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Two Sides of Customer Value:

Economic Value to the Customer

(EVC)

and

Life Time Value of a Customer (LTV)

Session 4

Marketing Management

Prof. Natalie Mizik
Marketing Management:

The Big Picture

I. Situation
Analysis
(5Cs)
II. Set Strategy SE
(STP)
III. Formulate
Marketing
Programs
(4Ps)
COMPETITION
COMPANY CONTEXT
COLLABORATORS
GMENTATION TARGETING POSITIONING
ACQUISITION-
RETENTION
PLACE
PRODUCT PRICE PROMOTION
CUSTOMERS
Prof. Natalie Mizik – 2010 MIT 15.810
Sources of Customer Value

Psychological
Psychological
Economic Functional

Prof. Natalie Mizik – 2010 MIT 15.810
1. Economic Value to
Customers
	 EVC is the total (life-cycle) cost savings from using a
new product in place of a current product.
	 EVC = (Total ownership cost of existing product) 

– (Total ownership cost of new product)
	 Maximum Willingness to Pay = Total
lifecycle savings from new product compared 

with old product
Prof. Natalie Mizik – 2010 MIT 15.810
$1,000
$0
$500
Maximum value
(at a zero price)
Economic value
of $125
Total
cost
of
purchase
$375 Price
$100 Installation
$400 Usage and
maintenance
$300 Price
$200 Installation
$500 Usage and
maintenance
$400 Usage and
maintenance
$100 Installation
Benchmark Value drivers of Economic value
comparison new solution and price position
Example: New Telecom

Switch

Image by MIT OpenCourseWare.
Prof. Natalie Mizik – 2010 MIT 15.810
Price paid
Acquisition costs
Usage costs
Maintenance costs
Ownership costs
Disposal costs
Total
cost
of
purchase
Amazon.com lower purchase price with the on-line purchase of
books.
American Hospital Supply reduces a hospital's cost with a
computerized customer order program.
Sealed Air reduces labor cost in packaging with AirCap.
Saturn lowers the cost of repair and insurance through module
product design.
GE Capital works with customers to create affordable
ownership.
Rohm-Haas's Kathon MWX cuts cost of disposal of
machine fluid waste in half.
Sources of EVC

Image by MIT OpenCourseWare.
Prof. Natalie Mizik – 2010 MIT 15.810
Example
	 Lasik
	 The Canon and Lexmark printers are the
cheapest, or are they?
Commons license. For more information, see http://ocw.mit.edu/fairuse.
Prof. Natalie Mizik – 2010 MIT 15.810
© source unknown. All rights reserved. This content is excluded from our Creative
	 A new synthetic motor oil is about to be
introduced with the primary benefit that it needs
to be changed less frequently, specifically once
every year regardless of the mileage. Assuming
current oils need to be changed every 3,000
miles at a cost of $30 per change (oil at a dollar
a quart or a total of $5 per car, labor $20,
disposal of oil $5) for an average car. What is
the EVC of the new oil to a car driver who drives
15,000 miles per year?
Example

Prof. Natalie Mizik – 2010 MIT 15.810
New
Product
Old Product
Low Mileage
(3,000)
Average
Mileage
(15,000)
High Mileage
(45,000)
Product Price ??? 1 x 5 = 5 25 15x 5 = 75
Labor Costs 20 1 x 20 = 20 100 15 x 20 = 300
Other Costs
(disposal fee)
5 1x 5 = 5 25 15 x 5 = 75
TOTAL COST 25 + price 30 150 450
EVC 5 125 425
EVC/Quart 1 25 85
EVC by Customer

Prof. Natalie Mizik – 2010 MIT 15.810
Issues in Using EVC
 Customer differences
 High vs. low mileage drivers.
 Convincing customers
 Other (fuzzy) benefits ignored
 BUT, EVC can be useful in
 Pricing
 Segmentation
 New product introduction
Prof. Natalie Mizik – 2010 MIT 15.810
What is Customer Lifetime

Value (CLV aka LTV)?

• Customer Lifetime Value
is the net present value of all
future streams of profits that a
customer generates over the life
of his/her business with the firm
Prof. Natalie Mizik – 2010 MIT 15.810
Creating or Destroying

Value?

