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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.
Organized Data collection – MkIS can help the managers to organize loads of data collected from the market, thus results in an increment in the productivity. A broad perspective – With a proper MkIS in place, the organization can be tracked which can be used to analyze independent processes. This helps in establishing a broader perspective ...
For each product or service, the 'area' of the circle represents the value of its sales. The growth–share matrix thus offers a "map" of the organization's product (or service) strengths and weaknesses, at least in terms of current profitability, as well as the likely cashflows. Common spreadsheet applications can be used to generate the matrix.
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.
Digital marketing mix is fundamentally the same as Marketing Mix, which is an adaptation of Product, Price, Place and Promotion into digital marketing aspect. [48] Digital marketing can be commonly explained as 'Achieving marketing objectives through applying digital technologies'.
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The retail marketing mix typically consists of six broad decision layers including product decisions, place decisions, promotion, price, personnel and presentation (also known as physical evidence). The retail mix is loosely based on the marketing mix , but has been expanded and modified in line with the unique needs of the retail context.
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