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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 ...
Value-based price, also called value-optimized pricing or charging what the market will bear, is a market-driven pricing strategy which sets the price of a good or service according to its perceived or estimated value. [1]
A loss leader (also leader) [1] is a pricing strategy where a product is sold at a price below its market cost [2] to stimulate other sales of more profitable goods or services. With this sales promotion/marketing strategy, a "leader" is any popular article, i.e., sold at a low price to attract customers. [3]
A changeable prices menu at a fast food stand on Emek Refaim Street in Jerusalem. Dynamic pricing, also referred to as surge pricing, demand pricing, or time-based pricing, and variable pricing, is a revenue management pricing strategy in which businesses set flexible prices for products or services based on current market demands.
Price Intelligence (or Competitive Price Monitoring) refers to the awareness of market-level pricing intricacies and the impact on business, typically using modern data mining techniques. It is differentiated from other pricing models by the extent and accuracy of the competitive pricing analysis. [ 1 ]
GCSE Bitesize was launched in January 1998, covering seven subjects. For each subject, a one- or two-hour long TV programme would be broadcast overnight in the BBC Learning Zone block, and supporting material was available in books and on the BBC website. At the time, only around 9% of UK households had access to the internet at home.
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.
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]).