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Dec
9
UCLouvain Economics Seminar - Matthias Rodemeier, Bocconi University
By UCLouvain Economics Seminar

Matthias Rodemeier

Bocconi University

will give a presentation on

Buy Baits and Consumer Sophistication: Theory and Field Evidence from Large-Scale Rebate Promotions

Abstract:

Can firms exploit behavioral biases to increase profits? Does consumer sophistication about these biases limit the scope of exploitation? To answer these questions, I run a series of natural field experiments with over 600,000 consumers and estimate novel sufficient statistics of consumer sophistication. The empirical application is a ubiquitous and widely regulated form of price discrimination: rebates that need to be actively claimed by consumers. These promotions are suspected of boosting sales even though many consumers eventually fail to claim the rebate—a phenomenon marketers refer to as “slippage.” I show theoretically that consumers’ subjective redemption probabilities can be inferred from how demand responds to rebates as opposed to simple price reductions. I identify these elasticities in three natural field experiments with a major online retailer, in which I randomize prices, redemption requirements, and reminders. Results reveal that claimable rebates in fact increase sales substantially even though 47% of consumers do not redeem the rebate. However, consumers exhibit a remarkable degree of sophistication: the demand response to a rebate is only 76% of the demand response to an equivalent price reduction. Structural estimates imply that consumers are almost perfectly aware of their inattention but vastly underestimate the hassle of redemption by 20 EUR per consumer. Exploiting this misperception increases the profitability of rebates by up to 260%.

Link to the paper

Considering the new rules on teleworking, we will get back to a hybrid format for our UCLouvain Economics seminars. You are welcome to join in person in Doyen 22 but to facilitate teleworking, you can also follow our seminars on Teams.

Link to the seminar