“In the United States, top executives
lose their jobs when their companies
sell too little. In Britain, it can happen
when their companies sell too much.”
—The New York Times, March 31, 1993

Prof. Natalie Mizik – 2010 MIT 15.810
The Two Sides of Customer



Value

Appropriating
Value
High
Value
of
Customers
Low X
Vulnerable
Customers
Lost
Cause
Star
Customers
Free Riders
Low High
Value to Customers
Creating Value

Prof. Natalie Mizik – 2010 MIT 15.810
Value of Tennis Club

Member

You own a tennis club where the annual membership
fee is $300. The average club member spends about
$100 dollars a year at the club (in balls, drinks, snacks,
etc.). The annual cost of these miscellaneous goods
(the balls, drinks, snacks, etc.) to you is $40 per
player. On average people who join a tennis club have
a playing career of 7 years. Historically, 65% of the
members in a given year rejoin the following year.
Investing capital at the going rate would earn a return
of 8% a year. Based on this information, what is the
long-term value of a customer?
Prof. Natalie Mizik – 2010 MIT 15.810
Annual profit
Retention
Probability
Expected
profit
Discount
factor
Expected
discounted
profit
Assumptions Constant r = .65 d = .08
Year (A) (B) (C) (D) = (B) x (C) (E) (F) = (D) x (E)
0 360 1.00 360.00 1.00 360.00
1 360 0.65 234.00 0.93 216.67
2 360 0.42 152.10 0.86 130.40
3 360 0.27 98.87 0.79 78.48
4 360 0.18 64.26 0.74 47.23
5 360 0.12 41.77 0.68 28.43
6 360 0.08 27.15 0.63 17.11
LTV = 878.32

LTV Calculations

Prof. Natalie Mizik – 2010 MIT 15.810
150
667075
86929699
105

100

Annual
Prof
42

50

0

0 1 2 3 4 5 6 7 8 9
-50 -40
Customer T
enure
120
100
100
82
76
80 70
66
Accounts
Remain
60

56

60

47
40
34
40

20
0
0 1 2 3 4 5 6 7 8 9
Customer T
enure
($42)*(.82) ($66)*(.76) (m)(r) (m)(r2
)
CLV   ...
  .... AC

(1 0.1) (1 0.1)2
(1 i) (1 i)2
17
17
Prof. Natalie Mizik – 2010 MIT 15.810
Profit and Defection Patterns
Credit Card Industry
Profit Pattern
DefectionPattern
Measuring Customer Value
 Lifetime value of a customer assuming
infinite horizon:
LV  m


r 
  AC
1 i  r 
m = margin
i = discount rate
r = retention rate
AC = acquisition cost
Prof. Natalie Mizik – 2010 MIT 15.810
18
18
Economics of Customer

Acquisition for FedEx

 140 accounts in advertising industry use
2,285 Courier Paks (CP) per month
 CP price is $12.50 and variable cost is
$4.25
 Retention rate = 0.9, discount rate = 12%

 What is the maximum FedEx should be
willing to spend to acquire a new account
in this industry?
Prof. Natalie Mizik – 2010 MIT 15.810
Retention Discount Rate
Rate 10% 12% 14% 16%
60% 1.20 1.15 1.11 1.07
70% 1.75 1.67 1.59 1.52
80% 2.67 2.50 2.35 2.22
90% 4.50 4.09 3.75 3.46
Margin Multiple

Constant Margins

r

1 i  r

Prof. Natalie Mizik – 2010 MIT 15.810
Retention Growth Rate
Rate 0% 2% 4% 6% 8%
60% 1.15 1.18 1.21 1.24 1.27
70% 1.67 1.72 1.79 1.85 1.92
80% 2.50 2.63 2.78 2.94 3.13
90% 4.09 4.46 4.89 5.42 6.08
Margin Multiple

Growth in Margins

r

1 i  r(1 g)

Prof. Natalie Mizik – 2010 MIT 15.810
Increasing Customer

Equity:

Three strategies:
I. Customer acquisition (gain new customers)

II. Customer expansion

 r 
LV  m   AC
1 i  r 
III. Customer retention

Prof. Natalie Mizik – 2010 MIT 15.810
CUSTOMER
ACQUISITION
CUSTOMER
RETENTION
CUSTOMER
EXPANSION
CUSTOMER
PROFITABILITY
FIRM VALUE

Drivers of CLV

Financial
Value
Customer
Equity
PROFITS &
CASH FLOW
Drivers of
Customer
Value
Prof. Natalie Mizik – 2010 MIT 15.810
I. Customer Acquisition

Strategies

 Marketing E*Trade
 Affiliations amazon.com
 Merges and Acquisitions AT&T
Prof. Natalie Mizik – 2010 MIT 15.810
Customer Acquisition Costs

by Marketing Activity

Source: Customer acquisition cost--a key marketing metric. Justin Zohn. NPN, Nationa
Petroleum News, April 2003.
Prof. Natalie Mizik – 2010 MIT 15.810
l
Mergers & Acquisitions in the

Wireless Industry (1999-2000)

Mergers & Acquisitions in the Wireless Industry (1999-2000)
$4,110
$6,741 $7,462 $8,306 $8,550
$21,639
$-
$5,000
$10,000
$15,000
$20,000
$25,000
V
o
d
a
f
o
n
e
-
A
i
r
t
o
u
c
h
F
r
a
n
c
e
T
e
l
e
c
o
m
-
O
r
a
n
g
e
V
o
i
c
e
s
t
r
e
a
m
-
O
m
n
i
p
o
i
n
t
V
o
i
c
e
s
t
r
e
a
m
-
A
e
r
i
a
l
M
a
n
n
e
s
m
a
n
n
-
O
r
a
n
g
e
D
u
e
s
t
c
h
e
T
e
l
e
k
o
m
-
V
o
i
c
e
s
t
r
e
a
m
Cost
Per
Subscriber
($)
Source: Based on data from The Industry Standard, Aug 7, 2000 and Business Week, August 7, 2000
10
10
All Customers are Important, but…

