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October 2020 (Revised June 2021)
Case

The Bronx Community Foundation

By: Brian Trelstad and Aldo Sesia

Derrick and Desmon Lewis were both successful professionals in the consulting and banking industries. They were born and raised in The Bronx, New York City’s poorest borough. The Lewis brothers had always wanted to give back to the community. In 2016 they launched a... View Details

Keywords: Community Foundations; Social Enterprise; Social Entrepreneurship; Relationships; Business Model; Social Issues; New York (city, NY); United States

October 2020 (Revised March 2024)
Case

Experimentation at Yelp

By: Iavor Bojinov and Karim R. Lakhani

Over the last decade, experimentation has become integral to the research and development processes of technology companies—including Yelp—for understanding customer preferences and mitigating innovation risks. The case describes Yelp's journey with experimentation,... View Details

Keywords: Customer Relationship Management; Collaborative Innovation and Invention; Risk Management; Advertising; Research and Development; Technology Industry

2021
Working Paper

Accounting for Product Impact in the Consumer-Packaged Foods Industry

By: Amanda Rischbieth, George Serafeim and Katie Trinh

We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the consumer-packaged goods industry. We design a methodology that allows us to calculate monetary impact estimates on customer... View Details

Article

Are You Really Innovating Around Your Customers' Needs?

By: Sunil Gupta

Every company believes it is customer-centric. However, most of them are product- and service-centric first, focusing on how to enhance their offerings rather than putting themselves in their customers’ shoes. To come up with truly innovative customer-centric ideas,... View Details

Keywords: Customer Focus and Relationships; Customer Satisfaction; Innovation and Management

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2020
Working Paper

Targeting for Long-Term Outcomes

By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral

Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we... View Details

Keywords: Targeted Marketing; Optimization; Churn Management; Marketing; Customer Relationship Management; Policy; Learning; Outcome or Result

September 2020 (Revised July 2022)
Teaching Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

Teaching Note for HBS No. 521-020. This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and... View Details

Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details

Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (C): Potential Discrimination through Algorithmic Targeting

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised June 2023)
Exercise

Artea: Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

September 2020 (Revised July 2022)
Supplement

Spreadsheet Supplement to "Artea: Designing Targeting Strategies"

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021). View Details

Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Supplement

Spreadsheet Supplement to Artea (B) and (C)

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting" View Details

Keywords: Gender; Race; Diversity; Marketing; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details

Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020
Case

Walmart Health: Scaling During a Pandemic

By: Robert S. Huckman, Yoonjin Min and Marissa Thiel

Amidst the onset of COVID-19 pandemic in the United States, Marcus Obsborne, Vice President for Health and Wellness Transformation at Walmart was planning to scale its new health care clinic business, Walmart Health, to additional locations in Georgia and beyond.... View Details

Keywords: Health Care and Treatment; Health Pandemics; Health; Service Delivery; Growth and Development Strategy; Health Industry; United States; Arkansas; Georgia (state, US); Texas

September 2020
Case

&pizza: Leading an ‘Employee-First’ Company During a Period of Societal Challenges

By: Francesca Gino and Jeffrey Huizinga

&Pizza is a pizza chain that in the spring of 2020 finds its business completely up-ended by the COVID-19 crisis and shut-down. Many companies in the restaurant and hospitality sector responded to the crisis by shutting down their operations and laying off employees.... View Details

Keywords: Agility; Crisis; Culture; Values; COVID-19 Pandemic; Crisis Management; Leadership; Organizational Culture; Values and Beliefs; Employee Relationship Management

September 2020 (Revised November 2020)
Case

PDS: Ring-Fencing the Ranch

By: Dennis Campbell, Tarun Khanna and Kerry Herman

Pallak Seth, Group CEO of PDS Multinational Fashions, is contemplating options to bring better collaboration across his global apparel supply chain platform. PDS, a group of 50-plus subsidiary companies, each led by its own CEO and with different apparel industry... View Details

Keywords: Collaboration; Supply Chain Management; Performance; Partners and Partnerships; Employee Stock Ownership Plan; Apparel and Accessories Industry

September 2020
Case

Uber at a Crossroads (2017)

By: Ramon Casadesus-Masanell and Karen Elterman

This case describes the history of Uber, its business model—including the ways it differed from that of the traditional taxi industry—and its competition with Lyft. The case is set in 2017, a year in which Uber was plagued by even more scandals than usual, though its... View Details

September 2020
Case

Drinkworks: Home Bar by Keurig

By: Sunil Gupta, Jonathan Levav and Julia Kelley

In the summer of 2018, Drinkworks CEO Nathaniel Davis needed to make a number of go-to-market decisions ahead of his company’s upcoming product launch. Formed through a joint venture between Keurig Dr. Pepper and Anheuser-Busch InBev, Drinkworks had developed an... View Details

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