Behaviour-based price discrimination with cross-group externalities
In: Journal of economics, Band 125, Heft 2, S. 137-157
ISSN: 1617-7134
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In: Journal of economics, Band 125, Heft 2, S. 137-157
ISSN: 1617-7134
In: Information economics and policy, Band 52, S. 100877
ISSN: 0167-6245
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We study the optimal referral strategy of a seller and its relationship with the type of communication channels among consumers. The seller faces a partially uninformed population of consumers, interconnected through a directed social network. In the network, the seller offers rewards to informed consumers (influencers) conditional on inducing purchases by uninformed consumers (influenced). Rewards are needed to bear a communication cost and to induce word of mouth (WOM) either privately (cost per contact) or publicly (fixed cost to inform all friends). From the seller's viewpoint, eliciting Private WOM is more costly than eliciting Public WOM. We investigate (1) the incentives for the seller to move to a denser network, inducing either Private or Public WOM, and (2) the optimal mix between the two types of communication. A denser network is found to be always better not only for information diffusion but also for seller's profits, as long as Private WOM is concerned. Differently, under Public WOM, the seller may prefer an environment with less competition between informed consumers, and the presence of highly connected influencers (hubs) is the main driver to make network density beneficial to profits. When the seller is able to discriminate between Private and Public WOM, the optimal strategy is to cheaply incentivize the more connected people to pass on the information publicly and then offer a high bonus for Private WOM.
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Web users, even when not actively looking for a product, are continuously targeted by offers that potentially fit their interests. Does this kind of targeting always promote transactions with high social value? We consider a model in which a two-sided platform is visited by sellers seeking to promote their products and by users with state-contingent preferences about those products. Depending on its targeting ability, the platform could be able to target users by tailored advertising banners. We show that persuasion is stronger when targeting ability is maximal, fueling purchases that rational individuals may regret due to the persuasive nature of banners. ; Web users, even when not actively looking for a product, are continuously targeted by offers that potentially fit their interests. Does this kind of targeting always promote transactions with high social value? We consider a model in which a two-sided platform is visited by sellers seeking to promote their products and by users with state-contingent preferences about those products. Depending on its targeting ability, the platform could be able to target users by tailored advertising banners. We show that persuasion is stronger when targeting ability is maximal, fueling purchases that rational individuals may regret due to the persuasive nature of banners. (C) 2019 The Authors. Published by Elsevier B.V.
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In: CESifo Working Paper No. 7535
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Thanks to new digital technologies, web users are continuously targeted by offers that potentially fit their interests even if they are not actively looking for a product. Does this matching always promote transactions with high social value? We consider a model in which web users with state-contingent preferences are targeted by relevant banners. We characterize the optimal strategy of a seller who, in addition to the price of the offered good, designs a banner. We show that, in equilibrium, there is a positive relationship between the price of the offered good and the accuracy of the banner sent to users. Then, we consider the strategic decision of a Platform that attracts sellers because of its targeting abilities and we underline that a reduction in seller's costs may translate into less informative banners and lower prices, fueling purchases of goods that rational individuals may regret due to the persuasive nature of banners.
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In: Quaderni - Working Paper DSE N° 1116
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