Sales-Based Rebate Design
Amir Ajorlou, Ali Jadbabaie

TL;DR
This paper introduces a new class of sales-based rebate mechanisms that leverage network effects to influence consumer behavior and optimize seller revenue in markets with uncertain product quality.
Contribution
It develops a novel rebate design framework using global games and optimization, revealing how to induce beneficial externalities and overcome practical implementation barriers.
Findings
Sales-based rebates can induce positive or negative externalities in consumer utilities.
Optimal rebate schemes can incentivize purchases among consumers with different valuations.
Mechanisms that create positive externalities may reduce profit, while decreasing rebates with sales volume can boost revenue.
Abstract
We propose a novel family of sales-based rebate mechanisms that induce network effects in sales of products that do not exhibit such externalities. The proposed rebate mechanisms enable the seller of a product with uncertain quality to adjust the magnitude and sign of externalities in consumers' payoffs by conditioning the amount of the rebate on the sales volume. Using the machinery of global games and variational optimization techniques, we analyze the revenue implications of such induced externalities in the form of rebates. We identify optimal profitable designs while unraveling the main drivers of profit and further elucidate the main practical barriers associated with their implementation and show how these difficulties can be handled. The key insight of our rebate design is monetizing the strategic uncertainty in consumers' beliefs on others' valuations. The common externality…
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Taxonomy
TopicsInnovation Diffusion and Forecasting · Complex Network Analysis Techniques · Game Theory and Applications
