Performance Comparison based on CRM



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Transcription:

Performance Comparison based on CRM Presented To: Prof. Dr. Eduard Heindl Presented By: Saritha Elisetty Date: 10.12.2015

Agenda Introduction CRM Performance Measurement CRM Performance Measurement Traditional Criteria CRM Performance Measurement New Criteria Analytic Network Process (ANP) CRM Performance Comparison - using ANP Conclusion Outlook for the e-commerce Market Q&As

Introduction The aim of this presentation is to compare the performances of e-commerce companies based on CRM, by using a multiple criteria decision making (MCDM) approach. Analytical network process (ANP) is a MCDM methodology which can take the inner and outer dependencies among multiple criteria into consideration. 3

Performance Measurement - Definition Performance is defined as the potential for future success of actions in order to reach the objectives and targets (Lebas, 1995). Performance measurement can be defined as a part of a management process that is realized periodically in order to determine the success or quality of a particular process or activity (Oztaysi,2009). Performance measurement is a combination of companies characteristics that are numerically expressed (Folan, Browne, & Jagdev, 2007). In another perspective, performance measurement is process of choosing different attributes and generating a combined evaluation based on these attributes. 4

Performance Measurement - Objectives By performance measurement, companies can look ahead, look back and motivate and compensate people. Performance at the top management level: Look ahead and look back aim at measuring the economic performance and past accomplishments of the company as a whole. Performance at the individual level: Motivate and compensate, at the individual level, motivate and drive the compensation of individual people within the company. 5

CRM Performance Measurement Traditional Criteria Performance measurement in CRM can be analyzed in four groups: 1. Indirect measures and operational indicators 2. Self assessment 3. Benchmarking with best practices 4. CRM Scorecards 6

CRM Performance Measurement Traditional Criteria 1. Indirect measures and operational indicators Indirect measures aim at evaluating CRM performance by indicators such as customer equity and brand equity. Operational indicators on the other hand identify information about the efficiency of the customer related operations. 2. Self assessment There are tools/scales that are generated by statistical methods These studies aim at measuring relationship quality, behavioral dimensions or holistic CRM. 7

CRM Performance Measurement Traditional Criteria 3. Benchmarking with best practices The method has defined nine assessment areas which are; Information technology, people, process, customer management, analysis, proposition customer management, measurement, customer experience and competitors. This method is a measurement tool which is based on comparison of companies performance with the best practices in the same performance assessment area. 4. CRM Scorecards The most important steps in CRM scorecard applications 8

CRM Performance Measurement New Criteria The dimensions used in CRM performance measurement : What is the performance level of CRM outputs observed in the company? Are we aligned with the CRM goals? CRM Outputs Organizational Alignment Customers CRM Process What are the customers attitudes towards the company? How good are we in executing the CRM processes? 9

CRM Performance Measurement New Criteria Dimensions and Criteria Dimension CRM outputs (Goals) Customer CRM process Organizational alignment Criteria Customer retention (CR) Customer acquisition (CA) Share of Wallet (SoW) Customer value (CV) Customer satisfaction (CS) Customer loyalty (CL) Customer targeting (CT) Enquiry management (EM) Customer knowledge generation (CKG) Campaign management (CM) Managing problems (MP) Product logistics (PL) Intellectual alignment (IA) Social alignment (SA) Technological alignment (TA) 10

CRM Performance Measurement New Criteria Dimension 1: CRM Outputs CRM aims to improve economic performance of companies by affecting customer retention, customer acquisition and Share of Wallet. Customer retention (CR): represents the achievement of the company in keeping the existing customers. Customer acquisition (CA): indicates success of the company in acquiring profitable new customers. Targeting profitable customers, integration offerings across channels and improved pricing are most important drivers of CRM activities. Share of Wallet (SoW): represents how the customers divide their purchases across the competing companies by up-selling and cross-selling activities. 11

CRM Performance Measurement New Criteria Dimension 2: Customer The customers dimension is defined by three criteria; customer value, customer satisfaction and customer loyalty. Customer value (CV): customers perceived benefit from a product or service benefit from the product or service Customer satisfaction (CS): customer s general evaluation about his/her experience with the product or service. Customer satisfaction is an important criteria for the performance of CRM. Customer loyalty (CL): the customers behavioral and attitudinal bond with the company. 12

