasing (Gallagher & Kordupleski, 2000). Most of the
                                   analysis work is in determining the components to quality, although depending on the product
                                   and category, price can have several components that require analysis as well. When performing
                                   this analysis, perceived price (or price satisfaction) and perceived quality are the key measures
                                   versus actual price and quality. Surveys are a primary means of capturing CVA data. Frequencies
                                   and  sampling  can  vary  depending  on  how  dynamic  the  customer  base  and  competitive
                                   environment are and how frequently internal processes within the company change.
                                   CVA fits inside of a comprehensive framework call Customer Value Management (CVM). CVA
                                   is the information component of customer value management (APQC, 2001).
                                   CVM has a strategic component that helps companies answer four basic questions:
                                   1.  Where are we now?
                                   2.  Where do we want to go?

                                   3.  How do we want to get there?
                                   4.  Are we there?
                                   CVM also has a continuous improvement component or an operational component that helps
                                   companies understand the root cause of delivery failures, improve the value delivery systems,
                                   enhance team development across all improvement initiatives and establish customer recovery
                                   or intervention programs to keep and enhance profitable customers and shed unprofitable ones.
                                   The APQC identifies four basic steps for establishing  and monitoring  a CVM  measurement
                                   system:
                                   1.  Identify strategic priorities in the context of customers and products.
                                   2.  Conduct qualitative research to get a comprehensive understanding of the ways customers
                                       think about value.
                                   3.  Conduct surveys that will provide data for analysis so that the company can determine
                                       what from the customer’s perspective are the 3-4 key benefits of the 10 or 12 benefits for
                                       each product. These surveys need to be specific to customer segments.
                                   4.  Monitor the value proposition with a limited subset of questions.
                                   CVM proponents feel the method addresses limitations within the customer satisfaction survey
                                   approach. According to the APQC, customer satisfaction scores  lack linkage  to key  internal
                                   performance metrics and may be unrepresentative of how customers really evaluate product
                                   and service purchase decisions. The customer satisfaction framework is older and widely adopted
                                   in North America while the customer value framework is newer and being adopted by leading
                                   edge companies (Gale, 2002). Gale positions CVM as the latest evolutionary version of voice-of-
                                   the-customer  initiatives with  conformance  quality  as  the  first followed  by the  customer
                                   satisfaction and then the customer loyalty paradigm.
                                   Loyalty Monitoring: Frederick F. Reichheld’s writings on loyalty (not just customer loyalty, but
                                   employee and shareholder loyalty as well) are widely cited with the CRM world as a framework
                                   for measuring  the effect of  customer-facing  activities. This  measurement framework  helps
                                   companies look at the customer base along a longitudinal axis. The central notion is that if a
                                   company can cause fewer customer defections, the long-term effects on company performance
                                   would be significant. Customer loyalty data, then, serves as a predictor of financial performance.
                                   For example a 5% increase in customer retention rate can have between a 30% and 95% impact on
                                   customer net present value and a similar impact on corporate profits (Reichheld, 1996).






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