Copyright © 2005, SAS Institute Inc. All rights reserved. A Holistic Approach to Customer Lifecycle Management Name: Ken King Title: Industry Strategist.

Slides:



Advertisements
Similar presentations
Customer Relationship Management
Advertisements

Copyright © 2012, SAS Institute Inc. All rights reserved. SAS CUSTOMER INTELLIGENCE SOLUTION BRIEFING SAS MARKETING OPTIMIZATION AND SAS ADAPTIVE CUSTOMER.
BUSINESS DRIVEN TECHNOLOGY Customer Relationship Management
1 McGraw-Hill/Irwin Copyright © 2004, The McGraw-Hill Companies, Inc. All rights reserved. Chapter 6 Enterprise e-Business Systems.
Chapter 9 Achieving Operational Excellence and Customer Intimacy: Enterprise Applications Video Cases Video Case 1a: What Is Workday: Enterprise Software.
8.1 © 2007 by Prentice Hall 8 Chapter Achieving Operational Excellence and Customer Intimacy: Enterprise Applications.
Customer relationship management.
Customer relationship management.
McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 CUSTOMER RELATIONSHIP MANAGEMENT.
Lecture 4 31/1/12.
Lecture 23 – Enterprise Applications Business Information Systems Laudon & Laudon, Ch.8 (P.261)
11.1 © 2006 by Prentice Hall 11 Chapter Enterprise Applications and Business Process Integration.
McGraw-Hill/Irwin Copyright © 2008, The McGraw-Hill Companies, Inc. All rights reserved.
Driving Productivity with Microsoft Dynamics CRM Presenter Name Presenter Title Presenter Date.
2006/12/191 Using E-CRM for a unified view of the customer COMMUNICATIONS OF THE ACM, April 2003, Vol.46 No.4 Shan L. Pan & Jae-Nam Lee Reporter: Shing-Jiun.
CUSTOMER RELATIONSHIP MANAGEMENT
Achieving Operational Excellence Enterprise Applications Business Information Systems Laudon & Laudon Ch.8 (P.266)
Achieving Operational Excellence Enterprise Applications Business Information Systems Laudon & Laudon Ch.8 (P.266)
Enterprise Applications and Business Process Integration
Hosted by Achieving Best Business Performance Mark R. Willford, Partner Accenture.
Enterprise Applications and Business Process Integration
McGraw-Hill/Irwin Copyright © 2008, The McGraw-Hill Companies, Inc. All rights reserved.
First Quiz 1 Tuesday February 7 th Will cover chapters 1 (except pages 16-29), 2 and appendix A.
Introduction to Building a BI Solution 권오주 OLAPForum
How to Grow Revenues Through Supply Chain Relationship Management Bill Burke President, CEO ePlains, Inc.
Lecture-9/ T. Nouf Almujally
BPM+CRM synergy to boost business efficiency
Customer Relationship Management
CREATE THE DIFFERENCE Customer Relationship Management Further CRM.
Customer Relationship Management
BUSINESS DRIVEN TECHNOLOGY Customer Relationship Management
CUSTOMER RELATIONSHIP MANAGEMENT
McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, All Rights Reserved Business Plug-In B9 Customer Relationship Management.
Customer Retention Through Analytics Paul King, President & COO Aperio CI September 18, 2008.
Bogdan Lazaroae: Using technology for improved decision making Bucharest, Romania, May 30, 2007 From Call Data.
Learning objectives What approaches can be used to create digital marketing strategies? How does digital marketing strategy relate to other strategy development?
1 Chapter 21: Customer Relationship Management (CRM) Prepared by Amit Shah, Frostburg State University Designed by Eric Brengle, B-books, Ltd. Copyright.
Chapter 21 Copyright ©2012 by Cengage Learning Inc. All rights reserved 1 Lamb, Hair, McDaniel CHAPTER 21 Customer Relationship Management (CRM)
Chapter 9 Achieving Operational Excellence and Customer Intimacy: Enterprise Applications.
1.Microsoft Office WordPerfect Suite Enterprise Resource Planning systems. 4.Lotus Sametime systems. 5.Integrated database systems. A suite.
McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved CHAPTER 9 CUSTOMER RELATIONSHIP MANAGEMENT.
Building a Customer- Centric Organization – Customer Relationship Management CHAPTER 11 Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights.
8.1 © 2007 by Prentice Hall 8 Chapter Enterprise Systems Applications.
Customer Relationship Management Wagner & Zubey (2007) 11 Copyright (c) 2006 Prentice-Hall. All rights reserved. Copyright 2007 Thomson Publishing: All.
7-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
PPTTEST 10/30/ :06 1 IT Ron Williams Business Innovation Through Information Technology IT Portfolio.
8 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved. Enterprise Business Systems Chapter 8.
8 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
“ONE” - Business Elsevier
Align Business and Information Technology – with SOA Pradeep Nair Director – Software Group (IBM India/SA)
MANAGING CUSTOMER RELATIONSHIP IN SERVICES MARKETING - 4 th December 2010.
ORCALE CORPORATION:-Company profile Oracle Corporation was founded in the year 1977 and is the world’s largest s/w company and the leading supplier for.
Gerhard Steinke1 Enterprise Requirements Planning (ERP) Customer Relationship Management (CRM) Data Warehousing.
ISQS 3358, Business Intelligence Anatomy of Business Intelligence Zhangxi Lin Texas Tech University 1.
Microsoft Dynamics CRM Jeanett Heller Product Marketing Manager, Dynamics Microsoft Danmark.
Copyright The Asian Banker All rights reserved 1 The Asian Banker Integrating payments across business segments to improve efficiency Best practice.
Topic 4:.  As with any disruptive innovation, separating the reality from the mythical can be a challenge for any prospective customer trying to accurately.
1 © 2014 by McGraw-Hill Education. This is proprietary material solely for authorized instructor use. Not authorized for sale or distribution in any manner.
8 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
Using Robotic Process Automation to Create a Digital Workforce Jeff Chandler, Sales Engineer, Kofax.
Customer Relationship Management
Customer Relationship Management
Customer Relationship Management
Chapter 21: Customer Relationship Management (CRM)
Customer Relationship Management
Customer Relationship Management
Customer Relationship Management
CUSTOMER RELATIONSHIP MANAGEMENT CONCEPTS AND TECHNOLOGIES
Customer Relationship Management
Presentation transcript:

