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Strategic Options Analysis Applying the Value Function. Ken Homa. V =. PRODUCT VALUATION MODEL. V = Value of Product i = Product attribute b = Magnitude of benefit from attribute i (proximity to ideal point) a = Importance weighting of benefit - PowerPoint PPT Presentation
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Strategic Options AnalysisApplying the Value Function
Ken Homa
PRODUCT VALUATION MODEL
V = Value of Product
i = Product attribute
b = Magnitude of benefit from attribute i (proximity to ideal point)
a = Importance weighting of benefit
P = Price of product
V = ( ) /*a b Pi
n
i i
1
V = ( ) /*a b Pi
n
i i
1
V = Value of Product i = Product attribute
MARKSTRAT WORLD
There are 5 given product attributes (n=5): power, design, volume, weight, frequency
V = ( ) /*a b Pi
n
i i
1
Incorporate a highly weighted attribute (i) that is not currently in the product design.
Add a CD-ROM or modem as standard features in mobile PCs
Add an attribnute
V = ( ) /*a b Pi
n
i i
1
Incorporate a highly weighted attribute (i) that is not currently in the product design.
Add an attribnute
MARKSTRAT WORLDNot an option since all brands
have the 5 fixed product attributes
V = ( ) /*a b Pi
n
i i
1
Introduce a new attribute (i = n +1) that was previously not available, but satisfies a salient or latent need
… iMac’s radical ‘space age’ industrial design
…‘Bags and brakes’: air bags & ABS in cars
Add a newnew attribute
V = ( ) /*a b Pi
n
i i
1
Introduce a new attribute (i = n +1) that was previously not available, but satisfies a salient or latent need
Add a newnew attribute
MARKSTRAT WORLDNot an option: all brands constrained
to the 5 fixed product attributes
V = ( ) /*a b Pi
n
i i
1
V = Value of Product
i = Product attribute
b = Magnitude of benefit from attribute i (proximity to ideal point)
Ideal Points
• Perceptions (vs. actual)
• Aggregate of individuals…Distribution around points
• Segment variations
• Evolutionary progression…Nice to have => must have
• Different ‘shapes’…Optimal point, vectors
Ideal Points
Attribute Attribute
Preference Preference
Point Preference Vector Preference
Ideal Point
IncreasingPreference
DecreasingPreference
(eg, sweetness) (eg, service speed)
Ideal Point Strategies
• What is the ideal point?Specific ‘going in’ criteria
• Does a product satisfy the ideal point?Objective criteria vs. perceptions
• Do customers think that a product satisfies the ideal point (better than competitive products)?Relative perception
• Can the ideal point be ‘shaped’?
Product does match the target market’s ideal point,but not current perceptions ..
V = ( ) /*a b Pi
n
i i
1
Communicate proximity to ideal points (b)
“Pepsi Challenge”: highly publicized blind test tastes demonstrate that Pepsi is preferred to Coke on a heavily weighted (dominant) product attribute : taste
V = ( ) /*a b Pi
n
i i
1
Communicate proximity to ideal points (b)
• If perceptions are accurate and awareness is low, advertise to build awareness (intensity)
• If perceptions are inaccurate and awareness is low, reposition the brand by specifying ‘perceptual objectives’ while building awareness (message).
• If perceptions are inaccurate and awareness is high, either reposition - a potentially very high cost option - or launch a new brand with similar specs (relaunch).
Product specs do not match the target market’s ideal point
V = ( ) /*a b Pi
n
i i
1
Redefine product specifications to match current or projected ideal points (b’s)
Customers want increasing CPU speed in PCs. Existing units are 700 Mhz, competitors have intro’d 900 Mhz units
Redesign for speeds in excess of 700 Mhz to hit projected ideal point
Design closer to ideal point
V = ( ) /*a b Pi
n
i i
1
Redefine product specifications to match current or projected ideal points (b’s)
Design closer to ideal point
MARKSTRAT WORLD
Each market segment (Hi-earners, Buffs, etc.) has an ideal combination of specific product attributes (that may change over time).
Design (or redesign) products to hit projected ideal points of attractive market segments.
V = ( ) /*a b Pi
n
i i
1
V = Value of Product
i = Product attribute
b = Magnitude of benefit from attribute i (proximity to ideal point)
a = Importance weighting of benefit
V = ( ) /*a b Pi
n
i i
1
Target a segment with importance weights (a) and ideal points (b) matched to product
British Air promotes “business class” amenities including preferred check-in, enroute services, arrival shower facilities, etc.
V = ( ) /*a b Pi
n
i i
1
Change importance weights (a) via promotion
Federal Express promotes “absolutely, positively” next day delivery service for packages
Shifts focus to an advantaged attribute (e.g. speed versus economy)
V = ( ) /*a b Pi
n
i i
1
Persuade target customers that more (or less) of an attribute is more desirable.
Higher horsepower uses more fuel
High fat content tastes good but raises cholesterol levels.
‘Reshape’ the ideal point
V = ( ) /*a b Pi
n
i i
1
Communicate proximity to ideal points (anyway)
• Obvious ethical issue Caveat emptor
• Short-term fix at bestPerceptions eventually catch up to reality
• Common rationalization: “no harm, no foul”
• Unjustifiable desperate act
V = ( ) /*a b Pi
n
i i
1
Communicate proximity to ideal points (anyway)
• Obvious ethical issue Caveat emptor
• Short-term fix at bestPerceptions eventually catch up to reality
• Common rationalization: “no harm, no foul”
• Unjustifiable desperate act
… in real life, but not in MARKSTRAT
V = ( ) /*a b Pi
n
i i
1
V = Value of Product
i = Product attribute
b = Magnitude of benefit from attribute i (proximity to ideal point)
a = Importance weighting of benefit
P = Price of product
V = ( ) /*a b Pi
n
i i
1
Cost reduce existing products to allow a price reduction (P) which improves relative perceived value position, i.e. rebalance benefits and price
Reduce costs / price
Core NPD Question
How to translate the ideal point point into product specifications?
QFD
Customer Requirements
Importance to Cust.
Easy to close
Stays open on a hill
Easy to open
Doesn’t leak in rain
No road noise
Importance weighting
Engineering Characteristics
Ene
rgy
need
ed
to c
lose
doo
r
Che
ck fo
rce
on
leve
l gro
und
Ene
rgy
need
ed
to o
pen
door
Wat
er re
sist
ance
10 6 6 9 2 3
7
5
3
3
2
X
X
X
X
X
Correlation:
Strong positive
Positive
NegativeStrong negative
X
*
Competitive evaluation
X = UsA = Comp. AB = Comp. B(5 is best)1 2 3 4 5
X AB
X AB
XAB
A X B
X A B
Relationships:
Strong = 9
Medium = 3
Small = 1Target values
Red
uce
ener
gy
leve
l to
7.5
ft/lb
Red
uce
forc
eto
9 lb
.
Red
uce
ener
gy to
7.5
ft/lb
.
Mai
ntai
ncu
rren
t lev
el
Technical evaluation(5 is best)
5
4
3
21
B
A
X
BA
X B
A
X
B
X
A
BXABA
X
Doo
r sea
l re
sist
ance
Acc
oust
. Tra
ns.
Win
dow
Mai
ntai
ncu
rren
t lev
el
Mai
ntai
ncu
rren
t lev
el
Value FunctionReal World Implications
• Must be at least parity on all heavily weighted attributes to be competitive
• Must win on some differentiating attribute
• Little leverage from low weighted variables
• Best case : introduce a new (proprietary) attribute and drive weighting up
• Cost reduction both an on-going necessity and a last resort
Strategic Options AnalysisApplying the Value Function