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Customer Relationship Management A Databased Approach V. Kumar Werner J. Reinartz Instructor’s Presentation Slides
Chapter Twelve  Applications of Database Marketing in B-to-C and B-to-B Scenarios
Topics Discussed ,[object Object],[object Object],[object Object],[object Object]
Study 1:The Life-time-Profitability Relationship in a Non-contractual Setting   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Study 1 (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Customer Lifetime and Firm Profitability: ,[object Object],[object Object],[object Object],Lifetime Profit   Low   High Lifetime revenue High  Low  Short  Long  Lifetime duration   Segment 2 Segment 3 Segment 4 Segment 1   Long Lifetime  Duration   Short
Customer Lifetime and Firm Profitability :  Proposition 2: Profits Increase over Time ,[object Object],[object Object],[object Object]
Customer Lifetime and Firm Profitability: ,[object Object],[object Object],Proposition 3: The Costs of Serving Longer-life Customers    are lower
Customer Lifetime and Firm Profitability: ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Research Methodology
Illustrative Lifetime Determination of  Individual Household   Source:  Reinartz W. And Kumar V., “On the Profitability of Long –life Customers in a Non-Contractual Setting: An empirical Investigation and Implications for Marketing
Measuring Customer Lifetime for  Non-Contractual Relationships (contd.) ,[object Object],[object Object],[object Object],[object Object],35 12 41.7 7.9 27.9 Cohort 2 36 11 41.1 7.8 28.7 Cohort 1 Maximum Minimum % Right- Censored Standard deviation Mean Lifetime (months)
Measuring Customer Lifetime for  Non-Contractual Relationships   (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Test of the Propositions ,[object Object],[object Object],[object Object]
Test of the Propositions (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tests of Propositions - Results  (Cohort 2 results in parentheses) High Lifetime Revenue Low Lifetime Revenue 63.54 (64.47) 0.065 (0.064) 11.67 (12.57) 257.96 (284.20) 783 (942) 47.97 (46.80) 0.141 (0.143) 2.41 (2.67) 50.49 (53.67) 1208 (1504) Average Item Price Mailing Cost/ Sales Ratio Relative Profit ($/month) Lifetime Profit per Customer ($) # of customers Av: Item Price Mailing Cost/ Sales Ratio Relative Profit ($/month) Lifetime Profit per Customer ($) # of  customers Short Life time Segment 3 Segment 4 58.43** (58.25)** 0.063* (0.062)* 8.18 (9.31) 289.83 (322.03) 1322 (1546) 47.74 (48.72) 0.128 (0.124) 1.43 (1.56) 50.85 (55.26) 889 (973) 5 ) Average  Item  Price 4)  Mailing Cost/ Sales Ratio 3) Relative Profit ($/month) 2) Lifetime Profit per Customer ($) 1)  # of  customers 5)  Av:  Item  Price 4) Mailing Cost/ Sales Ratio 3)  Relative Profit ($/month) 2)  Lifetime Profit per Customer ($) 1) # of customers  Long Life Time Segment 1 Segment 2
Interpretation of Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Interpretation of Results (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Aggregate Profits ($) for Short-life Segments
Aggregate Profits ($) for Long-life Segments
Regression Analysis of Profits as a Function of Time  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Regression Results for  t  = 1 to 36 Months (Cohort 1) Validation Results in Parentheses (Cohort 2) ,[object Object],[object Object]
Are the Costs of Serving Long-Life Customers Lower? ,[object Object],[object Object],[object Object]
Do Long-Life Customers Pay Higher Prices? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary of Findings ,[object Object],[object Object],[object Object],[object Object]
Study 2: A model for Incorporating Customers’ Projected Profitability into Lifetime Duration Computation   ,[object Object],[object Object],[object Object],[object Object]
Conceptual Model of Profitable Customer Lifetime Earlier Study B-to-C context only Present Study B-to-C  and  B-to-B contexts Profitable Lifetime Duration Exchange characteristics Observed heterogeneity Customer Profitability Lifetime Duration Non-contractual setting Revenues Cost
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Estimating Profitable Lifetime Duration
Antecedents of Profitable Lifetime Duration   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Research Methodology  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Cohort 1: 4202 observations Cohort 3: 2825 observations Cohort 2: 4965 observations Jan ‘95 Feb ‘95 Mar ‘95 Dec ‘97 Start Finish Database Structure for B-to-C Setting
Determining Profitable  Customer Lifetime Duration   ,[object Object],NPV of ECM it   =  where  ECM it   =  estimated expected contribution margin for a given month  t ,    AMCM it =  average contribution margin in month  t  based on all prior    purchases since birth (updated dynamically),    r   =  discount rate (15% on a yearly basis)   i   =  the customer t  =  month for which  NPV  is estimated   n  =  number of months beyond  t ,    P( Alive) in =  probability that customer  i  is alive in month  n .
