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Freemium is a revenue model that works by offering a product or service free of charge (typically digital offerings such as software) while charging a premium for advanced features, functionality, or related products and services. The word "freemium" is a portmanteau combining the two aspects of the business model: "free" and "premium".
Good–better–best pricing takes advantage of consumers' anchoring bias; for example, when Williams-Sonoma sold a bread machine for $279, then introduced a premium bread machine for $429, the premium machine did not sell well, but the original model's sales almost doubled, because customers reasoned that the $279 model was a better value. [3]
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.
The Gabor–Granger method is a method to determine the price for a new product or service. It was developed in the 1960s by Clive Granger and André Gabor. It is a variant of monadic price testing. To use the Gabor-Granger method in a survey, one must find the highest price that respondents are willing to pay.
Verizon (NYS: VZ) Wireless expects to gain benefits to its average revenue per user from the company's tiered smartphone data pricing in the years ahead as average mobile data usage increases, a ...
Tiered service structures allow users to select from a small set of tiers at progressively increasing price points to receive the product or products best suited to their needs. Such systems are frequently seen in the telecommunications field, specifically when it comes to wireless service , digital and cable television options, and broadband ...
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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