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Tara Saini (2012). Buyer behaviuor in consumer electronics
Tara Saini (2012). Buyer behaviuor in consumer electronics

... habits and why they purchase. Barry Bayus (2006) made an attempt to identify prime prospects and developing targeted marketing strategies for durables using a set of home appliances. Ashok (2007) examined the influence of micro factors which are within the organization and macro factors which are o ...
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... marketing strategies, and their degree of vertical and horizontal integration. Subsequently, we employ data from a survey of wineries in Michigan, Missouri, and New York to develop econometric models that allow us to test hypotheses regarding distribution channel choices. Emerging wine regions have ...
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Conference Program - Academy of Marketing Science

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Paradigm Shift in Marketing
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< 1 ... 114 115 116 117 118 119 120 121 122 ... 677 >

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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