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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 ...
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]).
[3] [4] Many common PWYW models set the price prior to a purchase (ex ante), but some defer price-setting until after the experience of consumption (ex post) (similar to tipping). PWYW is a buyer-centered form of participative pricing, [5] also referred to as co-pricing (as an aspect of the co-creation of value).
The BO discriminatory pricing scheme is to offer one agent a price of $150 and the other agent a price of $100. Its expected revenue is 0.5*150 + 0.5*100 = $125. In practice, however, an auction is more complicated for the buyers since it requires them to declare their valuation in advance.
It is differentiated from other pricing models by the extent and accuracy of the competitive pricing analysis. [1] The technique can be applied by companies seeking to optimize their own pricing strategy relative to their competition, [1] or by buyers seeking to optimize their purchasing strategies. [2]
Given models that provide predictions of future sales volume, either as a function of time or price decisions, the firm has certain choices or decisions available to it. Modeling those choices or decisions as an optimization problem provides a means to select the best available set of choices or decisions.