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Erschienen in: Quantitative Marketing and Economics 2/2015

01.06.2015

Optimal selling strategies when buyers name their own prices

verfasst von: Robert Zeithammer

Erschienen in: Quantitative Marketing and Economics | Ausgabe 2/2015

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Abstract

This paper models a name-your-own-price (NYOP) retailer who allows buyers to initiate their retail interactions by describing a product and submitting a binding bid for it. The buyers have an outside option to buy the same good for a commonly known posted price that also acts as an informative upper bound on the cost the NYOP retailer faces. We conceptualize a selling strategy of such an NYOP retailer to be the probability that a buyer’s bid gets accepted. The selling strategy is a function of only the bid level; it does not depend on the particular realization of the retailer’s procurement cost. Using mechanism-design techniques, we characterize the optimal selling strategy and the equilibrium bidding function that best responds to it. We show that the optimal strategy implements the first-best ex-post optimal mechanism: for every cost realization, the retailer can make as much profit as he would if he could learn his cost first and use the optimal mechanism contingent on it. The complexity involved in credibly communicating an entire bid-acceptance function to buyers can make the first-best strategy impractical in some real-world markets, so we also analyze several simpler NYOP strategies: setting a minimum bid, charging a participation fee, and accepting all bids above cost. We find that under many scenarios, the minimum-bid strategy dominates the other simpler strategies and achieves a majority of the maximal profit improvement available from the first best strategy. However, NYOP retailers in thin markets can do better by charging participation fees than by setting minimum bids.

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Fußnoten
1
Amaldoss and Jain 2008; Fay 2009; Wang et al. 2009, and others. Please see Anderson and Wilson (2011) for a review of analytical approaches to modeling NYOP selling.
 
2
Priceline makes its offering opaque (Fay 2008) by hiding the airline name and exact time of departure. Other retailers, e.g., byopoly.com, prisminister.dk, or chiching.com, do not make the products opaque. We abstract away from opacity in this paper because it is an orthogonal issue. Please contact the authors for the optimal strategy when the retailer’s offering is opaque but the outside market is transparent.
 
3
Several existing models make an analogous assumption, e.g. Amaldoss and Jain (2008) or Spann et al. (2010).
 
4
Posted pricing would be the optimal cost-contingent mechanism for such a retailer (Riley and Zeckhauser 1983).
 
5
Because the two competitors are selling the same object, Bertrand competition would result if the outside competitor responded. To prevent a complete collapse of profits, we could introduce horizontal differentiation arising from heterogeneity in buyer inherent preference for NYOP over posted pricing similar to Hann and Terwiesch (2003) or Fay (2009). Within such a larger model, our paper characterizes what the NYOP best response would look like.
 
6
The underlying assumption is that the NYOP retailer does not have a special technology for producing the object, but rather obtains the object from the same supplier as his posted-price competitors. Even after learning the posted price, uncertainty about c remains because p is a relatively stable price, set to reflect long-run revenue-management considerations and quite possibly a larger set of customers (as in Spann et al. 2010).
 
7
Note the FOC characterization of passive selling requires additional assumptions about H compared to the first best mechanism. One standard regularity assumption equivalent to the Myerson regularity discussed earlier in this paper is that c + H(c)/h(c) is monotonically increasing in c.
 
8
Concavity of H(b)(x − b)on the same interval is sufficient but not necessary for this.
 
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Metadaten
Titel
Optimal selling strategies when buyers name their own prices
verfasst von
Robert Zeithammer
Publikationsdatum
01.06.2015
Verlag
Springer US
Erschienen in
Quantitative Marketing and Economics / Ausgabe 2/2015
Print ISSN: 1570-7156
Elektronische ISSN: 1573-711X
DOI
https://doi.org/10.1007/s11129-015-9157-y