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Customer Relationship Management

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Quali/quant. Data. Demographics. and. Third Party. Data ... Quali/Quant. Research. CRM Analytics. Behavioral & Attitudinal Data. ROI. Customer Loyalty ... – PowerPoint PPT presentation

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Title: Customer Relationship Management


1
Customer Relationship Management
  • Professor William Qualls
  • University of Illinois

2
Balanced Scorecard
  • The concept originated with 12
  • companies in a study group lead by
  • Robert Kaplan of Harvard University
  • Used by a majority fortune 500,
  • Government, non-profit enterprises
  • Focuses on outcomes/results -not activities
  • Looks at five performance areas rather than a
  • single, traditional bottom line

3
5 primary areas of performance focus ...
  • Customer Management Perspective - To achieve our
    vision, how must we look to our customers
    constituents?
  • Internal Operations Perspective - To satisfy our
    customers, what management processes must we
    excel at?
  • Organizational Learning and Innovation
    Perspective - To achieve our vision, how must
    our university learn and improve?
  • Financial Management Perspective - If we
    succeed, how will we look to our constituents?
  • Employee Empowerment Management - How will we
    reward performance and provide for learning?

4
Benefits of A BALANCED SCORECARD
  • Clarifies a firms Vision
  • Provides balanced assessment accountability at
    all levels
  • Creates alignment of strategic operating
    priorities with results
  • Supplies strategic feedback key learnings
  • Links rewards to performance outcomes
  • Accelerates organizational change

5
Customer Relationship Management (CRM)
  • CRM is a business strategy that an organization
    performs to identify, select, acquire, develop,
    retain, and better serve customers
  • A CRM strategy attempts to optimize a firms
    profitability, revenue and customer satisfaction
    by focusing on a customer centric process.

6
EVOLUTION OF CRM
  • 1980S
  • Focus on Data Mining and Direct Marketing was the
    outcome
  • 1990S
  • Focus on loyalty programs

2000S
7
GOALS OF CRM
  • Provide better customer service
  • Cross sell products more effectively
  • Helps sales staff
  • Simplify marketing and sales processes
  • Discover new customers and new customer needs
  • Increase customer revenue

8
CRM AND SRM
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10
CRM and Analytics
  • 2. Whats Missing?
  • Who, what, why
  • Robust qualitative Hearing the Consumer/Client
    Voice
  • Primary research customized to clients real
    marketing and sales need
  • True 360 degree analytic view of client
  • General lack of understanding of clients
    business and negligible insight delivery
  • No way to do standard market driver protocols
    tests, market measurement, satisfaction loyalty
    assessment
  • No guidance on what to do with all the data
  • 1. Typically, CRM Analytics are
  • Automated alerts
  • Automated scripts to assist Customer Service or
    Sales
  • Automated data mining templates, very
    restrictive and inflexible
  • 3. This leads to three areas of need
  • Deliver full faceted analytics
  • Enrich customer understanding
  • Optimize CRM strategy and customer
    intelligence (data, customer understanding, and
    marketing driven solutions)

11
Full-Faceted CRM Analytics Are Needed
12
Understanding of Customer Needs to be Enriched
Behavior Transaction, Scanner CRM
Clickstream Data
Attitudes Perceptual Attitudinal Quali/quant Data

Demographics and Third Party Data
Data Stream
  • SEGMENTING
  • Cross Tables
  • Cluster Analysis
  • Correspondence Analy.
  • Principal Components
  • CART
  • PREDICTING
  • Regression
  • Neural Networks
  • Genetic Algorithms
  • CART
  • Bayesian Choice
  • TESTING/MODELING
  • Chi Square
  • T-Tests/ANOVA
  • Structural Modeling
  • Data Modeling

Marketing Strategies, Responses, and Actions
13
CRM Strategy Has to be in Place and Optimized for
Effectiveness
Determine Business Drivers
Assess Customer Value
Develop, Test Deploy CRM Value Propositions
Measure, Analyze Refine CRM Processes
Quali/Quant Research
Test Levers Evaluate Models Measure
Effectiveness Refine Solutions
Market Analysis Secondary Research Competitive
Intelligence Segment/Profile
CRM Analytics Behavioral Attitudinal
Data ROI Customer Loyalty Customer Satisfaction
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