Cumulative Profits
0
50
100
150
200
250
0 1 5 10 15 20 30 40 50 60 70 80 90 95 99 100
Cumulative % of Customers
Profits:
%
of
Total
…some are More Important than Others

Customer Profitability
500
400
Profit
(SEK)
300
200
100
0
-100
-200
1
2
5
10
20
40
60
80
100
120
140
160
180
190
195
198
199
200
Customer Number
Source: Kanthal (A), HBS Case 9-190-002
Kanthal is a Swedish B2B selling hearing wires
Prof. Natalie Mizik – 2010 MIT 15.810
Mergers & Acquisitions in the

Wireless Industry (1999-2000)

Mergers & Acquisitions in the Wireless Industry (1999-2000)
$4,110
$6,741 $7,462 $8,306 $8,550
$21,639
$-
$5,000
$10,000
$15,000
$20,000
$25,000
V
o
d
a
f
o
n
e
-
A
i
r
t
o
u
c
h
F
r
a
n
c
e
T
e
l
e
c
o
m
-
O
r
a
n
g
e
V
o
i
c
e
s
t
r
e
a
m
-
O
m
n
i
p
o
i
n
t
V
o
i
c
e
s
t
r
e
a
m
-
A
e
r
i
a
l
M
a
n
n
e
s
m
a
n
n
-
O
r
a
n
g
e
D
u
e
s
t
c
h
e
T
e
l
e
k
o
m
-
V
o
i
c
e
s
t
r
e
a
m
Cost
Per
Subscriber
($)
Source: Based on data from The Industry Standard, Aug 7, 2000 and Business Week, August 7, 2000
Prof. Natalie Mizik – 2010 MIT 15.810
d
v
e
r
t
i
s
i
n
g
A
g
e
n
c
y
A
u
t
o
/
H
o
m
e
I
n
s
u
r
a
n
c
e
A
u
t
o
S
e
r
v
i
c
e
B
r
a
n
c
h
B
a
n
k
D
e
p
o
s
i
t
C
r
e
d
i
t
C
a
r
d
I
n
d
u
s
t
r
i
a
l
B
r
o
k
e
r
a
g
e
I
n
d
u
s
t
r
i
a
l
D
i
s
t
r
i
b
u
t
i
o
n
I
n
d
u
s
t
r
i
a
l
L
a
u
n
d
r
y
L
i
f
e
I
n
s
u
r
a
n
c
e
f
f
i
c
e
B
u
i
l
d
i
n
g
M
a
n
a
g
e
m
e
n
P
u
b
l
i
s
h
i
n
g
S
o
f
t
w
a
r
e
100 95 90

84 81
85
 85
75
80

60

50
45 45
40
35
40
20
0
A
O
Customer Retention
Profit Impact of 5% Increase in
t
Customer Retention
Increase
in
Customer
Net
Presen


Source: Reichheld and Sasser (1990), “Zero Defections:
Quality Comes to Service,” HBR, Sep-Oct. Industry

Prof. Natalie Mizik – 2010 MIT 15.810
29
29
80
60
40
Profit per
20
customer
0
0 1 2 3 4 5 6 7
-20
-40 Acquisition	
cost
-60
Customer Retention

(why think long term?)

Impact on Profit
	 Profit from price
premium
Profit from
referrals
Profit from
reduced cost
Profit from
increased
purchases
Base profit
	



Years
Source: Reichheld and Sasser (1990), “Zero Defections: Quality Comes to Service,” HBR, Sep-Oct.
Prof. Natalie Mizik – 2010 MIT 15.810
30
30
Under-investing in Retention

Prof. Natalie Mizik – 2010 MIT 15.810
© BtoB Magazine. All rights reserved. This content is excluded from our Creative
Commons license. For more information, see http://ocw.mit.edu/fairuse.
CUSTOMER RETENTION & LOYALTY

Experience
 Loyalty Programs
 Cross-selling

…

What Drives Retention and Loyalty?

Whiskey Blue Destination Bars

Whatever/Whenever Service

“Business travelers with a sense
of style can't get enough of the
W Hotel chain”
- Entrepreneur Magazine
Prof. Natalie Mizik – 2010 MIT 15.810
III. Customer Expansion:

Strategies to Increase Margin

 Pricing
 Share of Wallet
 Redefining your
business
 Cross-Selling
Prof. Natalie Mizik – 2010 MIT 15.810
Impact of Cross-Selling at

Cox

Average Monthly Customer Churn
3.0%
2.3% 2.2%
1.9%
1.4%
Video Only Video + Internet Video + Phone Internet +Phone Video +Internet +
Phone
Source : www.cox.com
Prof. Natalie Mizik – 2010 MIT 15.810
Easier Said Than Done

AOL’s Vision or Pipe Dream?

