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Product line pricing is a product pricing strategy, used when a company has more than one product in a product line. [10] It is a process that traders adopt to separate products in the same category into various price groups, to create different quality levels in the customers’ minds.
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.
Pricing is not always seen as a strategic process. Greg Cudahy of Accenture observed in 2007 that for some businesses, "pricing is the last bastion of gut feel". [1] Where pricing is strategic, marketers develop an overall pricing strategy which is consistent with the organization's mission and values.
Price refers to the amount a customer pays for a product. Price may also be a consumer's expectation for getting a certain product (e.g. time or effort). Price is the only variable that has implications for revenue. Price is the only part of the marketing mix that talks about the value for the firm.
Examples of variable characteristics are: interest rates, location, date, and region of production. The sum total of the following characteristics is then included within the original price of the product during marketing. Variable pricing enables product prices to have a balance "between sales volume and income per unit sold". [32]
A product's average price is the result of dividing the product's total sales revenue by the total units sold. When one product is sold in variants, such as bottle sizes, managers must define "comparable" units. Average prices can be calculated by weighting different unit selling prices by the percentage of unit sales (mix) for each product ...
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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.