Faculty of Economics and Business Administration Publications Database

Measurement of Consumer Preferences for Bucket Pricing Plans with different Service Attributes

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Authors:
Schlereth, Christian
Source:
Volume: 29
Number: 2
Pages: 167 - 180
Month: June
ISSN-Print: 0167-8116
Link External Source: Online Version
Year: 2012
Keywords: Pricing; Willingness to pay; Discrete choice experiments; Bayesian estimation; Bucket pricing; Two-part pricing plans; Three-part pricing plans
Abstract: A bucket pricing plan charges a periodic (usually monthly) fixed price that allows consumers to use the service up to a set allowance. The determination of optimal plans requires knowledge about each consumer''s simultaneous decision about service subscription, plan choice, and consumption, which are interrelated and difficult to predict. In addition to prices, service attributes also influence these three decisions, but how they do so depends on the particular service attribute. This article describes a novel method to predict consumers’ reactions to bucket pricing plans with varying service attributes and develops an algorithm to optimize these plans. Methodologically, we show that the failure to model the influence of service attributes correctly leads to non-optimal prices and profits, which differ by up to 22.75% from the optimal solution. Substantially, we show that bucket pricing plans are approximately as profitable as other nonlinear pricing plans if at least three bucket pricing plans serve to segment the market. Bucket pricing plans therefore present an attractive alternative for service providers to differentiate consumers according to their WTP and consumption.
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