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Driving High Performance for a Large Wireless Communication Company Through Advanced Customer Insight Accenture Consulting – CRM Customer Insight Presenters:  Ramin Mikaili and Lynette Lilly
Why Customer Insight? In saturated competitive markets, the economics of acquisition and retention becomes painfully obvious and requires a shift in the marketing mix from using the 4 Ps to the 4 Rs.  1 1.  James G. Barnes book "Secrets of Customer Relationship Management" McGraw Hill copyright 2000, page 22-23 4 Ps Price Product Promotion Place 4 Rs Relationships : effective communication, trust, commitment, understanding customer needs  Retention : targeted incentives, rewards, loyalty programs for specific segments Referrals : value selling, Communication Recovery : strong win-back programs,  product and service development  Acquisition determines how fast a company can grow. Retention determines whether a company will survive over time.
Levels Of Insight Various analysis types are employed to make sound decisions about corporate direction, acquisition and capital investments, retention, ups-sell or service. Retention, up-sell, or service Acquisition, capital investments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Corporate Direction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],5-10 Segments 50-100 Cells Millions of Customers Illustrative Business Decisions Level of Insight
Approach Accenture implemented a phased approach for a successful Customer Insight Revenue Generation program.   -20% 0% 20% 40% 60% 80% 100% % of Potential Value Captured Insight Obtainment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ILLUSTRATIVE ,[object Object],[object Object],[object Object],[object Object],Value Capture Value Targeting Phase 1 Phase 2 Leverage Results to Entire Base Phase 4 Results Tracking & Monitoring Phase 3 Establish Growth Strategy Prove Effectiveness Improve Efficiency ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],BI Offerings Solution Results ,[object Object],[object Object],[object Object],[object Object],Increase Revenue Case I:  Revenue Generation for a Major Wireless Company
Case I:  Growth Segmentation Analysis Framework Rate Plan -  Price Point 1 -10% +10% Unstable Trend Separates customers to limit “noise” in trend analysis H M L 1 2 3 Undefined/Error H1 H2 H3 M1 M2 M3 L1 L2 L3 6 month subscriber average of key charges.  Forecast change in revenue over 6 months based on a regression of monthly subscriber charges to smooth month to month variations Cut-offs chosen to show significant trends in the movement of revenue and to split the base roughly into three parts Cut-offs chosen to split the base into roughly three parts 1 2 3 4 5 The  Revenue Change matrix  is the tool we use to analyze the base Rate Plan -  Price Point 2 Identify & Profile segments Average Subscriber Charge Subscriber Charge Trend 6 Month
The wireless industry is exhibiting the telltale signs of a maturing and potentially unhealthy market. Note 1:  Includes Consumer Post-Paid, Business, Resellers and Pre-Paid Subscribers. Source:  CTIA, Morgan Stanley, Client estimates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The Bad News: Case Study II:  Insight Driven Customer Strategy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The Good News: Rev./User 1 $46 $45 Churn 2.6% 2.7% CPGA $286 $294 Min. of Usage 188 249 Revenue Cost Attrition Decreasing Customer Value $46 3.1% $340 343 Yield 2 $0.24 $0.18 $0.13 Annualized Subscriber Growth Annualized Growth Rate June 85 June 01 0% 50% 100% 150% 200% 250%
Case Study II:  Business Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],In this saturated market, the company was facing many key business questions that now can be answered with strong analytical support. Sales Customer Service Information Technology Supply Chain Alliances Product Development Network Customer Insight
The first step was to create a 360-degree view of the customer that incorporated factors from all key areas. Case Study II:  Approach Component of Segmentation Variable Category Charges from the billing system Minutes of use – used as a proxy for cost to serve Minutes of use Channel preferences ,[object Object],[object Object],[object Object],Plan  Sample of Fields ,[object Object],[object Object],[object Object],[object Object],[object Object],Profitability ~40 variables Behavior ~130 variables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Demographics ~400 variables Demographics ,[object Object],[object Object],[object Object],[object Object],[object Object],Lifestyle ,[object Object],[object Object],[object Object]
Case Study II:  Strategic Segmentation This analysis yielded five strategic segments and the decision was made to further analyze the cells below these for insights in many key decisions areas.   Sources: Customer Data Top Level Strategic Segments Population Multiple Seg C Segment D Seg B Seg A Seg E Value Factors Behavior Factors (Average)
Case Study II:  Market Research Results 1  Source:  Client Data.  Segments were at least 20% different from average  to exhibit listed behavior. 2  Source:  2001 Convergence Audit.  Segments were at least 20% more likely than average  to exhibit listed behavior. Using primary research already performed, we were able to determine key product areas for top segments. Segment More Likely to Have Less Likely to Have Product Features 1 Expressed Interested in the Following Data Products 2 A B C D E ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Case Study II:  Market Research Market Share Leader in Segment Note 1:  Includes carriers such as Nextel, Rural Cellular, US Cellular and respondents who did not indicate a carrier.  Note 2:  Adding values may not total exactly 100% due to rounding. Segment Company 1 Company 2 19% 22% 22% 21% Company 3 Company 4 Company 5 11% 12% 18% 17% 20% 14% 13% 16% 18% 16% 11% 14% 7% 10% 3% 3% 23% 17% 14% 7% 4% Others 1 Total 2 19% 23% 26% 21% 29% 100% 100% 100% 100% 100% A B C D E Company 6 6% 4% 7% 8% 7% Market Share By Segment Source:  2001 Convergence Audit.  Data is from response to question about, “who is your wireless carrier?”. Market versus Client comparison is made using Claritas data and should be used for relative comparison only.  Data does not exactly reflect Client’s  base. In highly competitive industry with high churn rates, it was critical to identify the addressable market in each area, and to find out where those customers were if they were not in our base.
