customer value
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Transcript of customer value
Valuing Customers
SUNIL GUPTA, DONALD R. LEHMANN, and JENNIFER AMES STUART (2004)
Journal of Marketing Research 7 Vol. XLI (February 2004), 7–18
Modeling Customer Lifetime Value
GUPTA, SUNIL, BOMINIQUE M. HANSSENS, BRUCE HARDIE, WILLIAM KAHN, V. KUMAR, NATHANIEL LIN (2006)
Journal of Service Research, Volume 9, No. 2, November 2006 139-155
The Diffusion of Services
BARAK LIBAI, EITAN MULLER, and RENANA PERES (2009)
Journal of Marketing Research Vol. XLVI (April 2009), 163–175
Expanding the Role of Marketing: From Customer Equity to Market Capitalization
V. Kumar & Denish Shah (2009)
Journal of Marketing Vol. 73 (November 2009), 119–136
Linking Customer and Financial Metrics to Shareholder Value: The Leverage Effect in Customer- Based Valuation
Christian Schulze, Bernd Skiera, & Thorsten Wiesel
Journal of Marketing Volume 76 17 (March 2012), 17–32
List of Articles
Expanding the role of marketing and the marketer
Aligning the CMO’ s objectives with the CFO’s Agenda
Managing customers’ profit and cash flow risks
Sustainability of stock price gains
Applicability of framework
Efficient market theory
Investing in customers versus investing in brands
Mostly Used Terms
Margin (product’s selling price - cost of production)
Acquisition Cost (to convincing)Retention Cost (to keep)Cross selling/Expansion (Offer)Customers Dis-adoption/ Churn (Customer
leave )
Financial Value ------- Intangible AssetsCritical aspect of firm (Customer)Value of Customers = ∑ Discounted Future
Earnings
Better method for forecasting the future stream of income when it is not possible to make opinion about Negative earnings
Provide insights about marketing RetentionCustomer related expenses are Investments
Data:Capital One ----- Traditional FirmAmazon.com---- Internet CompaniesAmeritrade ----- Internet CompanieseBay ------------- Internet CompaniesE*Trade --------- Internet Companies
Quarterly data ( Annual Reports, 10K, 10Q)1996-97 to March 2002
Standard Financial Models (N/A) Negative Earnings
ATTRITION -------- Growth of Service Market
Attrition ------ Terminate Relationship
Lost of Good Migration Approach
Not expected to return May be return(Berger &Nasr 1998) (Rust, Lemon and Zeithaml
2004)
7 Firms from 4Services Areas;
Mobile Phone ------------------ SK Telecom Mobi Star
Online Brokerage -------------- E*TradeOnline Book Retailer ----------
Barnsamdnoble.com Amazon.com
Satellite Radio Provider ------- XM Satellite Radio
Sirus Satellite Radio
Finding:New adopter ---------- Outward streamCategory Level -------- Evolution of new services
Regaining customers
Competitive Level ---- Churn & disadoption Disaggregate data ---- CE Firm based data ------ CE
6 firms ------- CE ------ Stock market values (difference 18%)
Attrition ---------------- RoleAmazon ---------------- Overvalued(not fit)
2-Day discussions Thought Leadership ConferenceOrganized by: University of ConnecticutDiscussion Group: Mix of Academics &
Practitioners
Present value of all future profitsIndividual/Segment of CustomersHigh/Low Profitable CustomersPossibilities to defect a Competitor
Reinartz and Kumar 2003
RFM Models Direct Marketing programs To improve the response rate Past purchase behavior of customers Recency-------Frequency-------Monetary value
Probability Models Observed Behavior------Latent Behavioral
Characteristics(unobserved) To compute CLV---------Alive or Inactive YES------Non-Contractual setting----Passion Purchase-----Any
Time(Amazon) NO------ Non-Contractual setting----Fixed Transaction Time
(Conferences) NO------Contractual setting
Econometric Models Philosophy of Probability Model Customer Acquisition, Retention, Expansion (Cross Selling)Customer Acquisition First Time Purchase by NEW Customers Focus on the factors that INFLUENCE Logit/Probit Model
(Gensch 1984: Thomas 2004: Thomas, Blattberg and Fox 2004 Low Price ----------- INC. Acquisition (Thomas, Blattberg, Fox
2004) Price Discounts: (Anderson and Semester 2004) Promotions -------- INC. Acquisition ------ Long Term (Levis 2003) +ve impact --------- Long term Profitability ---- First time Buyer -ve impact --------- Long term Profitability ----- Established BuyersCustomer Retention Alive or Inactive (eBay) Hazard Model ------- Lost for Good Markov Model ------- Always a share 5% INC. in retention ----- INC. Profitability by 25% to 85%
(Reichheld and Sasser 1990)
Persistence Models Focus modeling behavior b/w Acquisition, retention, cross
selling Dynamic system
Computer Science ModelsBased Models Projection-Pursuit Model Neural Network Model Decision Tree Model Spline-Based Models: Generalized Additive Model (GAM) Multivariate Adaptive Regression Model (MARS) Clasification and regression Tree (CART) Support Vector Machines (SVM) Not known in marketing literature
Diffusion/Growth Models Used ------- Customer selection, Campaign Management,
Segmentation & Targeting Model ----- Disaggregated data Word of Mouth
1. Moving Beyond the Limits of Transaction Data2. Moving from a Customer to a Portfolio of Customers3. Reconciling Top-Down VS Bottom-up Measurements4. Cost Allocations5. Developing Incentive Scheme that encourage Globally
Optimal Behavior6. Understanding the Limits of CLV and CE7. Understanding the Scope of Application8. Appreciating the Limits of our Theory-Based Models9. Understanding How to Model Rare Events10. Recognizing the Danger of Endogeneity11. Accounting for Network Effects
What is Value the Customer/Customer Lifetime Value?Present value of all future profitHolistic approachCustomers different by their SegmentsHigh/Low Profitable customersCheck the Acquisition of the customersCalculate the value of Current & Future Customers
(CE)Monitor the Impact of Marketing StrategiesBusiness Sectors
Banking Sector Insurance CompaniesTelecommunication Online BusinessServices SectorFinancial Companies (Shareholders)