Determining Profitable Customer Lifetime Duration (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analysis  ,[object Object],[object Object],[object Object],[object Object],h i (t) = h 0 (t) e x it   
Variables for Profitable Lifetime Model   (-)Inverse  U-shaped relationship for AIT and AIT 2 (Number of Days) 2 (Average Interpurchase Time it ) 2 (+) Inverse U-shaped relationship for AIT and AIT 2 Number of Days Average Interpurchase Time it Non-directional hypothesis Dummy:  1 = buys consistently in single  dept. only 0 = all other Focus of Buying i (+) Number of departments shopped in Cross Buying it + Monthly spending level ($), moving average over 6 month period Purchase amount  it ** Hypothesized Directional Impact on Profitable Lifetime Measured as  Independent Variables Months  Profitable Lifetime i * Measured as  Dependent Variable
Variables for Profitable Lifetime Model (contd.) No directional hypothesis Age of individual in years Age i (+) Scale from 1 to 9 where 1 is < $10,000 and 9 is > 150,000 Income i (-) Number of people in 2 digit zip code Population Density No  directional hypothesis 1 = more than 50 % of purchases in softgoods,  0 = more than 50 % of purchases in hardgoods Product Category i (+) Number of mailings sent in last 6 months (= 1 season) since current  t , exponential decay, one month lag Mailings it (+) Ownership of Charge card. Dummy variable,  1 = owns card, 0 = no card Loyalty Instrument i (-) Proportion of returns (of sales) Returns it
Analysis (contd.) ,[object Object],[object Object]
Summary of Results  Supported However, the relationship is negative, indicating that buying in only a single department results in shorter lifetime duration Supported However, the relationship is negative, indicating that buying in only a single department results in shorter lifetime duration Related to the Focused  Buying behavior exhibited by customers 2 b Partial Support Only the linear term is significant Supported Related to Average Interpurchase Time in an inverse U-shaped manner whereby intermediate AIT is associated with the longest profitable lifetime 3 Not Supported However, the interaction of Returns with Purchase amount variable is  significant Not Supported However, the interaction of Returns with Purchase amount variable is significant Inversely related to the proportion of merchandise returned by the customers. 4 Supported Supported Positively related to degree of cross-buying behavior exhibited by customers 2 a Supported Supported Positively related to the  customer’s spending level 1 B-to-B Setting Result B-to-C Setting  Result Description  Profitable Customer Lifetime Duration is:   Hypothesis
Summary of Results (contd.) Supported Supported Profitable Customer Lifetime Duration is positively related to the Income of the customer (B-to-C) or Income of the firm (B-to-B) 8 Not supported Supported Profitable Customer Lifetime Duration is higher for customers living in areas with lower population density (B-to-C) or businesses existing in lower population density (B-to-B) 7 Supported Supported Positively related to the number of mailing efforts of the company (B-to-C) or the number of contacts (B-to-B) 6 Supported Supported Positively related to the customer’s ownership of the company’s loyalty instrument (B-to-C) or the availability of line of credit (B-to-B) 5
Estimation of P (Alive) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Estimation of P (Alive) (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Study 3 – A Model for Identifying the  True Value of a Lost Customer   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Modeling the Effects of Disadoption on  the Value of a Lost Customer   ,[object Object],[object Object],[object Object],[object Object]
Modeling the Effects of Disadoption on  the Value of a Lost Customer (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Chapter 12: Applications of Database Marketing in B-to-C and B-to-B Scenarios

  • 1. Customer Relationship Management A Databased Approach V. Kumar Werner J. Reinartz Instructor’s Presentation Slides
  • 2. Chapter Twelve Applications of Database Marketing in B-to-C and B-to-B Scenarios
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. Illustrative Lifetime Determination of Individual Household Source: Reinartz W. And Kumar V., “On the Profitability of Long –life Customers in a Non-Contractual Setting: An empirical Investigation and Implications for Marketing
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. Tests of Propositions - Results (Cohort 2 results in parentheses) High Lifetime Revenue Low Lifetime Revenue 63.54 (64.47) 0.065 (0.064) 11.67 (12.57) 257.96 (284.20) 783 (942) 47.97 (46.80) 0.141 (0.143) 2.41 (2.67) 50.49 (53.67) 1208 (1504) Average Item Price Mailing Cost/ Sales Ratio Relative Profit ($/month) Lifetime Profit per Customer ($) # of customers Av: Item Price Mailing Cost/ Sales Ratio Relative Profit ($/month) Lifetime Profit per Customer ($) # of customers Short Life time Segment 3 Segment 4 58.43** (58.25)** 0.063* (0.062)* 8.18 (9.31) 289.83 (322.03) 1322 (1546) 47.74 (48.72) 0.128 (0.124) 1.43 (1.56) 50.85 (55.26) 889 (973) 5 ) Average Item Price 4) Mailing Cost/ Sales Ratio 3) Relative Profit ($/month) 2) Lifetime Profit per Customer ($) 1) # of customers 5) Av: Item Price 4) Mailing Cost/ Sales Ratio 3) Relative Profit ($/month) 2) Lifetime Profit per Customer ($) 1) # of customers Long Life Time Segment 1 Segment 2
  • 17.
