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Game Theory in Marketing Science: Uses and
Game Theory in Marketing Science: Uses and

... actions of competitors are 'decoupled from one's own actions and where'.such data is normally available. Highly diffuse markets with little concentmtiorr of market share, in which the indifferent competitor-weak buyer paradigm is appropriate, fit this framework. However, many non-consumer markets ar ...
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Cool Vendors in Social Marketing, 2015
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... © 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. or its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. If you are authorized to access this publication, your ...
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Chapter 6 - Niagara University Alumni
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... – A company should be honest about its purpose and be truthful about its products and services. – A company should post only information that is relevant to the interest group. – There are no regulations that prohibit a company from creating its own newsgroups for the customers of the product or ser ...
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Marketing mix modeling

Marketing mix modeling (MMM) is a term of art for the use of statistical analysis such as multivariate regressions on sales and marketing time series data to estimate the impact of various marketing tactics (marketing mix) on sales and then forecast the impact of future sets of tactics. It is often used to optimize advertising mix and promotional tactics with respect to sales revenue or profit.The techniques were developed by econometricians and were first applied to consumer packaged goods, since manufacturers of those goods had access to good data on sales and marketing support. The first companies dedicated to the commercial development of MMM were MMA (then Media Marketing Assessment) started in 1990 and the Hudson River Group founded in 1989. Other early pioneer-users of econometric modeling were the ATG group at the advertising agency JWT in the 1990s and later incorporated into MindShare ATG, BrandScience at Omnicom, and the specialist modeling agency OHAL since the late 1980s. These agencies took MMM from being a little-used and academic discipline to being a widespread and common marketing tool. Improved availability of data, massively greater computing power, and the pressure to measure and optimize marketing spend has driven the explosion in popularity as a marketing tool. In the recent times MMM has found acceptance as a trustworthy marketing tool among the major consumer marketing companies. Often in the digital media context, MMM is referred to as attribution modeling.
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