The consumer's rent vs. buy decision in the rentailer
George Knox and
Jehoshua Eliashberg
International Journal of Research in Marketing, 2009, vol. 26, issue 2, 125-135
Abstract:
In this paper, we focus on the perspective and business model of the rentailer — a retail outlet that rents and sells new and used home video titles. This requires predicting the consumer's decision to rent or buy a particular title, segmenting its customer base, and pricing new and used titles. We develop a new model based on a simple heuristic found in the behavioral marketing literature of how people predict their own usage of a service. We estimate the model using a unique panel dataset obtained from a large rentailer, and find it provides a good fit to the data. Using the model estimates we obtain a metric indicating a latent customer tendency to buy at full price (compared to buying at a lower price or renting). Other diagnostic information from the model may help convert renters into buyers. First, expected viewing may be pitched to the consumer in order to persuade consumers that the movie will be well utilized. Secondly, we use the model to generate customized new and used title prices.
Keywords: Consumer behavior; Choice modeling; Statistical applications; Segmentation; Pricing (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167811609000251
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ijrema:v:26:y:2009:i:2:p:125-135
DOI: 10.1016/j.ijresmar.2008.12.004
Access Statistics for this article
International Journal of Research in Marketing is currently edited by Roland Rust
More articles in International Journal of Research in Marketing from Elsevier
Bibliographic data for series maintained by Catherine Liu ().