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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]
The contribution each channel delivers to sales can be assessed via Marketing Mix Modeling or attribution modelling. Some companies target certain channels at different demographic segments of the market or at different socio-economic groups of consumers.
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.
Distribution of products takes place through a marketing channel, also known as a distribution channel. A marketing channel is the people, organizations, and activities necessary to transfer the ownership of goods from the point of production to the point of consumption. It is the way products get to the end-user, the consumer.
A marketing mix is a foundational tool used to guide decision making in marketing. The marketing mix represents the basic tools that marketers can use to bring their products or services to the market. They are the foundation of managerial marketing and the marketing plan typically devotes a section to the marketing mix.
Megamarketing is a term coined by U.S. marketing academic, Philip Kotler, [1] [2] [3] to describe the type of marketing activity required when it is necessary to manage elements of the firm's external environment (governments, the media, pressure groups, etc.) as well as the marketing variables; Kotler suggests that two more Ps must be added to the marketing mix: public relations and power.
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In 1736, Leonhard Euler created graph theory. [6] Graph theory paved the way for network models such as Barabási-Albert's scale-free networks, chance networks such as Paul Erdös and Alfréd Rényi, Erdős–Rényi model, which applies to random graph theory, and Watts & Strogatz Small-world network, all of which can be adapted to be representative of strategies and or relationships in the ...