Today's consumers are immersed in a vast and complex array of networks. Each network features an interconnected mesh of people and firms, and now, with the rise of the Internet of Things (IoT), also objects. Technology (particularly mobile devices) enables such connections, and facilitates many...

As consumers spend more time on their mobile devices at various locations, a focal retailer’s natural approach is to target potential customers in close proximity to its own location. Yet focal location targeting may cannibalize profits on infra-marginal sales. This study demonstrates the...

To investigate the potential returns of targeted mobile discounts, we design and implement a large-scale field experiment involving two competing movie theaters. In the experiment, we test different forms of targeting based on real-time consumer location and past consumer behavior. A novel...

We conduct a large-scale field experiment to study competitive price discrimination in a duopoly market with two rival movie theaters. The firms use mobile targeting to offer different prices based on location and past consumer activity. A novel feature of our experiment is that we test a range...

Targeted promotions based on individual purchase histories are known to increase promotional response while reducing search effort, yet the opportunity costs of such targeted promotions remain poorly understood. We use field experiments on a mobile e-book reading app and an online ticket...

It has become common practice for retailers to personalize direct marketing efforts based on customer transaction histories as a tactic to increase sales. Targeted email offers featuring products in the same category as a customer's previous purchases generate higher purchase rates. However, a...

When a multi-channel retailer opens its first retail store in a state, the firm is obligated to collect sales taxes on all Internet and catalog orders shipped to that state. In this paper, we assess how opening a store affects Internet and catalog demand. We analyze purchase behavior among...

Ariely, Loewenstein, and Prelec (2003) showed that people's judgments of a product's value are strongly and systematically influenced by considering numbers (or “anchors”) which should be irrelevant to their valuations. However, subsequent studies showed inconsistent results while using...