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Building Models for Marketing Decisions (Hardcover, 2000 ed.)
Loot Price: R11,073
Discovery Miles 110 730
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Building Models for Marketing Decisions (Hardcover, 2000 ed.)
Series: International Series in Quantitative Marketing, v. 9
Expected to ship within 10 - 15 working days
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The market environment is changing rapidly. Prior to scanner data,
ACNielsen, the major supplier of information on brand performances,
said its business was to provide the score but not to explain or
predict it. Now, model-based insights are not only demanded by
managers, but can also be meaningfully provided. It is common for
managers in many countries to receive market feedback frequently,
quickly and in great detail due to the use of scanners and
computers. With advances in information technology and expertise in
modeling, IRI introduced model-based services in the US that
explain and predict essential parts of the marketplace. ACNielsen
followed, and marketing researchers have been developing
increasingly valid, useful and relevant models of marketplace
behavior ever since. Models that provide information about the
sensitivity of market behavior to marketing activities such as
advertising, pricing, promotions and distribution are now routinely
used by managers for the identification of changes in marketing
programs that can improve brand performances. Building Models for
Marketing Decisions describes marketing models that managers can
use as an aid in decision making. It has long been known that even
simple models outperform judgments in predicting outcomes in a wide
variety of contexts. More complex models potentially provide
insights about structural relations not available from casual
observations. Although marketing models are now widely accepted,
the quality of the marketing decisions is critically dependent upon
the quality of the models on which those decisions are based. In
this book, which is a revision and expansion of Naert and
Leeflang's Building Implementable Marketing Models (1978), the
authors discuss in detail the model-building process. They
distinguish four parts in this process: specification, estimation,
validation and use of models. Throughout the book, the authors
provide examples and illustrations. This book will be of interest
to researchers, analysts, managers and students who want to
understand, develop or use models of marketing phenomena.
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