Monthly
$159 Revenue
$24
$30
$20
$15
$30
$20
$20
$24.37
(includes
advertising)
Monthly
Revenue
Average revenue
per user
AOL
subscription
Broadband
access
Family
plan
(multiple devices on
one subscription)
Music
Mobile
services
Voice services
Games &
entertainment
Now Projected
Source: Fortune, Feb 4, 2002
Prof. Natalie Mizik – 2010 MIT 15.810
Retention

Rate

Margin
Discount
Rate
Acquisition

Cost

4.9
1.1
0.9
0.1
0 2 4 6
What Drives Firm Value?

… creates % improvement in 

1% improvement in ... firm value of

February, 7-18.
Gupta, Sunil, Donald R. Lehmann, and Jennifer Stuart (2004), “Valuing Customers,” Journal of Marketing Research,
Prof. Natalie Mizik – 2010 MIT 15.810
9.9 equivalent to:
ue
6.9
•8.9% growth in reven
3.1

3.0
0.5
•$1.5 billion growth in EBITDA
•4.5% growth in EBITDA margin
23.4
ource: The McKinsey Quarterly, 2003, Number 4.
Huge Earnings Potential

Expected increase in earnings before interest, taxes, depreciation, 

and amortization (EBITDA) for typical US wireless carrier, percent

Implementing customer lifetime
management can lead to increase
Reduce churn
Increase average
revenue per user
Reduce cost to
serve customer2
Reduce cost to
add new customer3
Reduce cost to
bad debt
Total increase
Prof. Natalie Mizik – 2010 MIT 15.810
S
© BtoB Magazine. All rights reserved. This content is excluded from our Creative
Commons license. For more information, see http://ocw.mit.edu/fairuse.
Conclusion
 Customers are assets
 Lifetime value of a customer can be
approximated as
  r
 
LV

m

 
AC



1ir


 Three key levers of growth
 customer acquisition (AC)
 customer retention (r)
 customer expansion (m)
 “Success is getting the right
customers … and keeping them.”
Prof. Natalie Mizik – 2010 MIT 15.810
Charles Cawley, Founder MBNA 38
38
. . . . . .

n0 
t0
n 
1

(1 i) t1
mt rt
(1 i)t
 n0c0

n1
mt1rt1
t1
 n1c1
t1 (1 i)
m t1
t1r n
 1c1
(1 i)t1
(1 i)
Prof. Natalie Mizik – 2010 MIT 15.810
Appendix:

Modeling Customer Value

Time 0 n0
1 n0r n1
2 n0r2 n1r n2
3 n r3 2
0 n1r n2r n3
4 n 3
0r4 n 2
1r n2r n3r n4
Value of Customer Base
 In discrete time
  tk 
Value  
nk

mtk r
 
nkck
k
k0 (1 i) tk (1 i)tk
k0 (1 i)k
 In continuous time
  1ir 
  
 
tk 
Value  n m eik
e  r 
k tk dtdk  nkckeik
dk
k0 tk k0
Gupta, Sunil, Donald R. Lehmann, and Jennifer Stuart (2004), “Valuing Customers,” Journal of Marketing Research,
February, 7-18.
Prof. Natalie Mizik – 2010 MIT 15.810
If you enjoyed Behavioral Econ Lecture last week

this mktg elective is for YOU:

Consumer Behavior

Time is
running 15.847

out! Professor Joshua Ackerman
Act
NOW!
How do we know what to buy? What information captures our attention? When
are we most susceptible to being persuaded? What shapes our decisions?
This class will help you develop a basic understanding of cognition and
decision making as they apply to marketing contexts, and become familiar
with the major research methods for analyzing consumer behavior
Topics include:
Influence techniques, Self‐control, Behavioral decision theory, Nonconscious
processing, Cognitive biases, Social consumption
Prof. Natalie Mizik – 2010 MIT 15.810
If you enjoyed LTV Lecture today

this mktg elective is for YOU:

15.840: Customer Analytics Using Probability Models
 Professor Michael Braun.
 Most of what drives customer behavior is unobservable
 Still, there are regular patterns in activity that managers can exploit, even
when we know nothing about specific customers
 “Probability” lets us incorporate what we know, and don’t know, about
these patterns, in a rigorous, systematic way
 Goal of this class: mastery of cutting-edge quantitative methods
that enable you to analyze customer data correctly
 Structured thinking, not wild, assumptions
 Decision-making under uncertainty: doing it well
 Build models from the ground up (going “under the hood”), so you
understand exactly what’s going on.
 Full disclosure: it’s hard-core quant.
 Designed to be accessible to any Sloan MBA who did well in DMD.
 Still, it’s not for everyone. See Prof. Braun if you have question
Prof. Natalie Mizik – 2010 MIT 15.810
s.
15.840: Customer Analytics Using

