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If, for example, an item has a marginal cost of $1.00 and a normal selling price is $2.00, the firm selling the item might wish to lower the price to $1.10 if demand has waned. The business would choose this approach because the incremental profit of 10 cents from the transaction is better than no sale at all.
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]).
Cost benchmarking is the measurement, refinement and analysis of one's Cost of Goods Sold (COGS) when compared to market peers. Cost benchmarking identifies competitiveness of pricing in industry terms, highlighting best in class [1] pricing and subsequently showing areas for competitive pricing improvement.
For example, a business plan for a non-profit might discuss the fit between the business plan and the organization's mission. Banks are quite concerned about defaults, so a business plan for a bank loan will build a convincing case for the organization's ability to repay the loan.
The price of a product or service is defined as cost plus profit, whereas cost can be broken down further into direct cost and indirect cost. [1] As a business has virtually no influence on indirect cost, a cost reduction oriented cost breakdown analysis focuses rather on factors contributing to direct cost.
Determining what your objectives are is the first step in pricing. When deciding on pricing objectives you must consider: 1) the overall financial, marketing, and strategic objectives of the company; 2) the objectives of your product or brand; 3) consumer price elasticity and price points; and 4) the resources you have available.
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In general business, price analysis is the process of evaluating a proposed price independent of cost and profit. [1] [2] Price analysis began in 1939 when economist Andrew Court decided to analyze prices to better understand the environmental factors that influence this practice. [3]