pricing analytics: segmenting customers to maximize revenue

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PRICING ANALYTICS Segmenting Customers to Maximize Revenue

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Page 1: Pricing Analytics: Segmenting Customers To Maximize Revenue

PRICING ANALYTICS Segmenting Customers to Maximize Revenue

Page 2: Pricing Analytics: Segmenting Customers To Maximize Revenue

Customer Segmentation • Customers can be segmented into value groups in some

markets • High valuation groups are willing to pay more for a product or service

• Low valuation groups are only willing to spend less for the same product or service

Page 3: Pricing Analytics: Segmenting Customers To Maximize Revenue

Airline Customer Segmentation • Older method used Saturday night stay to separate leisure and

business passengers

• Modern methods use advance purchase time as a primary discriminator

• The later a passenger purchases a ticket, the more they’re willing to pay

Page 4: Pricing Analytics: Segmenting Customers To Maximize Revenue

Example: Malaysia Airlines Flight 19 • Maximize revenue on MH Flight 19 (Amsterdam to Kuala

Lumpur)

• Surveyed 2% of market (10 people) on their valuation of flight

$463 $732

$569 $701

$457 $746

$719 $607

$758 $685

Page 5: Pricing Analytics: Segmenting Customers To Maximize Revenue

Example: Malaysia Airlines Flight 19 • Valuations effectively the same as points on the demand curve

• Calculate demand by finding number of people who would buy tickets at each price point

$463 $732

$569 $701

$457 $746

$719 $607

$758 $685

$463 $732

$569 $701

$457 $746

$719 $607

$758 $685

Page 6: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter fare valuations from passenger survey

Page 7: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter demand summing formula: =COUNTIF($C$2:$C:$11,“>=”&C2)

Accept formula

Page 8: Pricing Analytics: Segmenting Customers To Maximize Revenue

Select handle at bottom right of formula cell, then drag down

Page 9: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter market adjustment formula: =A2*50

Accept formula

Page 10: Pricing Analytics: Segmenting Customers To Maximize Revenue

Select handle at bottom right of formula cell, then drag down

Page 11: Pricing Analytics: Segmenting Customers To Maximize Revenue

Select cells containing demand and price data

Page 12: Pricing Analytics: Segmenting Customers To Maximize Revenue

Choose “Scatter With Only Markers”

Page 13: Pricing Analytics: Segmenting Customers To Maximize Revenue

d = a - bp

Right-click one of the data points

Choose “Add Trendline…”

Page 14: Pricing Analytics: Segmenting Customers To Maximize Revenue

Select “Linear”

Check “Display Equation on Chart”

Click “Close”

Page 15: Pricing Analytics: Segmenting Customers To Maximize Revenue

a b

d = 838.9 – 0.7p

Page 16: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter guess for optimal single price

Page 17: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter demand curve formula: =838.9-0.7*E14

Accept formula

Page 18: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter total revenue formula: =E15*E14

Accept formula

Page 19: Pricing Analytics: Segmenting Customers To Maximize Revenue

Launch Excel’s Solver tool

Page 20: Pricing Analytics: Segmenting Customers To Maximize Revenue

Maximize

Revenue

Ticket Price

Choose GRG Nonlinear solving method

Click “Solve”

Page 21: Pricing Analytics: Segmenting Customers To Maximize Revenue

Click “OK”

Page 22: Pricing Analytics: Segmenting Customers To Maximize Revenue

Optimized ticket price: $599

Optimized revenue: $251,340

Page 23: Pricing Analytics: Segmenting Customers To Maximize Revenue

Yield Management • Goal: charge a set of customers more for the same product to

increase revenue

• Ideal (from the airline’s perspective): charge rich people and desperate people more money

• Doing that’s illegal (at least in US and EU) – discrimination

• Legal method: yield management

Page 24: Pricing Analytics: Segmenting Customers To Maximize Revenue

Yield Management • We need to find some variable that strongly correlates to how

much a customer is willing to pay

• Airline example: how early a passenger buys a ticket before a flight • Low-valuation customers (tourists, students, bargain hunters) buy tickets

long before a flight

• High-value customers (business travel, emergencies, HBS alumni) buy tickets last-minute

Page 25: Pricing Analytics: Segmenting Customers To Maximize Revenue

Modeling Yield Management • Incorporate two price points into our existing single-price

model

• High-value customer demand formula (same as single price):

High Value Demand = 838.9 – 0.7 x High Price

• Low-value customer demand formula:

Low Value Demand = (838.9 – 0.7 x Low Price) -

High Value Demand

Page 26: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter guess for low price point

Enter guess for high price point

Page 27: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter low price demand formula: =(838.9-0.7*B1)-B5

Accept formula

Page 28: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter high price demand formula: =838.9-0.7*B2

Accept formula

Page 29: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter low price revenue formula: =B4*B1

Accept formula

Page 30: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter high price revenue formula: =B5*B2

Accept formula

Page 31: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter revenue summing formula: =SUM(B7:B8)

Accept formula

Page 32: Pricing Analytics: Segmenting Customers To Maximize Revenue

Launch Excel’s Solver tool

Page 33: Pricing Analytics: Segmenting Customers To Maximize Revenue

Maximize

Total Revenue

Ticket Prices

Choose GRG Nonlinear solving method

Click “Solve”

Page 34: Pricing Analytics: Segmenting Customers To Maximize Revenue

Click “OK”

Page 35: Pricing Analytics: Segmenting Customers To Maximize Revenue

Optimized ticket price for low-value passengers: $399

Optimized revenue: $335,121

Optimized ticket price for high-value passengers: $799

33%

Increase

Page 36: Pricing Analytics: Segmenting Customers To Maximize Revenue

Capacity Constraints • Current model assumes an unlimited number of

seats on airplane

• Need to add a capacity constraint to accurately model pricing

• Aircraft (Boeing 777) holds 341 passengers

Page 37: Pricing Analytics: Segmenting Customers To Maximize Revenue

Enter total # passengers formula: =B4+B5

Accept formula

Page 38: Pricing Analytics: Segmenting Customers To Maximize Revenue

Restart Excel’s Solver tool

Page 39: Pricing Analytics: Segmenting Customers To Maximize Revenue

Click Add button

Page 40: Pricing Analytics: Segmenting Customers To Maximize Revenue

Total passengers

Less than/equal to

Aircraft capacity: 341

Click OK

Page 41: Pricing Analytics: Segmenting Customers To Maximize Revenue

Click Solve button

Page 42: Pricing Analytics: Segmenting Customers To Maximize Revenue

Click OK button

Page 43: Pricing Analytics: Segmenting Customers To Maximize Revenue

Optimized ticket price for low-value passengers: $711

Optimized ticket price for high-value passengers: $955

Page 44: Pricing Analytics: Segmenting Customers To Maximize Revenue