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Marketing science is a field that approaches marketing—the understanding of customer needs, and the development of approaches by which they might be fulfilled—predominantly through scientific methods, rather than through tools and techniques common with research in the arts or humanities.
Psychological pricing (also price ending or charm pricing) is a pricing and marketing strategy based on the theory that certain prices have a psychological impact. In this pricing method, retail prices are often expressed as just-below numbers: numbers that are just a little less than a round number, e.g. $19.99 or £2.98. [ 1 ]
However, because marketing makes extensive use of social sciences, psychology, sociology, mathematics, economics, anthropology and neuroscience, the profession is now widely recognized as a science. [24] Marketing science has developed a concrete process that can be followed to create a marketing plan. [25]
Digital marketing is the component of marketing that uses the Internet and online-based digital technologies such as desktop computers, mobile phones, and other digital media and platforms to promote products and services. [2] [3] It has significantly transformed the way brands and businesses utilize technology for marketing since the 1990s and ...
The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert ...
A key work in the institutional school tradition is Weld's The Marketing of Farm Products, (1916) while other important contributors included: Butler's Marketing and Merchandising, (1923); Breyer's Commodity and Marketing (1931); Converse's Marketing: Methods and Policies (1921) and Duddy & Revzan's Marketing: An Institutional Approach (1947 ...
Marketing research is the systematic gathering, recording, and analysis of qualitative and quantitative data about issues relating to marketing products and services. The goal is to identify and assess how changing elements of the marketing mix impacts customer behavior.
Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.
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