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- All HBS Web
(118,848)
- Faculty Publications (556)
- February 2021 (Revised March 2021)
- Case
AptDeco: Circular Economy Furniture Marketplace
By: Ayelet Israeli and Jamie Merkrebs
AptDeco, a used furniture marketplace, was growing rapidly in the tri-state area. The co-founders were confident that the business model, financial position, and unit economics positioned AptDeco for scaling in the massive $120 billion furniture market, despite its... View Details
Keywords: E-Commerce Strategy; Mobile; Word-of-Mouth; Word-of-mouth Marketing; Word Of Mouth; Internet Marketing; Growth Strategy; Platform; Platforms; Two Sided Markets; Two-sided Market; Two-sided Marketplace; Two-Sided Markets; Two-sided Network; Black Entrepreneurs; Black Leadership; African Americans; Circular; Peer-to-peer Markets; Furniture Industry; Furniture; Growth Hacking; Monetization Strategy; African-American Protagonist; Growth Management; Marketing Strategy; Entrepreneurship; Digital Platforms; Marketing Channels; Digital Marketing; Consumer Behavior; Acquisition; Growth and Development Strategy; Customer Focus and Relationships; E-commerce; Retail Industry; Consumer Products Industry; Technology Industry; Web Services Industry; United States; North America; New York (city, NY); New York (state, US)
Israeli, Ayelet, and Jamie Merkrebs. "AptDeco: Circular Economy Furniture Marketplace." Harvard Business School Case 521-069, February 2021. (Revised March 2021.)
- 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
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
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
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.)
- 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
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
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
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
- 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
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
- 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
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
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
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
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
- 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
- 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
- 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
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
- June 2020
- Case
What IKEA Do We Want?
By: Juan Alcácer, Cynthia A. Montgomery, Emilie Billaud and Vincent Dessain
In 2018, Swedish furniture maker IKEA was undergoing a significant transformation. Challenged by the rise of online shopping and changing consumer behavior, and mourning the death of its founder, the Company's top executives knew they had to step out of their comfort... View Details
Keywords: Business Strategy; Transformation; Leading Change; Mission and Purpose; Business Model; Emerging Markets; Customer Focus and Relationships; Organizational Culture; Disruption; Consumer Products Industry; Retail Industry; Europe; Netherlands; Sweden; China; India; United States
Alcácer, Juan, Cynthia A. Montgomery, Emilie Billaud, and Vincent Dessain. "What IKEA Do We Want?" Harvard Business School Case 720-429, June 2020.
- June 16, 2020
- Article
Your Customers Have Changed. Here's How to Engage Them Again.
By: Rohit Deshpandé, Ofer Mintz and Imran S. Currim
The coronavirus makes your customers less able and less willing to spend than before. How should you re-engage with them? Advice from Rohit Deshpandé and colleagues. View Details
Deshpandé, Rohit, Ofer Mintz, and Imran S. Currim. "Your Customers Have Changed. Here's How to Engage Them Again." Harvard Business School Working Knowledge (June 16, 2020).