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A rate card, also known as a rate sheet, is a structured table or list that sets out the different list prices that apply to a range of services provided to enable the buyer to compare the options available. It is typically the standard published rates and therefore the maximum price a buyer will be expected to pay.
Then a markup is set for each unit, based on the profit the company needs to make, its sales objectives and the price it believes customers will pay. For example, if a product's price is $10, and the contribution margin (also known as the profit margin) is 30 percent, then the price will be set at $10 * 1.30 = $13. [3]
Shopify is the name of its proprietary e-commerce platform for online stores and retail POS (point-of-sale) systems. The platform offers retailers a suite of services, including payments, marketing, shipping and customer engagement tools. [2] As of 2024, Shopify hosts 5.6 million active stores across more than 175 countries. [3]
Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
Pricing is the process whereby a business sets and displays the price at which it will sell its products and services and may be part of the business's marketing plan.In setting prices, the business will take into account the price at which it could acquire the goods, the manufacturing cost, the marketplace, competition, market condition, brand, and quality of the product.
The use of premium pricing as either a marketing strategy or a competitive practice depends on certain factors that influence its profitability and sustainability. Such factors include: Information asymmetry (e.g., when buyers have no independent basis to test claims of "exceptional quality" for a particular product or service—assuming the ...
The average price per unit can be driven upward by a rise in unit prices, or by an increase in the unit shares of higher-priced SKUs, or by a combination of the two. An 'average' price metric that is not sensitive to changes in SKU shares is the price per statistical unit. [1] Price per statistical unit
Examples of these functions are warehousing and shelf stocking. Trade discounts are often combined to include a series of functions, for example 20/12/5 could indicate a 20% discount for warehousing the product, an additional 12% discount for shipping the product, and an additional 5% discount for keeping the shelves stocked.
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