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      • January 2021 (Revised May 2021)
      • Case

      Amazon Shopper Panel: Paying Customers for Their Data

      By: Eva Ascarza and Ayelet Israeli
      This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details
      Keywords: Data Analytics; Data Privacy; Data Management; "Marketing Analytics"; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Retail Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
      • December 2020 (Revised January 2022)
      • Supplement

      Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (B)

      By: Linda A. Hill and Emily Tedards
      In 2011, Michael Ku became Pfizer’s Vice President of Global Clinical Supply (GCS) after the company had undergone three large-scale mergers and acquisitions. As Ku and his new leadership team set out to build a proactive, end-to-end, digital and physical clinical... View Details
      Keywords: Digital Technology; Customer-centricity; Innovation; Customer Focus; Talent; Talent Management; Leadership; Innovation and Invention; Transformation; Organizational Culture; Customer Focus and Relationships; Change Management; Talent and Talent Management; Supply Chain; Mission and Purpose
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      Hill, Linda A., and Emily Tedards. "Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (B)." Harvard Business School Supplement 421-037, December 2020. (Revised January 2022.)
      • December 2020 (Revised February 2021)
      • Case

      Kerry Group: Inspiring Food, Nourishing Life

      By: Forest L. Reinhardt, José B. Alvarez, Damien McLoughlin, Tonia Labruyere and Tonia Junker
      The Irish company Kerry Group, one of the leading global players in the taste and nutrition industry, wants to ensure its future growth in developing and developed markets. Founded in 1972 as a dairy cooperative, it had grown into a provider of taste and nutrition... View Details
      Keywords: Agribusiness; Environmental Sustainability; Food; Nutrition; Growth and Development Strategy; Global Range; Market Entry and Exit; Customer Relationship Management; Agriculture and Agribusiness Industry
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      Reinhardt, Forest L., José B. Alvarez, Damien McLoughlin, and Tonia Labruyere. "Kerry Group: Inspiring Food, Nourishing Life." Harvard Business School Case 721-019, December 2020. (Revised February 2021.)
      • December 2020 (Revised April 2021)
      • Case

      Arcos Dorados: A QSR Recovery Plan

      By: Forest Reinhardt, José B. Alvarez, Jenyfeer Martinez Buitrago and Mariana Cal
      Arcos Dorados—McDonald’s largest independent franchisee, covering Latin America and the Caribbean (LAC)—faced a pandemic that was disrupting the entire consumer foodservice business in 2020. With the exclusive right to own, operate, and sub-franchise McDonald’s... View Details
      Keywords: Agribusiness; Animal-Based Agribusiness; Plant-Based Agribusiness; Customer Value and Value Chain; Income; Macroeconomics; Environmental Management; Environmental Sustainability; Cross-Cultural and Cross-Border Issues; Food; Health Pandemics; Crisis Management; Logistics; Corporate Social Responsibility and Impact; Strategic Planning; Food and Beverage Industry; Agriculture and Agribusiness Industry; Retail Industry; Latin America; Aruba; Guadeloupe; Martinique; Mexico; Panama; Costa Rica; Argentina; Brazil; Chile; Colombia; Ecuador; French Guiana; Peru; Uruguay; Venezuela; Puerto Rico; Trinidad and Tobago
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      Reinhardt, Forest, José B. Alvarez, Jenyfeer Martinez Buitrago, and Mariana Cal. "Arcos Dorados: A QSR Recovery Plan." Harvard Business School Case 721-023, December 2020. (Revised April 2021.)
      • 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
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      Bojinov, Iavor, and Karim R. Lakhani. "Experimentation at Yelp." Harvard Business School Case 621-064, October 2020. (Revised March 2024.)
      • 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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      Gupta, Sunil. "Are You Really Innovating Around Your Customers' Needs?" Harvard Business Review (website) (October 1, 2020).
      • 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
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      Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020.
      • 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
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Teaching Note 521-035, September 2020. (Revised July 2022.)
      • 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
      Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
      • 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
      Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. Spreadsheet Supplement to "Artea: Designing Targeting Strategies". Harvard Business School Spreadsheet Supplement 521-703, September 2020. (Revised July 2022.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea (B) and (C)." Harvard Business School Spreadsheet Supplement 521-704, September 2020. (Revised July 2022.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
      • September–October 2020
      • Article

      Managing Churn to Maximize Profits

      By: Aurelie Lemmens and Sunil Gupta
      Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details
      Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
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      Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
      • August 2020 (Revised February 2021)
      • Case

      Luckin Coffee (A): Caffeine-fueled Growth?

      By: Ramon Casadesus-Masanell and Karen Elterman
      This case describes the founding of Chinese coffee chain Luckin Coffee in 2017 and its path to surpassing Starbucks as the largest coffee chain in China (by number of stores) in 2019. Unlike Starbucks stores, which were designed to be welcoming “third places” for... View Details
      Keywords: Business Model; Business Earnings; Cost; Cost Management; Financial Statements; Financial Condition; Financial Management; Stocks; Profit; Revenue; Price; Food; Business History; Employment; Brands and Branding; Product Positioning; Marketing Strategy; Business Strategy; Expansion; Competitive Strategy; Food and Beverage Industry; Technology Industry; Asia; China
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      Casadesus-Masanell, Ramon, and Karen Elterman. "Luckin Coffee (A): Caffeine-fueled Growth?" Harvard Business School Case 721-370, August 2020. (Revised February 2021.)
      • July 2020
      • Case

      Driving Transformation at the Majid Al Futtaim Group

      By: Suraj Srinivasan and Esel Çekin
      The case opens with Alain Bejjani, CEO of Majid Al Futtaim (MAF) Holding, anticipating on the Group’s next phase in the multi-year transformation journey and reflecting on the initiatives he implemented to create the Group’s growth-oriented culture. Founded in 1995,... View Details
      Keywords: Transformation; Organizational Change and Adaptation; Organizational Culture; Growth and Development Strategy; Retail Industry; United Arab Emirates; Middle East; Dubai
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      Srinivasan, Suraj, and Esel Çekin. "Driving Transformation at the Majid Al Futtaim Group." Harvard Business School Case 121-002, July 2020.
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