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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. It usually entails raising prices during periods of peak demand and lowering prices during ...
Editor’s Note: A version of this story appeared in CNN Business’ Nightcap newsletter.To get it in your inbox, sign up for free, here. Your Uber costs more at 5 pm on a Tuesday than it does at ...
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.
Price discrimination (differential pricing, [1] [2] equity pricing, preferential pricing, [3] dual pricing, [4] tiered pricing, [5] and surveillance pricing [6]) is a microeconomic pricing strategy where identical or largely similar goods or services are sold at different prices by the same provider to different buyers based on which market segment they are perceived to be part of.
“Wendy's is planning to try out ‘surge pricing’—that means you could pay more for your lunch, even if the cost to Wendy’s stays exactly the same. It’s price gouging plain and simple ...
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts
Congestion pricing or congestion charges is a system of surcharging users of public goods that are subject to congestion through excess demand, such as through higher peak charges for use of bus services, electricity, metros, railways, telephones, and road pricing to reduce traffic congestion; airlines and shipping companies may be charged ...
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]).
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