Customer Valuation: From RFM Scoring to Lifetime Value
Progress from simple descriptive metrics through RFM scoring to full CLV modeling. Learn when each approach is 'good enough' and when to upgrade — using real tools at every step.
Chapter Section Outline (11 Sections)
Topics and managerial frameworks covered in Customer Valuation: From RFM Scoring to Lifetime Value:
- 1. Why Customer Valuation Matters
- 2. The Rearview Mirror — Descriptive Customer Metrics
- 3. RFM Scoring — The Practitioner's Shortcut
- 4. Strengths and Limits of RFM
- 5. From Scoring to Predicting — RFM Meets Logistic Regression
- 6. Predicting Who Stays — Retention Modeling
- 7. Predicting What They'll Spend — Conditional Revenue
- 8. Putting It Together — Full CLV Modeling
- 9. From Numbers to Decisions
- 10. Customer Valuation in the Age of AI
- 11. Case Application — WagWell Subscription CLV Audit
Interactive Concept Mini-Widgets Embedded in This Chapter (2)
Students manipulate these interactive visual simulations directly inside the chapter reading before answering gated check-in questions:
See How Retention Compounds Into Value
A single slider for retention rate (70%–99%) with a real-time CLV bar chart showing how small retention improvements create outsized value gains. Students adjust the slider and watch CLV change non-linearly — the "retention = compound interest of customer v...
CLV Lever Explorer: What Moves the Needle?
Four sliders (retention %, spend/period, margin %, discount rate) over a fixed 10-period horizon. Real-time CLV with a period-by-period bar chart (P1 to P10) and a computed check of which lever moves CLV most.
Paired Browser-Based Analytics Calculators (6)
This chapter connects directly to these full MktPraxis analytical apps (with pre-loaded business case scenarios, CSV upload, and reproducible Python export):
📊 Univariate Analyzer
Explore a single variable's distribution, outliers, and summary stats. Always start here.
Pre-loaded Business Scenarios: Influencer Campaign Performance Analysis · Customer Satisfaction Survey Analysis · E-commerce Transaction Analysis · Email Marketing Campaign Analysis · Customer Lifetime Value Analysis · Social Media Post Analytics · A/B Test Results — Messy Data Challenge! · PetPost Subscriber Health Analysis
📦 Categorization Studio
Transform continuous data into meaningful categories using binning. See how the same data tells different stories.
Pre-loaded Business Scenarios: Quarterly Campaign Performance Review · Loyalty Program Tier Design · App Re-engagement Campaign Targeting · Customer Segmentation for Targeted Nurture
👥 K-Means Clustering
Segment customers into distinct groups based on behavior.
Pre-loaded Business Scenarios: Customer RFM Segmentation · Email Campaign Performance · Product Portfolio Positioning · Snackbar Attitudes & Preferences · Marlowe Riptide — Who Are Our Fans, Really?
🎯 Logistic Regression
Predict binary outcomes like Churn vs. Retain.
Pre-loaded Business Scenarios: Influencer Posts: What Makes a Story Drive a Sale? · B2B Email Sequences: Predicting Demo Bookings · Digital Promo A/B Test: High Incentive vs Standard Offer · Subscription Churn: Predicting Customer Attrition · Event Marketing: Predicting Registration Conversion · RFM-Based Purchase Prediction: Who Buys Next? · SignalPath MarTech: Which Leads Actually Close? · Will They Come Back? Predicting Season-Membership Renewal
📉 Bivariate Regression (Simple)
Predict an outcome using one variable (e.g., Spend → Sales).
Pre-loaded Business Scenarios: Paid Social Spend vs. Weekly Revenue · Email Creative Themes vs. Average Order Value · Likert Reaction vs. Brand Favorability · D&D Character Level vs. Gold Earned
💎 Customer Lifetime Value (CLV) Modeling
Model customer retention and conditional spend to forecast CLV by segment. Identify high-value at-risk customers, evaluate marketing levers, and benchmark acquisition spend via CLV/CAC analysis.