  • 18.
  • 19. Aggregate Profits ($) for Short-life Segments
  • 20. Aggregate Profits ($) for Long-life Segments
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. Conceptual Model of Profitable Customer Lifetime Earlier Study B-to-C context only Present Study B-to-C and B-to-B contexts Profitable Lifetime Duration Exchange characteristics Observed heterogeneity Customer Profitability Lifetime Duration Non-contractual setting Revenues Cost
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33. Variables for Profitable Lifetime Model (-)Inverse U-shaped relationship for AIT and AIT 2 (Number of Days) 2 (Average Interpurchase Time it ) 2 (+) Inverse U-shaped relationship for AIT and AIT 2 Number of Days Average Interpurchase Time it Non-directional hypothesis Dummy: 1 = buys consistently in single dept. only 0 = all other Focus of Buying i (+) Number of departments shopped in Cross Buying it + Monthly spending level ($), moving average over 6 month period Purchase amount it ** Hypothesized Directional Impact on Profitable Lifetime Measured as Independent Variables Months Profitable Lifetime i * Measured as Dependent Variable
  • 34. Variables for Profitable Lifetime Model (contd.) No directional hypothesis Age of individual in years Age i (+) Scale from 1 to 9 where 1 is < $10,000 and 9 is > 150,000 Income i (-) Number of people in 2 digit zip code Population Density No directional hypothesis 1 = more than 50 % of purchases in softgoods, 0 = more than 50 % of purchases in hardgoods Product Category i (+) Number of mailings sent in last 6 months (= 1 season) since current t , exponential decay, one month lag Mailings it (+) Ownership of Charge card. Dummy variable, 1 = owns card, 0 = no card Loyalty Instrument i (-) Proportion of returns (of sales) Returns it
  • 35.
  • 36. Summary of Results Supported However, the relationship is negative, indicating that buying in only a single department results in shorter lifetime duration Supported However, the relationship is negative, indicating that buying in only a single department results in shorter lifetime duration Related to the Focused Buying behavior exhibited by customers 2 b Partial Support Only the linear term is significant Supported Related to Average Interpurchase Time in an inverse U-shaped manner whereby intermediate AIT is associated with the longest profitable lifetime 3 Not Supported However, the interaction of Returns with Purchase amount variable is significant Not Supported However, the interaction of Returns with Purchase amount variable is significant Inversely related to the proportion of merchandise returned by the customers. 4 Supported Supported Positively related to degree of cross-buying behavior exhibited by customers 2 a Supported Supported Positively related to the customer’s spending level 1 B-to-B Setting Result B-to-C Setting Result Description Profitable Customer Lifetime Duration is: Hypothesis
  • 37. Summary of Results (contd.) Supported Supported Profitable Customer Lifetime Duration is positively related to the Income of the customer (B-to-C) or Income of the firm (B-to-B) 8 Not supported Supported Profitable Customer Lifetime Duration is higher for customers living in areas with lower population density (B-to-C) or businesses existing in lower population density (B-to-B) 7 Supported Supported Positively related to the number of mailing efforts of the company (B-to-C) or the number of contacts (B-to-B) 6 Supported Supported Positively related to the customer’s ownership of the company’s loyalty instrument (B-to-C) or the availability of line of credit (B-to-B) 5
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.