structural models for customer behavior under nonlinear pricing schemes raghu iyengar columbia...
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Structural Models for Customer Behavior under Nonlinear
Pricing Schemes
Raghu IyengarColumbia University
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Scenario
Consider two wireless calling plans -
How do customers choose a plan and decide on usage?
Impact of access fee and marginal price on - Customer behavior Firm profitability
Plan Access Fee, Free Minutes
Marginal Price
A $30, 200 minutes
$0.40
B $40, 350 minutes
$0.35
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Pricing Scheme – Wireless Services
Cost
of
Con
sum
pti
on
Consumption
Included Minutes
F
qt2qt1
R2
p1 = 0
p2 > p1
underageoverage
If consumption is qt1 then total cost = F (access fee)
If consumption is qt2 then R2 = F + (qt2 – Incl. Min.) p2
Plan A
Access fee = $30
Free minutes = 200
Marginal price =$0.40
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Issues
Marginal price depends on consumption
Choice and consumption are related
Customers can defect
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Dissertation
Develop structural models for explaining: Choice of calling plans within a service
provider Consumption of minutes Defection decisions (churn)
Policy experiments (Firm decisions)
Myopic customers (Essay-1) Forward-looking customers (Essay-2)
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Presentation Outline
Past Research Structural model (Essay-1) Data description Null models / estimation results Policy experiments Essay-2 (brief description)
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Past Research
Marketing Subset of decisions Simpler pricing schemes – linear price,
two-part tariffs
Economics Labor supply Nonlinear income taxes
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Essay1 - Myopic Customers
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(beginning of month)
(during the month)Actual Usage
Anticipated Consumption
Plan Choice Defection
Modeling – Choice and Consumption Process
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Utility Specification
For customer i , plan j and decision time t :
x1ijt : Minutes consumed x2it : Outside good (numeraire) zijt, wijt : Vectors containing covariates (past usage) ij : Plan specific intercept ijt : Choice errors
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Utility Maximization – Budget Set
For customer i , plan j and time t :
F1
A1 B
p1
p2
C1 C2
Optimal Consumption
F2
A2 B
p1
p2C
1C2
Optimal Consumption
Plan1 Plan2
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Choice Decision
Value of a plan = Maximum utility that a consumer derives under that plan
Value = f (Optimal Consumption)
Customers choose plan with the highest value at the beginning of every time period
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Actual Consumption
Actual Consumption = Optimal Consumption + Error
If Aj < Optimal Qty. < B
Optimization errorOptimal Qty.
Actual Qty.
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Economic Restrictions
Slutsky restrictions
Ensures quasiconcavity of utility function
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Customer Heterogeneity
i – Set of all customer-specific parameters
Si contains demographics for customer i and are population-level parameters
Hierarchical Bayesian Model
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Data
Wireless Service Provider Monthly billing data : September,
2001- May, 2003 New customers : August, 2001-
December, 2001 300 customers 5151 observations – each a monthly bill Average 17 months per customer
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Data
Four calling plans 200, 300, 350 and 500 peak minutes Access Fee - $30, $35, $40, $50 Marginal Price - $0.40 per minute 70% of the data covered by these
four plan types
Summary statistics 98 people churn 5% observations have a plan change
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Variables
State dependence Effect of past choices on current decisions Dummy variable that captures past choice
Past usage variables
Promotional events Free roadside assistance, valentine’s day
promotion Dummy variable that captures a promotion
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Null Models
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Null Models
Biggest challenge – how to incorporate the entire pricing schedule
Two null models – they differ in how the expectation process is specified
Expected Consumption
Plan Choice Defection
Actual Usage
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Null Models
Null Model - 1 Previous month’s usage as the expected
consumption
Null Model – 2 Expectation formation uses covariates
Both models incorporate customer heterogeneity
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Model Comparison
Structural model is overwhelmingly supported by the data (Kass and Raftery, 1995)
Models Log-Marginal Log-BFNull Model-1 -9169.42Null Model-2 -9156.49 12.93Structural Model -8962.92 193.57
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Estimates – Structural Model
The subscripts z and w refer to the covariates in the vector zijt and wijt respectively
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Estimates – Structural Model
Overage variables Negative effect on choice and
consumption Upgrade plans or lower usage
Underage variables Negative effect on utility of plans Positive effect on consumption Downgrade plans or increase usage
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Managerial Questions
How do the different components of the pricing scheme affect customers’ decisions?
What is the relationship between pricing, customer responses and customer lifetime value?
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Policy Experiments
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Policy Experiments
Access price / marginal price
Price increase / price decrease
Temporary / permanent
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Policy Experiments – Marginal Price Change
Plan 3 – Price Increase
Plan 3 – Price Decrease
Effect of 25% Permanent Change in Marginal Price for Plan 3
Time varying elasticity Adjacent plan effect Asymmetric price effect
Plan
1 2 3 4200 300 350 500Minut
es
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Policy Experiments – Marginal Price Change
Effect of 25% Temporary Change in Marginal Price for Plan 3
Ripple effect
Plan 3 – Price Increase
Plan 3 – Price Decrease
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Policy Experiments – Customer Value
Access price effect is higher than marginal price for most cases
Highest effect of access price on “low usage” users on Plan 1
Highest effect of marginal price on “high usage” users on Plan 4
5% Decrease in the plan prices
300
350
500
200
Minutes$35
$40
$50
$30
Access Fee
2 3 41Plan
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Conclusions
Developed a structural model Adaptable to other service contexts
Used policy experiments for gauging the effect of changes in pricing schemes on Customer behavior Firm profitability
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Essay-2 : Learning Models
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Essay-2 : Learning Models
Myopic learning model Consumers are uncertain about
actual usage while choosing plans
They have prior beliefs about the distribution of actual usage
They observe their actual usage and update (learn) their beliefs
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Essay-2 : Myopic Learning Model
;
Belief specification
0.2 0.4 0.6 0.8 1
2
4
6
8
0.2 0.4 0.6 0.8 1
1
2
3
4
Usage
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Essay-2 : Forward-Looking Model Assumptions
Mental hassle costs associated with plan changes
Customer and plan-specific variance
Customers’ beliefs Priors on the different variances Usage on a plan leads to an update of
the belief parameters associated with only that plan
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Essay-2 : Forward-Looking Model Tradeoff
Stick with a plan : get more precise information about the variance associated with only that plan
Change plans : improve the knowledge of the variance under the chosen plan but pay mental hassle costs of switching
Dynamic Programming
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Extensions
Competition
Rollover and other features
Roaming, long distance and other types of minutes