Copyright © 2005, SAS Institute Inc. All rights reserved. A Holistic Approach to Customer Lifecycle Management Name: Ken King Title: Industry Strategist - Telecommunications CANTO – June 2005

Copyright © 2005, SAS Institute Inc. All rights reserved. The long-Term Challenge for Wireless Operators According to McKinsey: To justify [today’s stock] prices, the typical carrier will need, by 2008, to simultaneously:  Limit ARPU erosion to 1% annually  Reduce Churn by 9%  Reduce Acquisition costs by 20%  Reduce Service costs by 20% Source: Deutsche Bank; Morgan Stanley; McKinsey analysis The McKinsey Quarterly 2003 number 4

Copyright © 2005, SAS Institute Inc. All rights reserved. Agenda  Key Metrics in the Wireless Market  What theses Metrics reveal about Performance  Case Study  Managing Churn  Measuring Customer Profitability  Fully Integrated Customer Lifecycle Management across the enterprise

Copyright © 2005, SAS Institute Inc. All rights reserved. This chart looks at: ARPU, CCPU, CPGA, Churn, WACC Source: Lehman Brothers Q Earnings Reports Keeping a customer vs. getting a new one Payback Period on Customer Acquisition

Copyright © 2005, SAS Institute Inc. All rights reserved. This chart looks at: ARPU, CCPU, CPGA, Churn, WACC Source: Lehman Brothers Q Earnings Reports Customer Lifetime Value

Copyright © 2005, SAS Institute Inc. All rights reserved. Nextel Case Study – Phase 1  Proactive Churn management  Business Challenge Segment customers by profitability and reduce churn among the most profitable segments Mandatory Implementation of number portability in November 2003  Solution Nextel Customer LifeCycle division executed a multi-year strategy incorporating advanced customer analytics  Business Benefit Nextel’s use of advanced analytics led to a churn rate reduction from 2.6% down to 1.5% Cost per save reduced by 50% Customer claims more than $1B additional earnings

Copyright © 2005, SAS Institute Inc. All rights reserved. Nextel Case Study – Phase 2  Proactive Campaign Management  Business Challenge “Getting the Right Message to the Right Customer at the Right Time” Increasing speed to market of all campaigns Reviewing and approving development of campaigns online Providing optimization of all campaigns Tracking of customer communication history Coordinating multi-channel, multi-touch campaigns Automating campaign management capabilities as current programs were manually supported with internal, agency and IT resources  Solution Marketing Automation and Marketing Optimization solutions afforded Nextel the ability to segment customers, build models with all data points, and keep track of customer actions. The solutions will automate every existing marketing process and optimize customer segments by ARPU, LTV, likelihood to respond, etc.

Copyright © 2005, SAS Institute Inc. All rights reserved. Churn Types & Reasons Voluntary Involuntary Deliberate Incidental Fraud Non-payment Under-utilization Economics Quality Social Technology Convenience Major Life Changes Location Finance New Technology Features Handsets Subscription Activation Per Minute Friends/Family Experimenting Image Retail Channels Internet Billing Customer Service Call Quality Coverage Reasons Types (customers’ choice) (operator initiated) Source: Telecom Churn Management, The Golden Opportunity Rob Mattison

Copyright © 2005, SAS Institute Inc. All rights reserved. Customer Lifecycle can be leveraged IntensifyRetentionTermination & Recovery - $ + $ $ 0 Stages cash flow (Before) Acquisition Cost More efficient acquisition Better cross- and up-selling more effective customer retention

Copyright © 2005, SAS Institute Inc. All rights reserved. Profitability may not correlate to Revenue

Copyright © 2005, SAS Institute Inc. All rights reserved. Analyst Validation Carriers.. Will develop matchless competitive advantage if they choose to build the organizational, channel, and IT capabilities needed to identify and capture opportunities to raise their customers’ lifetime value. McKinsey, 2003

Copyright © 2005, SAS Institute Inc. All rights reserved. Vision – Decision Centric BI for ICM Transactional Platform Processes: Billing, CRM, Ordering, Collections, Network, PRM… Business Intelligence Platform Data: Revenue, Cost, Customer, Product, Usage, Partner… Extract, Transform, Load Contact Center Optim. Customer Profitability / CLTV Retention/ Churn Revenue Assur. Cross/ Up Sell Integrated Analytics Technology: Reporting, OLAP, Data Mining, Dashboards, Alerts… Segmen- tation Rate Plan Opt. Service Provision Optim. Collect- ions Optim. Channel Perform- ance

Copyright © 2005, SAS Institute Inc. All rights reserved.