CRM Performance Measurement New Criteria Dimension 3: CRM Processes Customer targeting (CT Enquiry management (EM) Customer knowledge generation (CKG) to improve the competitiveness Campaign management (CM) Managing problems (MP) Product logistics (PL) is a vital component of e-commerce 13

CRM Performance Measurement New Criteria Dimension 4: Organizational Alignment Intellectual alignment (IA): defines the alignment of company s strategy and management with the CRM initiatives. Social alignment (SA): is composed of organizational culture, interaction with shareholders and domain knowledge. Technological alignment (TA): the alignment of CRM software with the current business needs and IT capabilities of the company. 14

Analytical Network Process (ANP) What is ANP? A methodology that allows groups or individuals to deal with the interconnections (dependence and feedback) between factors of complex structure in decision making process A Multi Criteria Decision Making method for complicated and unstructured problems An approach that uses a network model having clusters of elements (criteria and alternatives) The purpose of ANP is to determine the priorities of the elements in the network and in particular the alternatives of the decision. 15

Analytical Network Process (ANP) Why is ANP preferred over AHP? Analytical Hierarchy Process (AHP): In a hierarchy, alternatives affect (depend on) the criteria, criteria affect goal of firms Analytical Network Process (ANP): Network model with dependence and feedback improves the priorities derived from judgments and makes prediction much more accurate. CRM: In complex decisions, dependence and feedback play a vital role. ANP is used for comparing the CRM performances of the considered e-commerce 16 firms.

Analytical Network Process (ANP) 17

Analytical Network Process (ANP) - Example 18

Comparison of CRM Performance in e-commerce market using ANP 4 Dimensions measured by ANP: Network structure of the CRM performance evaluation problem. 19

Comparison of CRM Performance in e-commerce market using ANP A sensitivity analysis is conducted to monitor the robustness of the ranking among the alternative websites to changes in the criteria weights and different interdependency situations. The order of the alternatives based on limiting matrix values normalized by clusters with respect to different weight configurations. As it is seen in the above figure, E-C2 is the e-commerce company with the best CRM performance in the current situation. In this case the organizational alignment (ORGAL) is the most effective cluster (total weight: 0.285). This makes E-C2 the best alternative, while E-C1 and E-C3 share the second place. 20

Conclusion Assessing CRM performance of a company requires considering interdependent factors. Therefore CRM performance evaluation is a MCDM problem which has to take inner and outer dependencies into account. ANP is an excellent methodology which can deal with such issues by considering dependencies between nodes and clusters of criteria. To monitor the dynamics in CRM performances of companies, this model can be reused periodically. 21

E-Commerce Market Sales - Global Estimates in 2013 Actuals in 2013 Growth - 19.4% Source: Goldman Sachs 22

E-Commerce Market - Germany Source: Germany Trade and Invest - Gesellschaft für Außenwirtschaft und Standortmarketing mbh Author: Nadine Späth, Manager, Germany Trade & Invest, nadine.spaeth@gtai.com 23

References B Öztayşi, T Kaya, C Kahraman, (C.2011). Performance comparison based on customer relationship management using analytic network process. Expert Systems with Applications. Folan, P., Browne, J., & Jagdev, H. (2007). Performance: Its meaning and content fortoday s business research. Computers in Industries, 58(7), 605 620. Lebas, M. (1995). Performance measurement and performance management.international Journal of Production Economics(41), 23 25. Lowenstein, M. W. (1995). Customer retention: An integrated process for keeping your best customers. Wisconsin: ASQC Quality Press. Meyer, M. W. (2002). Rethinking performance measurement: Beyond the balanced scorecard. New York: Cambridge University Press. Reinartz, W., Krafft, M., & Hoyer, W. D. (2004). The customer relationshipmanagement process: Its measurement and impact on performance. Journal of Marketing Research, 41(3), 293 305. Saaty, T. L. (1996). The analytic network process. Pittsburgh: RWS Publications. Woodcock, N., Stone, M., & Foss, B. (2003). The customer management scorecard:managing CRM for profit. London: Kogan Page. 24

Q&As

Thank You!