posted on 1999-04-01, 00:00authored byBao-Hong Sun, Yacheng Sun, Shibo Li
Bucket pricing entails a prepaid price and a maximum consumption limit, which requires
consumers to make advance purchase decisions before their consumption needs are fully
revealed. We propose a dynamic model that involves how consumers form expectations of future
consumption needs, learn to reduce uncertainty through experience, and make optimal advance
purchase decisions. Applying the model to an online DVD rental history data, we examine how
consumption uncertainty may drive advance purchase decisions. Consumers tend to
overpurchase to cover the unexpected volatility of future consumption needs, avoid stockouts
and switching costs. Over time, consumers learn to reduce uncertainty but only those with lower
switching costs adjust their overpurchases to adapt to their reduced uncertainty. Bucket pricing
could lead to greater profits if higher-level plans were more attractive, which would induce
consumers to overpurchase more. By explicitly modeling advance purchase decision making and
empirically investigating consumer decision processes, this article helps managers better
understand the effects of price/quota combinations on consumer choice.