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Optimize Customer Relationships with Advanced Analytics

Learn about simplified Customer Lifetime Value, assumptions behind CLV, Margin Multiple, Kansai Case, Churn Rate/Retention Rate, and Data Mining/Customer Analytics. Dive into Contact Optimization, Channel Management, Channel Migration, and more with examples in Classification, Estimation, Regression, Prediction, and Clustering.

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Optimize Customer Relationships with Advanced Analytics

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  1. CRM: WEEK 11 (3/20-3/24) • Last Week Highlights: • Simplified Customer Lifetime Value • Assumptions behind CLV • Meaning of Margin Multiple • Kansai Case • Churn Rate/Retention Rate • Data Mining/Customer Analytics

  2. CRM: WEEK 11 (3/20-3/24) • Monday (3/20) Objectives: • Classification, Estimation, Regression, Prediction, & Clustering • Contact Optimization, Channel Management, Channel Migration, Segmentation Modeling, Channel Value Forecasting

  3. CRM: WEEK 11 (3/20-3/24) • Data • Validity/Reliability, data transformation, model selection…….. • Examples: • Classification • Estimation • Regression • Prediction • Clustering

  4. CRM: WEEK 11 (3/20-3/24) OPTIMIZING CUSTOMER RELATIONSHIPS WITH ADVANCED ANALYTICS: * Contact Optimization – Best Face Forward * Channel Management * Channel Migration * Channel Segmentation Modeling * Channel Value Forecasting

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