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- TestbankU
- TestbankU

... consumers it believes are willing and able to pay for its products—and decides if it is able to create a sustainable competitive advantage in the marketplace among target consumers. ...
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... how the narrative of ‘The Hunger Games’-trilogy presents us with an excellent analogy for the ‘Publishing Games’ that are at the heart of today’s marketing academia and drive not only the review process at our leading journals, but also the ever-growing obsession with journal rankings and dubious re ...
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... The price-making ability of food small and medium-sized enterprises (SME) is important for their market survival. Since pricing is a part of marketing activities, by developing specific marketing capabilities, firms can improve their ability to make pricing decisions. This paper aims at evaluating the ...
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Chapter 02 - Corporate Strategy Decisions and Their Marketing

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Marketing of Library and Information Services in Global Era
Marketing of Library and Information Services in Global Era

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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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