Probability Models

 Selection of topics covered
 Modeling customer lifetimes and customer retention
 Estimating customer lifetime value
 Forecasting adoption of new products
 Modeling repeat purchases
 Measuring and forecasting media exposures
 The “80/20” rule: what is it really?
 Using test marketing data to segment and target customers
 What was the effect of 9-11 on the online travel industry?
 “Buy Until Dead” models: will your previous customers ever
return?
 Understanding and exploiting metrics of brand effectiveness
(and why most of them are useless)
Prof. Natalie Mizik – 2010 MIT 15.810
MIT OpenCourseWare
http://ocw.mit.edu
15.810 Marketing Management
Fall 2010
For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.

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Mit15 810 f10_lec04

  • 1. Two Sides of Customer Value: Economic Value to the Customer (EVC) and Life Time Value of a Customer (LTV) Session 4 Marketing Management Prof. Natalie Mizik
  • 2. Marketing Management: The Big Picture I. Situation Analysis (5Cs) II. Set Strategy SE (STP) III. Formulate Marketing Programs (4Ps) COMPETITION COMPANY CONTEXT COLLABORATORS GMENTATION TARGETING POSITIONING ACQUISITION- RETENTION PLACE PRODUCT PRICE PROMOTION CUSTOMERS Prof. Natalie Mizik – 2010 MIT 15.810
  • 3. Sources of Customer Value Psychological Psychological Economic Functional Prof. Natalie Mizik – 2010 MIT 15.810
  • 4. 1. Economic Value to Customers  EVC is the total (life-cycle) cost savings from using a new product in place of a current product.  EVC = (Total ownership cost of existing product) – (Total ownership cost of new product)  Maximum Willingness to Pay = Total lifecycle savings from new product compared with old product Prof. Natalie Mizik – 2010 MIT 15.810
  • 5. $1,000 $0 $500 Maximum value (at a zero price) Economic value of $125 Total cost of purchase $375 Price $100 Installation $400 Usage and maintenance $300 Price $200 Installation $500 Usage and maintenance $400 Usage and maintenance $100 Installation Benchmark Value drivers of Economic value comparison new solution and price position Example: New Telecom Switch Image by MIT OpenCourseWare. Prof. Natalie Mizik – 2010 MIT 15.810
  • 6. Price paid Acquisition costs Usage costs Maintenance costs Ownership costs Disposal costs Total cost of purchase Amazon.com lower purchase price with the on-line purchase of books. American Hospital Supply reduces a hospital's cost with a computerized customer order program. Sealed Air reduces labor cost in packaging with AirCap. Saturn lowers the cost of repair and insurance through module product design. GE Capital works with customers to create affordable ownership. Rohm-Haas's Kathon MWX cuts cost of disposal of machine fluid waste in half. Sources of EVC Image by MIT OpenCourseWare. Prof. Natalie Mizik – 2010 MIT 15.810
  • 7. Example  Lasik  The Canon and Lexmark printers are the cheapest, or are they? Commons license. For more information, see http://ocw.mit.edu/fairuse. Prof. Natalie Mizik – 2010 MIT 15.810 © source unknown. All rights reserved. This content is excluded from our Creative
  • 8.  A new synthetic motor oil is about to be introduced with the primary benefit that it needs to be changed less frequently, specifically once every year regardless of the mileage. Assuming current oils need to be changed every 3,000 miles at a cost of $30 per change (oil at a dollar a quart or a total of $5 per car, labor $20, disposal of oil $5) for an average car. What is the EVC of the new oil to a car driver who drives 15,000 miles per year? Example Prof. Natalie Mizik – 2010 MIT 15.810
  • 9. New Product Old Product Low Mileage (3,000) Average Mileage (15,000) High Mileage (45,000) Product Price ??? 1 x 5 = 5 25 15x 5 = 75 Labor Costs 20 1 x 20 = 20 100 15 x 20 = 300 Other Costs (disposal fee) 5 1x 5 = 5 25 15 x 5 = 75 TOTAL COST 25 + price 30 150 450 EVC 5 125 425 EVC/Quart 1 25 85 EVC by Customer Prof. Natalie Mizik – 2010 MIT 15.810
  • 10. Issues in Using EVC  Customer differences  High vs. low mileage drivers.  Convincing customers  Other (fuzzy) benefits ignored  BUT, EVC can be useful in  Pricing  Segmentation  New product introduction Prof. Natalie Mizik – 2010 MIT 15.810
