Publications

March 2016
Article

To Groupon or Not to Groupon: The Profitability of Deep Discounts

By: Benjamin Edelman, Sonia Jaffe and Scott Duke Kominers

We examine the profitability and implications of online discount vouchers, a relatively new marketing tool that offers consumers large discounts when they prepay for participating firms' goods and services. Within a model of repeat experience good purchase, we examine... View Details

Keywords: Voucher Discounts; Groupon; Experience Goods; Repeat Purchase; Internet and the Web; Marketing Strategy; Marketing Communications

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2014
Working Paper

~To Groupon or Not to Groupon: The Profitability of Deep Discounts

By: Benjamin G. Edelman

We examine the profitability and implications of online discount vouchers, a relatively new marketing tool that offers consumers large discounts when they prepay for participating firms' goods and services. Within a model of repeat experience good purchase, we examine... View Details

Keywords: Voucher Discounts; Groupon; Experience Goods; Repeat Purchase; Online Advertising; Price; Profit; Marketing Strategy; Retail Industry

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09 Dec 2019
Research & Ideas

Identify Great Customers from Their First Purchase

School. By incorporating data most companies discard, Ascarza and her co-researcher devised an algorithm capable of quickly analyzing more than 40 variables to create a “first impression” of the customer after the initial transaction. The algorithm then predicts which... View Details

Keywords: by Kristen Senz; Retail; Service

May 2016 (Revised January 2018)
Case

Improving Repurchase Rates at zulily

By: Thales Teixeira and Sarah McAra

In February 2015, zulily cofounder and CEO Darrell Cavens faced a major challenge in his business, a Seattle-based daily deals site that catered to moms. The more he spent to acquire new customers, the less he retained them in the form of repeat purchases. This was an... View Details

Keywords: Zulily; Repurchase; E-commerce; Online Shopping; Fashion; Customer Relationship Management; Internet and the Web; Digital Marketing; Customer Satisfaction; Fashion Industry; Retail Industry; Seattle

Educators

Purchase

April 2021
Article

A Model of Multi-Pass Search: Price Search Across Stores and Time

By: Navid Mojir and K. Sudhir

In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details

Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods

July–August 2024
Article

Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

By: Ta-Wei Huang and Eva Ascarza

Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details

Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy

Research Summary

Drip Pricing

Anyone who has shopped for an airline ticket online has experienced drip pricing, as each successive screen seems to reveal another fee throughout the purchasing process. This practice is becoming prevalent in a variety of industries, but its effect on consumers is... View Details

September 2016 (Revised September 2017)
Case

Collage.com: Scaling a Distributed Organization

By: Christopher Stanton and Shikhar Ghosh

Kevin Borders and Joe Golden, co-founders and co-CEOs of Collage.com, must decide how to grow their custom photo-products startup in the face of fierce competition. From 2011 through 2016, the business evolved from a hobby to a startup with $22 million in revenue and... View Details

Keywords: Remote Work; Internet and the Web; Organizational Structure; Competitive Strategy; Employees; Business Startups; Growth and Development Strategy; Consumer Products Industry; Service Industry

Educators

Purchase

2024
Working Paper

The Operational Impact of Customer Location in On-Demand Services

By: Natalie Epstein, Santiago Gallino and Antonio Moreno

The rapid growth of on-demand delivery services, particularly in the food and grocery sectors, has driven the expansion of hyperlocal fulfillment centers (FCs). This paper uses data from an on-demand grocery delivery platform in Latin America to assess how customer... View Details

Keywords: Consumer Behavior; Logistics; Geographic Location; Service Delivery; Quality; Retail Industry; Latin America

June 2024
Article

Information Spillovers in Experience Goods Competition

By: Zhuoqiong Charlie Chen, Christopher Stanton and Catherine Thomas

When experience goods compete, consuming one product can be informative about value for similar untried products. We study a two-period model of duopoly competition in markets that have this feature and where firms can price discriminate between consumers based on... View Details

Keywords: Experience Goods; Competition; Information; Demand and Consumers; Profit; Price

October 2021
Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Nicolas Padilla and Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis

2020
Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry