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The marketing mix has been defined as the "set of marketing tools that the firm uses to pursue its marketing objectives in the target market". [2] Marketing theory emerged in the early twenty-first century. The contemporary marketing mix which has become the dominant framework for marketing management decisions was first published in 1984. [3]
Marketing is a complex field of decision making which involves a large degree of both judgment and intuition on behalf of the marketer. [10] The enormous increase in complexity that the individual decision-maker faces renders the decision-making process almost an impossible task. The marketing decision engine can help distill the noise.
Marketing strategy refers to efforts undertaken by an organization to increase its sales and achieve competitive advantage. [1] In other words, it is the method of advertising a company's products to the public through an established plan through the meticulous planning and organization of ideas, data, and information.
In marketing, brand management is the control of how a brand is perceived in the market.Tangible elements of brand management include the look, price, and packaging of the product itself; intangible elements are the experiences that the target markets share with the brand, and the relationships they have with it.
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.
It consists of information technology, marketing data, systems tools, and modeling capabilities that enable it to provide predicted outcomes from different scenarios and marketing strategies. [1] [2] MKDSS assists decision makers in different scenarios and can be a very helpful tool for a business to take over their competitors. [3]
Artificial intelligence has transformed the digital marketing landscape by allowing businesses to capture large amounts of consumer data, leading to data-driven marketing strategies. Businesses like Amazon can utilize user’s purchase, search, and viewing history on their platforms, to create customized user experiences.
More broadly, marketing managers work to design and improve the effectiveness of core marketing processes, such as new product development, brand management, marketing communications, and pricing. Marketers may employ the tools of business process re-engineering to ensure these processes are properly designed, and use a variety of process ...