  • 11. What is Customer Lifetime Value (CLV aka LTV)? • Customer Lifetime Value is the net present value of all future streams of profits that a customer generates over the life of his/her business with the firm Prof. Natalie Mizik – 2010 MIT 15.810
  • 12. Creating or Destroying Value? “In the United States, top executives lose their jobs when their companies sell too little. In Britain, it can happen when their companies sell too much.” —The New York Times, March 31, 1993 Prof. Natalie Mizik – 2010 MIT 15.810
  • 13. The Two Sides of Customer Value Appropriating Value High Value of Customers Low X Vulnerable Customers Lost Cause Star Customers Free Riders Low High Value to Customers Creating Value Prof. Natalie Mizik – 2010 MIT 15.810
  • 14. Value of Tennis Club Member You own a tennis club where the annual membership fee is $300. The average club member spends about $100 dollars a year at the club (in balls, drinks, snacks, etc.). The annual cost of these miscellaneous goods (the balls, drinks, snacks, etc.) to you is $40 per player. On average people who join a tennis club have a playing career of 7 years. Historically, 65% of the members in a given year rejoin the following year. Investing capital at the going rate would earn a return of 8% a year. Based on this information, what is the long-term value of a customer? Prof. Natalie Mizik – 2010 MIT 15.810
  • 15. Annual profit Retention Probability Expected profit Discount factor Expected discounted profit Assumptions Constant r = .65 d = .08 Year (A) (B) (C) (D) = (B) x (C) (E) (F) = (D) x (E) 0 360 1.00 360.00 1.00 360.00 1 360 0.65 234.00 0.93 216.67 2 360 0.42 152.10 0.86 130.40 3 360 0.27 98.87 0.79 78.48 4 360 0.18 64.26 0.74 47.23 5 360 0.12 41.77 0.68 28.43 6 360 0.08 27.15 0.63 17.11 LTV = 878.32 LTV Calculations Prof. Natalie Mizik – 2010 MIT 15.810
  • 16. 150 667075 86929699 105 100 Annual Prof 42 50 0 0 1 2 3 4 5 6 7 8 9 -50 -40 Customer T enure 120 100 100 82 76 80 70 66 Accounts Remain 60 56 60 47 40 34 40 20 0 0 1 2 3 4 5 6 7 8 9 Customer T enure ($42)*(.82) ($66)*(.76) (m)(r) (m)(r2 ) CLV   ...   .... AC (1 0.1) (1 0.1)2 (1 i) (1 i)2 17 17 Prof. Natalie Mizik – 2010 MIT 15.810 Profit and Defection Patterns Credit Card Industry Profit Pattern DefectionPattern
  • 17. Measuring Customer Value  Lifetime value of a customer assuming infinite horizon: LV  m   r    AC 1 i  r  m = margin i = discount rate r = retention rate AC = acquisition cost Prof. Natalie Mizik – 2010 MIT 15.810 18 18
  • 18. Economics of Customer Acquisition for FedEx  140 accounts in advertising industry use 2,285 Courier Paks (CP) per month  CP price is $12.50 and variable cost is $4.25  Retention rate = 0.9, discount rate = 12%  What is the maximum FedEx should be willing to spend to acquire a new account in this industry? Prof. Natalie Mizik – 2010 MIT 15.810
  • 19. Retention Discount Rate Rate 10% 12% 14% 16% 60% 1.20 1.15 1.11 1.07 70% 1.75 1.67 1.59 1.52 80% 2.67 2.50 2.35 2.22 90% 4.50 4.09 3.75 3.46 Margin Multiple Constant Margins r 1 i  r Prof. Natalie Mizik – 2010 MIT 15.810
  • 20. Retention Growth Rate Rate 0% 2% 4% 6% 8% 60% 1.15 1.18 1.21 1.24 1.27 70% 1.67 1.72 1.79 1.85 1.92 80% 2.50 2.63 2.78 2.94 3.13 90% 4.09 4.46 4.89 5.42 6.08 Margin Multiple Growth in Margins r 1 i  r(1 g) Prof. Natalie Mizik – 2010 MIT 15.810
  • 21. Increasing Customer Equity: Three strategies: I. Customer acquisition (gain new customers) II. Customer expansion  r  LV  m   AC 1 i  r  III. Customer retention Prof. Natalie Mizik – 2010 MIT 15.810
  • 22. CUSTOMER ACQUISITION CUSTOMER RETENTION CUSTOMER EXPANSION CUSTOMER PROFITABILITY FIRM VALUE Drivers of CLV Financial Value Customer Equity PROFITS & CASH FLOW Drivers of Customer Value Prof. Natalie Mizik – 2010 MIT 15.810
  • 23. I. Customer Acquisition Strategies  Marketing E*Trade  Affiliations amazon.com  Merges and Acquisitions AT&T Prof. Natalie Mizik – 2010 MIT 15.810
  • 24. Customer Acquisition Costs by Marketing Activity Source: Customer acquisition cost--a key marketing metric. Justin Zohn. NPN, Nationa Petroleum News, April 2003. Prof. Natalie Mizik – 2010 MIT 15.810 l
