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Show Results For
- All HBS Web
(2,694)
- People (5)
- News (515)
- Research (1,646)
- Events (15)
- Multimedia (27)
- Faculty Publications (955)
- 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.)
- October 2024
- Article
Sampling Bias in Entrepreneurial Experiments
By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
- September 2019 (Revised June 2020)
- Case
Othellonia: Growing a Mobile Game
In the summer of 2019, Yu Sasaki, Head of the Game Division of DeNA, a Japanese mobile gaming company, is evaluating various growth strategies for its recent game Othellonia. Sasaki needs to decide if he should focus on customer acquisition, retention, or monetization. View Details
Keywords: Targeting; Retention/churn; Freemium; Monetization; Customer Relationship Management; Games, Gaming, and Gambling; Mobile and Wireless Technology; Growth and Development Strategy; Marketing; Customers; Marketing Strategy; Retention; Acquisition; Entertainment and Recreation Industry; Japan
Ascarza, Eva, Tomomichi Amano, and Sunil Gupta. "Othellonia: Growing a Mobile Game." Harvard Business School Case 520-016, September 2019. (Revised June 2020.)
- June 23, 2021
- Article
Research: When A/B Testing Doesn't Tell You the Whole Story
By: Eva Ascarza
When it comes to churn prevention, marketers traditionally start by identifying which customers are most likely to churn, and then running A/B tests to determine whether a proposed retention intervention will be effective at retaining those high-risk customers. While... View Details
Keywords: Customer Retention; Churn; Targeting; Market Research; Marketing; Investment Return; Customers; Retention; Research
Ascarza, Eva. "Research: When A/B Testing Doesn't Tell You the Whole Story." Harvard Business Review Digital Articles (June 23, 2021).
- December 2016
- Article
Through the Mud or in the Boardroom: Examining Activist Types and Their Strategies in Targeting Firms for Social Change
By: Charles Eesley, K. A. DeCelles and Michael Lenox
We examine the variety of activist groups and their tactics in demanding firms’ social change. While extant work does not usually distinguish among activist types or their variety of tactics, we show that different activists (e.g., social movement organizations vs.... View Details
Eesley, Charles, K. A. DeCelles, and Michael Lenox. "Through the Mud or in the Boardroom: Examining Activist Types and Their Strategies in Targeting Firms for Social Change." Strategic Management Journal 37, no. 12 (December 2016): 2425–2440.
- April 2021
- Background Note
HEAD vs. LEAD: Disruptions Originating at the High- vs. Low-End of the Market
By: Elie Ofek, Olivier Toubia and Didier Toubia
Twenty five years after it was initially proposed, Clay Christensen’s theory of disruptive innovation continues to be a major reference for entrepreneurs, corporate innovators, and investors. However, the term “disruptive innovation” is often used in ways and contexts... View Details
Keywords: Market Entry; New Product Management; Targeting; Disruptive Innovation; Market Entry and Exit; Entrepreneurship; Product; Management; Innovation Strategy; Technology
Ofek, Elie, Olivier Toubia, and Didier Toubia. "HEAD vs. LEAD: Disruptions Originating at the High- vs. Low-End of the Market." Harvard Business School Background Note 521-104, April 2021.
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- Article
The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment
By: Eva Ascarza, Raghuram Iyengar and Martin Schleicher
Facing the issue of increasing customer churn, many service firms have begun recommending pricing plans to their customers. One reason behind this type of retention campaign is that customers who subscribe to a plan suitable for them should be less likely to churn... View Details
Keywords: Churn/retention; Field Experiment; Pricing; Tariff/plan Choice; Targeting; Customer Relationship Management; Price; Performance Effectiveness
Ascarza, Eva, Raghuram Iyengar, and Martin Schleicher. "The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment." Journal of Marketing Research (JMR) 53, no. 1 (February 2016): 46–60.
- 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
- June 2002
- Article
If You View the Customer's World in Terms of Products and Features Rather Than Jobs That Need to Be Done, You'll Miss the Target
By: Clayton Christensen and Tara Donovan
Christensen, Clayton, and Tara Donovan. "If You View the Customer's World in Terms of Products and Features Rather Than Jobs That Need to Be Done, You'll Miss the Target." Optimize 46 (June 2002).
- August 2022
- Background Note
Retail Media Networks
By: Eva Ascarza, Ayelet Israeli and Celine Chammas
In 2022, retail media was one of the fastest growing segments in digital advertising. A retail media network (RMN) allows a retailer to use its assets for advertising. Retailers set up an advertising business by allowing marketers to buy advertising space across their... View Details
Keywords: Advertisers; Advertising Media; Media And Broadcasting Industry; Retail; Retail Analytics; Retail Promotion; Retailing; Ecommerce; E-Commerce Strategy; E-commerce; Marketing Communication; Targeting; Targeted Advertising; Targeted Marketing; Advertising; Marketing; Marketing Communications; Marketing Strategy; Brands and Branding; Media; Marketing Channels; Retail Industry; Consumer Products Industry; Advertising Industry; United States
Ascarza, Eva, Ayelet Israeli, and Celine Chammas. "Retail Media Networks." Harvard Business School Background Note 523-029, August 2022.
