lecture 5 npd sir awais
TRANSCRIPT
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CHAPTER SEVEN
ANALYTICAL ATTRIBUTE
APPROACHES:TRADE-OFF ANALYSIS ANDQUALITATIVE TECHNIQUES
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Trade-Off (Conjoint) Analysis
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An Example from this Weekend!
Control Panel
Quality of Motor
Cost
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Determinant Attributes
Control Panel Digital
Non-digital
Quality of Motor Low
Medium
High
Cost Low
Average
High
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Set of Determinant Attributes
As a customer, I had to choose between two
set of determinant attributes (based on
options available at that time):
Control Panel Quality of Motor Cost
Option 1 Digital Medium Average
Option 2 Non-Digital High Average
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As a company, you can look for all possible
sets of determinant attributes and ask
customers to rank them in accordance to their
importance, to find new product concepts.
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Control
Panel
Quality of Motor Cost Rank
Option 1 Digital Low Low
Option 2 Digital Low AverageOption 3 Digital Low High
Option 4 Digital Medium Low
Option 5 Digital Medium Average
Option 6 Digital Medium High
Option 7 Digital High LowOption 8 Digital High Average
Option 9 Digital High High
Option 10 Non-Digital Low Low
Option 11 Non-Digital Low Average
Option 12 Non-Digital Low High
Option 13 Non-Digital Medium Low
Option 14 Non-Digital Medium Average
Option 15 Non-Digital Medium High
Option 16 Non-Digital High Low
Option 17 Non-Digital High Average
Option 18 Non-Digital High High
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Lets do an Example from the Book!
Salsa(Spanish for Sauce)
Thickness Regular
Thick Extra-Thick
Spiciness Mild
Medium-Hot
Extra- Hot Color
Red
Green
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Thickness Spiciness Color Actual
Ranking*
Ranking as
Estimated
by Model
Regular Mild Red 4 4Regular Mild Green 3 3Regular Medium-Hot Red 10 10
Regular Medium-Hot Green 6 8Regular Extra-Hot Red 15 16Regular Extra-Hot Green 16 15
Thick Mild Red 2 2
Thick Mild Green 1 1Thick Medium-Hot Red 8 6
Thick Medium-Hot Green 5 5Thick Extra-Hot Red 13 13Thick Extra-Hot Green 11 11
Extra-Thick Mild Red 7 7Extra-Thick Mild Green 9 9
Extra-Thick Medium-Hot Red 14 14Extra-Thick Medium-Hot Green 12 12Extra-Thick Extra-Hot Red 17 18Extra-Thick Extra-Hot Green 18 17
* 1 = most preferred, 18 = least preferred.
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Regular Thick Ex-Thick
2
1
0
-1
-2
Mild Medium-Hot Ex-Hot Red Green
Thickness Spiciness Color
0.161 0.913 -1.074 1.667 0.105 -1.774 -0.161 0.161
Conjoint Analysis: Graphical Output
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Conjoint Analysis:
Relative Importance of Attributes
0 20 40 60 80 100 %
Spiciness
Thickness
Color
59.8%
34.6%
5.6%
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CHAPTER EIGHT
THE CONCEPT EVALUATIONSYSTEM
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Planning theEvaluation System
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Planning the Evaluation System: Four
Concepts
Rolling Evaluation (tentative nature of new
products process)
Potholes
People
Surrogates
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Rolling Evaluation (or, "Everything is
Tentative")
Project is assessed continuously (rather than a single Go/No
Go decision)
Financial analysis also needs to be built up continuously
Not enough data early on for complex financial analyses
Run risk of killing off too many good ideas early
Marketing begins early in the process
Key: new product participants avoid "good/bad" mindsets,
avoid premature closure
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Potholes
Know what the really damaging problems are
for your firm and focus on them when
evaluating concepts.
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People
Proposal may be hard to stop once there is
buy-in on the concept.
Need tough demanding hurdles, especially
late in new products process.
Personal risk associated with new product
development.
Need system that protects developers and
offers reassurance (if warranted).
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The ATAR Evaluation Method
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A.T.A.R Model
The ATAR model provides a framework to help
estimate the adoption rate in each year.
It has been used by companies to estimate
Sales. (Sales Forecast)
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A.T.A.R Model
The concept is based around four principles:
Awareness
Trial
Availability
Repeat
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Afor (Appl) Awareness In order for a person to be a regular purchaser of the
new product they must first become Aware that it
exists.
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Tfor Trial
Once they have become aware of it they must
make the decision to Try it out.
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Afor Availability
In order to be able to try it out, it must be Available
for them to purchase.
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A.T.A.R Model AWARENESS% OF TARGET MARKET AWARE
OF PRODUCT
TRIAL - % OF THOSE AWARE WILLING TO TRY
PRODUCT AVAILABILITYMEASURE OF DISTRIBUTION
INTENSITY
REPEAT% OF REPEAT BUYERS
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A.T.A.R Model
This model is then combined with theestimation on Profit per-unit to givemanagement indication on Annual Profits
expected from the New Product Concept.
Profits = Units Sold x Profit Per Unit
Unit Sold = ATAR
Profit Per Unit = Revenue per unit - cost per unit
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A.T.A.R Model
Profits = Units Sold x Profit Per Unit
Units Sold = Number of buying units
x % aware of product
x % who would try product if they can get it
x % to whom product is available
x % of triers who become repeat purchasers
x Number of units repeaters buy in a year
Profit Per Unit = Revenue per unit - cost per unit
Figure 8.5
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A-T-A-R Model Application
10 million Number of owners of Walkman-like CD playersx 40% Percent awareness after one year
x 20% Percent of "aware" owners who will try
product
x 70% Percent availability at electronics retailers
x 20% Percent of triers who will buy a second unit
x $50 Price per unit minus trade margins and
discounts ($100) minus unit cost at the
intended volume ($50)
= $5,600,000 Profits
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Points to Note About A-T-A-R Model
1. Each factor is subject to estimation.
Estimates improve with each step in the development phase.
2. Inadequate profit forecast can be improved by
changing factors.
If profit forecast is inadequate, look at each factor and seewhich can be improved, and at what cost.
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In developing estimates for each element, the followingshould be kept in mind:
Awarenesswill depend on the extent to which the new product isadvertised in the marketplace. For example, it might cost $1.0 millionto make 10% of the market aware of the product.
Trial implies that the customer actually decides to purchase the newproduct and try it out. Receiving a free sample in the mail does notnecessarily mean that they actually tried the product.
Availabilityrelates to the ease with which the purchaser can find theproduct to purchase. This is directly related to the number of channels(retail stores, internet, etc) that are available to the purchaser.
Repeatmeans that the trial was successful. In the case of convenience
items, the purchaser has decided to make repeat purchases. For one-time shopping goods, or specialty goods purchases, repeat may meanrecommending the product to a friend.