  • 25. Mergers & Acquisitions in the Wireless Industry (1999-2000) Mergers & Acquisitions in the Wireless Industry (1999-2000) $4,110 $6,741 $7,462 $8,306 $8,550 $21,639 $- $5,000 $10,000 $15,000 $20,000 $25,000 V o d a f o n e - A i r t o u c h F r a n c e T e l e c o m - O r a n g e V o i c e s t r e a m - O m n i p o i n t V o i c e s t r e a m - A e r i a l M a n n e s m a n n - O r a n g e D u e s t c h e T e l e k o m - V o i c e s t r e a m Cost Per Subscriber ($) Source: Based on data from The Industry Standard, Aug 7, 2000 and Business Week, August 7, 2000
  • 26. 10 10 All Customers are Important, but… Cumulative Profits 0 50 100 150 200 250 0 1 5 10 15 20 30 40 50 60 70 80 90 95 99 100 Cumulative % of Customers Profits: % of Total …some are More Important than Others Customer Profitability 500 400 Profit (SEK) 300 200 100 0 -100 -200 1 2 5 10 20 40 60 80 100 120 140 160 180 190 195 198 199 200 Customer Number Source: Kanthal (A), HBS Case 9-190-002 Kanthal is a Swedish B2B selling hearing wires Prof. Natalie Mizik – 2010 MIT 15.810
  • 27. Mergers & Acquisitions in the Wireless Industry (1999-2000) Mergers & Acquisitions in the Wireless Industry (1999-2000) $4,110 $6,741 $7,462 $8,306 $8,550 $21,639 $- $5,000 $10,000 $15,000 $20,000 $25,000 V o d a f o n e - A i r t o u c h F r a n c e T e l e c o m - O r a n g e V o i c e s t r e a m - O m n i p o i n t V o i c e s t r e a m - A e r i a l M a n n e s m a n n - O r a n g e D u e s t c h e T e l e k o m - V o i c e s t r e a m Cost Per Subscriber ($) Source: Based on data from The Industry Standard, Aug 7, 2000 and Business Week, August 7, 2000 Prof. Natalie Mizik – 2010 MIT 15.810
  • 28. d v e r t i s i n g A g e n c y A u t o / H o m e I n s u r a n c e A u t o S e r v i c e B r a n c h B a n k D e p o s i t C r e d i t C a r d I n d u s t r i a l B r o k e r a g e I n d u s t r i a l D i s t r i b u t i o n I n d u s t r i a l L a u n d r y L i f e I n s u r a n c e f f i c e B u i l d i n g M a n a g e m e n P u b l i s h i n g S o f t w a r e 100 95 90 84 81 85 85 75 80 60 50 45 45 40 35 40 20 0 A O Customer Retention Profit Impact of 5% Increase in t Customer Retention Increase in Customer Net Presen Source: Reichheld and Sasser (1990), “Zero Defections: Quality Comes to Service,” HBR, Sep-Oct. Industry Prof. Natalie Mizik – 2010 MIT 15.810 29 29
  • 29. 80 60 40 Profit per 20 customer 0 0 1 2 3 4 5 6 7 -20 -40 Acquisition cost -60 Customer Retention (why think long term?) Impact on Profit  Profit from price premium Profit from referrals Profit from reduced cost Profit from increased purchases Base profit     Years Source: Reichheld and Sasser (1990), “Zero Defections: Quality Comes to Service,” HBR, Sep-Oct. Prof. Natalie Mizik – 2010 MIT 15.810 30 30
  • 30. Under-investing in Retention Prof. Natalie Mizik – 2010 MIT 15.810 © BtoB Magazine. All rights reserved. This content is excluded from our Creative Commons license. For more information, see http://ocw.mit.edu/fairuse.
  • 31. CUSTOMER RETENTION & LOYALTY Experience Loyalty Programs Cross-selling … What Drives Retention and Loyalty? Whiskey Blue Destination Bars Whatever/Whenever Service “Business travelers with a sense of style can't get enough of the W Hotel chain” - Entrepreneur Magazine Prof. Natalie Mizik – 2010 MIT 15.810
  • 32. III. Customer Expansion: Strategies to Increase Margin  Pricing  Share of Wallet  Redefining your business  Cross-Selling Prof. Natalie Mizik – 2010 MIT 15.810
  • 33. Impact of Cross-Selling at Cox Average Monthly Customer Churn 3.0% 2.3% 2.2% 1.9% 1.4% Video Only Video + Internet Video + Phone Internet +Phone Video +Internet + Phone Source : www.cox.com Prof. Natalie Mizik – 2010 MIT 15.810
  • 34. Easier Said Than Done AOL’s Vision or Pipe Dream? Monthly $159 Revenue $24 $30 $20 $15 $30 $20 $20 $24.37 (includes advertising) Monthly Revenue Average revenue per user AOL subscription Broadband access Family plan (multiple devices on one subscription) Music Mobile services Voice services Games & entertainment Now Projected Source: Fortune, Feb 4, 2002 Prof. Natalie Mizik – 2010 MIT 15.810
  • 35. Retention Rate Margin Discount Rate Acquisition Cost 4.9 1.1 0.9 0.1 0 2 4 6 What Drives Firm Value? … creates % improvement in 1% improvement in ... firm value of February, 7-18. Gupta, Sunil, Donald R. Lehmann, and Jennifer Stuart (2004), “Valuing Customers,” Journal of Marketing Research, Prof. Natalie Mizik – 2010 MIT 15.810
