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- Faculty Publications (89)
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- 2022
- Working Paper
When Less Is More: Using Short-term Signals to Overcome Systematic Bias in Long-run Targeting
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response. Doing so requires firms to identify differences in customer sensitivity, which they often obtain using uplift modeling (i.e., heterogeneous treatment effect...
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- 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...
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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
- June 2022
- Article
Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation
By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information...
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- 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...
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- 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
- March 2022
- Teaching Note
Allianz Customer Centricity: Is Simplicity the Way Forward?
By: Eva Ascarza
Teaching Note for HBS Case No. 522-008.
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- February 2022
- Teaching Note
Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?
By: Jonas Heese and Charles C.Y. Wang
- January 2022 (Revised February 2022)
- Case
Introducing EVA at ISS: A Better Way to Evaluate CEO Performance and Compensation?
By: Jonas Heese, Charles C.Y. Wang and James Weber
In early 2019, Anthony Campagna, the global director of fundamental research at ISS EVA, a unit of the proxy advisory firm Institutional Shareholder Services (ISS), was preparing to release ISS's analyses of public company performance and CEO compensation ahead of Say...
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- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and 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...
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- September 2021
- Supplement
Interview with Julio Bruno (Time Out)
By: Eva Ascarza
Video supplement for HBS Case No. 520-128.
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- 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
- August 2021 (Revised February 2022)
- Supplement
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
- August 2021 (Revised February 2022)
- Supplement
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
- August 2021 (Revised February 2022)
- Teaching Note
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
- July 2021 (Revised January 2022)
- Teaching Note
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS Case No. 521-058.
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