The Marketing Book 5th Edition

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Quantitative methods in marketing 225


Table 9.10 Applications of statistical decision theory or stochastic


methods in marketing (approaches, advantages, limitations and when


recommended to use)


Method Based on Marketing applications Advantages Limitations

Queuing Probability
distribution analysis
of data (empirically
gathered on how the
major factors/
variables will affect
the situation-
problem under
analysis). It is an
analysis of queuing
systems attempting
to determine service
levels/performance

(a) Optimize:
salesforce (Paul,
1972), number
of checkouts,
number of
attendants, etc.
(b) Minimize
inventory-
carrying costs;
suitable and
widely used by
chain stores,
supermarkets,
department
stores, petrol
stations, airline
ticket offices,
ports, airports,
etc.

(a) Predicts how
different
marketing
systems will
operate
(b) Gives explicit
expression
relating the
design of a
system to the
length and
frequency of
queues, waiting
time, etc.

(a) Must be
operated a
sufficient length
of time to
achieve a steady-
state solution
(b) Manager’s
reluctance to
have confidence
in this method

Stochastic
process

A random
experiment which
occurs over time
and whose outcome
is determined by
chance. This is an
analysis of systems
with variable/
uncertain
components

(a) For building
choice, models
checking on
customers’
loyalty
(b) Predict buying
decisions and
future purchasing
probabilities

Might predict flow of
customers and
future purchase
probabilities

Suitable for short-
run predictions only

Statistical
decision
theory

This is an analysis of
decision-making
processes where
outcomes are
uncertain. Probability
of each outcome –
based upon past
data or subjective
estimates – is given
adequate weight and
is taken into
consideration for
decision-making

For decision-making
on: budgeting,
advertising, pricing,
test-marketing, new
product
development,
merchandising,
optimum mix, etc.

Simplifies the level of
analysis and suggests
a number of possible
outcomes

Subjective estimation
of the probability for
each decision might
affect the results’
validity
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