  • 36. 9.9 equivalent to: ue 6.9 •8.9% growth in reven 3.1 3.0 0.5 •$1.5 billion growth in EBITDA •4.5% growth in EBITDA margin 23.4 ource: The McKinsey Quarterly, 2003, Number 4. Huge Earnings Potential Expected increase in earnings before interest, taxes, depreciation, and amortization (EBITDA) for typical US wireless carrier, percent Implementing customer lifetime management can lead to increase Reduce churn Increase average revenue per user Reduce cost to serve customer2 Reduce cost to add new customer3 Reduce cost to bad debt Total increase Prof. Natalie Mizik – 2010 MIT 15.810 S © BtoB Magazine. All rights reserved. This content is excluded from our Creative Commons license. For more information, see http://ocw.mit.edu/fairuse.
  • 37. Conclusion  Customers are assets  Lifetime value of a customer can be approximated as  r  LV  m  AC  1ir   Three key levers of growth  customer acquisition (AC)  customer retention (r)  customer expansion (m)  “Success is getting the right customers … and keeping them.” Prof. Natalie Mizik – 2010 MIT 15.810 Charles Cawley, Founder MBNA 38 38
  • 38. . . . . . .  n0  t0 n  1  (1 i) t1 mt rt (1 i)t  n0c0  n1 mt1rt1 t1  n1c1 t1 (1 i) m t1 t1r n  1c1 (1 i)t1 (1 i) Prof. Natalie Mizik – 2010 MIT 15.810 Appendix: Modeling Customer Value Time 0 n0 1 n0r n1 2 n0r2 n1r n2 3 n r3 2 0 n1r n2r n3 4 n 3 0r4 n 2 1r n2r n3r n4
  • 39. Value of Customer Base  In discrete time   tk  Value   nk  mtk r   nkck k k0 (1 i) tk (1 i)tk k0 (1 i)k  In continuous time   1ir       tk  Value  n m eik e  r  k tk dtdk  nkckeik dk k0 tk k0 Gupta, Sunil, Donald R. Lehmann, and Jennifer Stuart (2004), “Valuing Customers,” Journal of Marketing Research, February, 7-18. Prof. Natalie Mizik – 2010 MIT 15.810
  • 40. If you enjoyed Behavioral Econ Lecture last week this mktg elective is for YOU: Consumer Behavior Time is running 15.847 out! Professor Joshua Ackerman Act NOW! How do we know what to buy? What information captures our attention? When are we most susceptible to being persuaded? What shapes our decisions? This class will help you develop a basic understanding of cognition and decision making as they apply to marketing contexts, and become familiar with the major research methods for analyzing consumer behavior Topics include: Influence techniques, Self‐control, Behavioral decision theory, Nonconscious processing, Cognitive biases, Social consumption Prof. Natalie Mizik – 2010 MIT 15.810
  • 41. If you enjoyed LTV Lecture today this mktg elective is for YOU: 15.840: Customer Analytics Using Probability Models  Professor Michael Braun.  Most of what drives customer behavior is unobservable  Still, there are regular patterns in activity that managers can exploit, even when we know nothing about specific customers  “Probability” lets us incorporate what we know, and don’t know, about these patterns, in a rigorous, systematic way  Goal of this class: mastery of cutting-edge quantitative methods that enable you to analyze customer data correctly  Structured thinking, not wild, assumptions  Decision-making under uncertainty: doing it well  Build models from the ground up (going “under the hood”), so you understand exactly what’s going on.  Full disclosure: it’s hard-core quant.  Designed to be accessible to any Sloan MBA who did well in DMD.  Still, it’s not for everyone. See Prof. Braun if you have question Prof. Natalie Mizik – 2010 MIT 15.810 s.
  • 42. 15.840: Customer Analytics Using Probability Models  Selection of topics covered  Modeling customer lifetimes and customer retention  Estimating customer lifetime value  Forecasting adoption of new products  Modeling repeat purchases  Measuring and forecasting media exposures  The “80/20” rule: what is it really?  Using test marketing data to segment and target customers  What was the effect of 9-11 on the online travel industry?  “Buy Until Dead” models: will your previous customers ever return?  Understanding and exploiting metrics of brand effectiveness (and why most of them are useless) Prof. Natalie Mizik – 2010 MIT 15.810
  • 43. MIT OpenCourseWare http://ocw.mit.edu 15.810 Marketing Management Fall 2010 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.