What is Customer Insight? Customer Insight is a capability that requires the integration of business processes to drive actionable strategies and tactics. From our perspective, Customer Insight provides a holistic platform for the management, analysis, and application of information to drive business decisions across a corporation. Integrated View of the Customer Adaptive Campaign Management and Execution Intelligent, Insight Driven Interactions Gather & Manage Data Apply Insight Analyze Data/Draw Insight Profiling and Propensity Modeling Segmentation and Value Analysis Close the loop so customer responses are quickly incorporated into future analytics Customer Insight Customer Insight Framework Data Enrichment  and Refinement

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Mikaili Lilly

  • 1. Driving High Performance for a Large Wireless Communication Company Through Advanced Customer Insight Accenture Consulting – CRM Customer Insight Presenters: Ramin Mikaili and Lynette Lilly
  • 2. Why Customer Insight? In saturated competitive markets, the economics of acquisition and retention becomes painfully obvious and requires a shift in the marketing mix from using the 4 Ps to the 4 Rs. 1 1. James G. Barnes book "Secrets of Customer Relationship Management" McGraw Hill copyright 2000, page 22-23 4 Ps Price Product Promotion Place 4 Rs Relationships : effective communication, trust, commitment, understanding customer needs Retention : targeted incentives, rewards, loyalty programs for specific segments Referrals : value selling, Communication Recovery : strong win-back programs, product and service development Acquisition determines how fast a company can grow. Retention determines whether a company will survive over time.
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  • 6. Case I: Growth Segmentation Analysis Framework Rate Plan - Price Point 1 -10% +10% Unstable Trend Separates customers to limit “noise” in trend analysis H M L 1 2 3 Undefined/Error H1 H2 H3 M1 M2 M3 L1 L2 L3 6 month subscriber average of key charges. Forecast change in revenue over 6 months based on a regression of monthly subscriber charges to smooth month to month variations Cut-offs chosen to show significant trends in the movement of revenue and to split the base roughly into three parts Cut-offs chosen to split the base into roughly three parts 1 2 3 4 5 The Revenue Change matrix is the tool we use to analyze the base Rate Plan - Price Point 2 Identify & Profile segments Average Subscriber Charge Subscriber Charge Trend 6 Month
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  • 10. Case Study II: Strategic Segmentation This analysis yielded five strategic segments and the decision was made to further analyze the cells below these for insights in many key decisions areas. Sources: Customer Data Top Level Strategic Segments Population Multiple Seg C Segment D Seg B Seg A Seg E Value Factors Behavior Factors (Average)
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  • 12. Case Study II: Market Research Market Share Leader in Segment Note 1: Includes carriers such as Nextel, Rural Cellular, US Cellular and respondents who did not indicate a carrier. Note 2: Adding values may not total exactly 100% due to rounding. Segment Company 1 Company 2 19% 22% 22% 21% Company 3 Company 4 Company 5 11% 12% 18% 17% 20% 14% 13% 16% 18% 16% 11% 14% 7% 10% 3% 3% 23% 17% 14% 7% 4% Others 1 Total 2 19% 23% 26% 21% 29% 100% 100% 100% 100% 100% A B C D E Company 6 6% 4% 7% 8% 7% Market Share By Segment Source: 2001 Convergence Audit. Data is from response to question about, “who is your wireless carrier?”. Market versus Client comparison is made using Claritas data and should be used for relative comparison only. Data does not exactly reflect Client’s base. In highly competitive industry with high churn rates, it was critical to identify the addressable market in each area, and to find out where those customers were if they were not in our base.
  • 13. What is Customer Insight? Customer Insight is a capability that requires the integration of business processes to drive actionable strategies and tactics. From our perspective, Customer Insight provides a holistic platform for the management, analysis, and application of information to drive business decisions across a corporation. Integrated View of the Customer Adaptive Campaign Management and Execution Intelligent, Insight Driven Interactions Gather & Manage Data Apply Insight Analyze Data/Draw Insight Profiling and Propensity Modeling Segmentation and Value Analysis Close the loop so customer responses are quickly incorporated into future analytics Customer Insight Customer Insight Framework Data Enrichment and Refinement