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Customer recognition and mobile geo-targeting

Irina Baye, Tim Reiz and Geza Sapi ()

No 285, DICE Discussion Papers from University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE)

Abstract: We focus on four important features of mobile targeting. First, consumers' real-time locations are known to sellers. Second, location is not the only factor determining how responsive consumers are to discounts. Other factors such as age, income and occupation play a role, which are imperfectly observable to marketers. Third, sellers may infer consumer responsiveness from their past purchases. Fourth, firms can deliver personalized offers to consumers through mobile devices based on both their real-time locations and previous purchase behavior. We derive conditions that determine how combining behavior-based marketing with mobile geo-targeting influences profits and welfare in a competitive environment. Our setting nests some earlier models of behavior-based price discrimination as special cases and yields additional insights. For instance, different from previous studies we show that pro.t and welfare effects of behavioral targeting may depend on firm discount factor.

Keywords: Mobile Marketing; Location Targeting; Price Discrimination; Customer Data (search for similar items in EconPapers)
JEL-codes: D43 L13 L15 M37 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-bec, nep-com, nep-mkt and nep-pay
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:dicedp:285

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