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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.
Marketing mix. The marketing mix is the set of controllable elements or variables that a company uses to influence and meet the needs of its target customers in the most effective and efficient way possible. These variables are often grouped into four key components, often referred to as the "Four Ps of Marketing." These four P's are:
Advertising adstock or advertising carry-over is the prolonged or lagged effect of advertising on consumer purchase behavior. Adstock is an important component of marketing-mix models. The term "adstock" was coined by Simon Broadbent. [ 1] Adstock is a model of how the response to advertising builds and decays in consumer markets.
Neil H. Borden, nicknamed Pete, was born in Boulder, Colorado, in 1895. He was one of the seven children of Edmund and Irene Borden. [ 2] He graduated from the University of Colorado in 1919, with a Bachelor of Arts (Economics) degree. On advice of his economics professor, he decided to focus on a teaching career in the emerging field of ...
Marketing. The AIDA marketing model is a model within the class known as hierarchy of effects models or hierarchical models, all of which imply that consumers move through a series of steps or stages when they make purchase decisions. These models are linear, sequential models built on an assumption that consumers move through a series of ...
Marketing communications include advertising, promotions, sales, branding, campaigns, events, and online promotions. [ 3] The process allows the public to know or understand a brand and get a clear idea of what the brand has to offer. Brand awareness is the first stage, then brand preference over its competitors is the desired outcome.
Analytics. Analytics is the systematic computational analysis of data or statistics. [ 1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [ 2] Analytics also entails applying data patterns toward effective decision-making.
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.