Ad
related to: how to determine optimal pricing
Search results
Results From The WOW.Com Content Network
Price optimization is the use of mathematical analysis by a company to determine how customers will respond to different prices for its products and services through different channels. [1] It is also used to determine the prices that the company determines will best meet its objectives such as maximizing operating profit . [ 1 ]
Pricing strategies and tactics vary from company to company, and also differ across countries, cultures, industries and over time, with the maturing of industries and markets and changes in wider economic conditions. [2] Pricing strategies determine the price companies set for their products. The price can be set to maximize profitability for ...
Constant elasticities can predict optimal pricing only by computing point elasticities at several points, to determine the price at which point elasticity equals −1 (or, for multiple products, the set of prices at which the point elasticity matrix is the negative identity matrix).
The Price Sensitivity Meter (PSM) is a market technique for determining consumer price preferences. It was introduced in 1976 by Dutch economist Peter van Westendorp . The technique has been used by a wide variety of researchers in the market research industry.
Bayesian-optimal pricing (BO pricing) is a kind of algorithmic pricing in which a seller determines the sell-prices based on probabilistic assumptions on the valuations of the buyers. It is a simple kind of a Bayesian-optimal mechanism , in which the price is determined in advance without collecting actual buyers' bids.
Cost-plus pricing is a pricing strategy by which the selling price of a product is determined by adding a specific fixed percentage (a "markup") to the product's unit cost. Essentially, the markup percentage is a method of generating a particular desired rate of return. [1] [2] An alternative pricing method is value-based pricing. [3]
Here the price of the option is its discounted expected value; see risk neutrality and rational pricing. The technique applied then, is (1) to generate a large number of possible, but random, price paths for the underlying (or underlyings) via simulation, and (2) to then calculate the associated exercise value (i.e. "payoff") of the option for ...
Algorithmic pricing is the practice of automatically setting the requested price for items for sale, in order to maximize the seller's profits. Dynamic pricing algorithms usually rely on one or more of the following data. Probabilistic and statistical information on potential buyers; see Bayesian-optimal pricing. Prices of competitors.