- April 2012 (Revised May 2012)
- Case
EILEEN FISHER: Repositioning the Brand
By: Anat Keinan, Jill Avery, Fiona Wilson and Michael Norton
Well-established fashion brand Eileen Fisher has traditionally appealed to older women. However, to drive growth, Eileen Fisher's management team wants to target a younger demographic and has revamped its Fall product line to offer more fashionable styles to appeal to... View Details
Keywords: Marketing; Brand Management; Brand Positioning; Market Segmentation And Target Market Selection; Retailing; Fashion; Corporate Social Responsibility; Brands and Branding; Product Positioning; Segmentation; Social and Collaborative Networks; Growth and Development Strategy; Social Media; Retail Industry; Fashion Industry
Keinan, Anat, Jill Avery, Fiona Wilson, and Michael Norton. "EILEEN FISHER: Repositioning the Brand." Harvard Business School Case 512-085, April 2012. (Revised May 2012.)
- November 2016 (Revised April 2018)
- Case
reMarkable: e-Writing the Future
By: Elie Ofek and Curtis Hsu
Magnus Wanberg is the creator of reMarkable, a breakthrough e-writer device set apart from similar products on the market by having solved the frustrating “slow ink” problem typically experienced on pen-based electronic devices, thus providing a “pen and paper” like... View Details
Keywords: Entrepreneurial Marketing; Innovation Management; Go To Market Strategy; Marketing Plan; Target Market; Digital Devices; Consumer Electronics; Forecasting; Information Technology; Marketing Strategy; Innovation and Management; Marketing Channels; Entrepreneurship; Forecasting and Prediction; Product Marketing; Product Development; Electronics Industry
Ofek, Elie, and Curtis Hsu. "reMarkable: e-Writing the Future." Harvard Business School Case 517-018, November 2016. (Revised April 2018.)
- June 2020
- Teaching Note
Armarium: Luxury Fashion Brands for Rent
By: Jill Avery and David Fubini
Armarium, a two-sided digital platform that offered consumers the opportunity to rent the most coveted, current season high fashion clothing and accessories from the top global luxury brands, had emerged from its first sales season with two distinct customer segments:... View Details
Keywords: Luxury Brand; Fashion; Sharing Economy; Two-sided Marketplace; Target Market; Customer Selection; Marketing; Brands and Branding; Luxury; Two-Sided Platforms; Business Model; Growth and Development Strategy; Customer Value and Value Chain; Fashion Industry; Consumer Products Industry; United States; North America
- 2024
- Working Paper
Personalization and Targeting: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Personalization and Targeting: How to Experiment, Learn & Optimize." Working Paper, June 2024.
- 2020
- Working Paper
Social Interactions in Pandemics: Fear, Altruism, and Reciprocity
By: Laura Alfaro, Ester Faia, Nora Lamersdorf and Farzad Saidi
In SIR models, homogeneous or with a network structure, infection rates are assumed to be exogenous. However, individuals adjust their behavior. Using daily data for 89 cities worldwide, we document that mobility falls in response to fear, as approximated by Google... View Details
Keywords: Social Interactions; Pandemics; Mobility; Cities; SIR Networks; Social Preferences; Social Planner; Targeted Policies; Health Pandemics; Interpersonal Communication; Behavior; Policy
Alfaro, Laura, Ester Faia, Nora Lamersdorf, and Farzad Saidi. "Social Interactions in Pandemics: Fear, Altruism, and Reciprocity." NBER Working Paper Series, No. 27134, May 2020.
- 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.)
- October 2019 (Revised December 2019)
- Case
La Roche-Posay: Growing L'Oreal's Active Cosmetics Brand
By: Jill Avery, Vincent Dessain and Mette Fuglsang Hjortshoej
As 2018 neared its end, Laetitia Toupet, international general manager of L’Oréal’s La Roche-Posay brand reflected on the brand’s achievements over the past year. At €1 billion in revenue, La Roche-Posay had recently become the number one dermocosmetics brand in the... View Details
Keywords: Branding; Brand Management; Consumer Products; Brand Positioning; Target Market; Global Brands; Global Marketing; Marketing; Marketing Strategy; Brands and Branding; Globalized Firms and Management; Consumer Products Industry; Beauty and Cosmetics Industry; Health Industry; France; Europe; Brazil; China; Asia; South America; United States; North America
Avery, Jill, Vincent Dessain, and Mette Fuglsang Hjortshoej. "La Roche-Posay: Growing L'Oreal's Active Cosmetics Brand." Harvard Business School Case 520-035, October 2019. (Revised December 2019.)
- 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.)