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Show Results For
- All HBS Web
(268)
- News (30)
- Research (155)
- Events (4)
- Multimedia (7)
- Faculty Publications (157)
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- 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.)
- 2021
- White Paper
Hidden Workers: Untapped Talent
By: Joseph B. Fuller, Manjari Raman, Eva Sage-Gavin and Kristen Hines
Companies are increasingly desperate for workers. As they continue to struggle to find people with the skills they need, their competitiveness and growth prospects are put at risk.
At the same time, an enormous and growing group of people are unemployed or... View Details
Keywords: Hiring; Talent; Skills Gap; Selection and Staffing; Diversity; Talent and Talent Management; Competency and Skills
Fuller, Joseph B., Manjari Raman, Eva Sage-Gavin, and Kristen Hines. "Hidden Workers: Untapped Talent." White Paper, Harvard Business School Project on Managing the Future of Work, Boston, MA, September 2021. (Published by Harvard Business School Project on Managing the Future of Work and Accenture.)
- 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).
- 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
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details
Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
- October 2023 (Revised February 2024)
- Supplement
Managing Customer Retention at Teleko
By: Eva Ascarza and Ta-Wei Huang
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; 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
- 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 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)
- 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
- May 2016 (Revised November 2022)
- Teaching Note
RegionFly: Cutting Costs in the Airline Industry
By: Susanna Gallani and Eva Labro
Teaching Note for HBS No. 116-047. View Details
- November 2005
- Article
Importation as Innovation: Transposing managerial practices across fields
By: Eva Boxenbaum and Julie Battilana
Boxenbaum, Eva, and Julie Battilana. "Importation as Innovation: Transposing managerial practices across fields." Strategic Organization 3, no. 4 (November 2005): 1–29.
- February 2024
- Course Overview Note
Managing Customers for Growth
By: Eva Ascarza
Keywords: Customer Management
Ascarza, Eva. "Managing Customers for Growth." Harvard Business School Course Overview Note 524-033, February 2024.
- July 2023 (Revised February 2024)
- Supplement
Managing Customer Retention at Teleko
By: Eva Ascarza
This exercise aims to teach students about 1)Targeting Policies; and 2)Algorithmic decision making, 3) Retention management. View Details
- March 2022 (Revised March 2022)
- Module Note
Managing Customers in the Digital Era
By: Eva Ascarza
The last two decades have witnessed incredible technological advances that have transformed the ways customers connect with each other and enabled firms to track customers in multiple ways through various channels to personalize (and automize) their offerings at... View Details
Keywords: Customer Relationship Management; Customer Focus and Relationships; Technological Innovation
Ascarza, Eva. "Managing Customers in the Digital Era." Harvard Business School Module Note 522-066, March 2022. (Revised March 2022.)
- August 2021 (Revised February 2022)
- Supplement
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
- Research Summary
Overview
By: Eva Ascarza
Professor Ascarza’s research primarily focuses on providing researchers and marketers a better understanding of how to manage customer retention so as to reduce churn and increase firm’s profitability. She addresses these issues by building empirical models of customer... View Details
- November 2022 (Revised February 2024)
- Exercise
Managing Customer Retention at Teleko
By: Eva Ascarza
This exercise aims to teach students about 1) Targeting Policies; and 2) Algorithmic decision making, and 3) Retention management. View Details
Ascarza, Eva. "Managing Customer Retention at Teleko." Harvard Business School Exercise 523-005, November 2022. (Revised February 2024.)
- March 2022
- Teaching Note
Allianz Customer Centricity: Is Simplicity the Way Forward?
By: Eva Ascarza
Teaching Note for HBS Case No. 522-008. View Details