Filter Results:
(155)
Show Results For
- All HBS Web
(268)
- News (30)
- Research (155)
- Events (4)
- Multimedia (7)
- Faculty Publications (157)
Show Results For
- All HBS Web
(268)
- News (30)
- Research (155)
- Events (4)
- Multimedia (7)
- Faculty Publications (157)
Sort by
- Article
A Field Experiment on Search Costs and the Formation of Scientific Collaborations
By: Kevin Boudreau, Tom Brady, Ina Ganguli, Patrick Gaule, Eva C. Guinan, Anthony Hollenberg and Karim R. Lakhani
We present the results of a field experiment conducted at Harvard Medical School to understand the extent to which search costs affect matching among scientific collaborators. We generated exogenous variation in search costs for pairs of potential collaborators by... View Details
Keywords: Search Costs; Cost; Marketplace Matching; Groups and Teams; Science; Collaborative Innovation and Invention
Boudreau, Kevin, Tom Brady, Ina Ganguli, Patrick Gaule, Eva C. Guinan, Anthony Hollenberg, and Karim R. Lakhani. "A Field Experiment on Search Costs and the Formation of Scientific Collaborations." Review of Economics and Statistics 99, no. 4 (October 2017): 565–576.
- 2024
- Working Paper
Advancing Personalization: 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. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
- 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
- September 2021
- Supplement
Interview with Julio Bruno (Time Out)
By: Eva Ascarza
Video supplement for HBS Case No. 520-128. View Details
Ascarza, Eva. "Interview with Julio Bruno (Time Out)." Harvard Business School Multimedia/Video Supplement 522-707, September 2021.
- August 2021 (Revised February 2022)
- Supplement
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
- August 2021 (Revised January 2024)
- Teaching Note
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
- February 2018
- Article
Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details
Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management
Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
- 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
- April 2025
- Teaching Note
Tabby: Winning Customers' Digital Wallets
By: Eva Ascarza
Teaching Note for HBS Case No. 524-056. Tabby, a Saudi-based fintech founded in 2019, rapidly became one of the MENA region’s first unicorns by offering buy-now-pay-later (BNPL) services with a unique twist: instead of charging end consumers, it partnered with... View Details
- September 2023
- Supplement
Design and Evaluation of Targeted Interventions
By: Eva Ascarza
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)