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All HBS Web
(115,583)
- Faculty Publications (72)
- 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...
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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
- 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.
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Ascarza, Eva. "Managing Customer Retention at Teleko." Harvard Business School Exercise 523-005, November 2022. (Revised February 2024.)
- 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
Ascarza, Eva, Ayelet Israeli, and Celine Chammas. "Retail Media Networks." Harvard Business School Background Note 523-029, August 2022.
- 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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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.)
- 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).
- 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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- 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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Keywords:
Customer Management;
Targeting;
Deep Exponential Families;
Probabilistic Machine Learning;
Cold Start Problem;
Customer Relationship Management;
Programs;
Consumer Behavior;
Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- September 2021
- Supplement
Interview with Julio Bruno (Time Out)
By: Eva Ascarza
Video supplement for HBS Case No. 520-128.
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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 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
- 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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- July 2021 (Revised October 2021)
- Case
Allianz Customer Centricity: Is Simplicity the Way Forward?
By: Eva Ascarza and Emilie Billaud
This case explores the tradeoffs between product personalization and simplicity as companies grow. The case presents an opportunity to understand whether and how each of these approaches enables and/or limits companies’ abilities to provide customer satisfaction while...
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Keywords:
Simplicity;
Customer Focus and Relationships;
Customization and Personalization;
Customer Satisfaction;
Performance Efficiency;
Strategy;
Insurance Industry;
Europe;
Germany
Ascarza, Eva, and Emilie Billaud. "Allianz Customer Centricity: Is Simplicity the Way Forward?" Harvard Business School Case 522-008, July 2021. (Revised October 2021.)
- 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...
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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 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of...
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Keywords:
Artificial Intelligence;
Marketing;
Decision Making;
Communication;
Framework;
AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
- May 2021 (Revised August 2021)
- Case
Melissa Wood Health: How to Win in the Creator Economy
By: Eva Ascarza
In October 2020, Melissa Wood-Tepperberg, founder of the digital subscription wellness platform Melissa Wood Health (MWH) and creator of ‘The MWH Method,’ was evaluating the strategic directions of her company. What had started as a way to share workouts and wellness...
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Ascarza, Eva. "Melissa Wood Health: How to Win in the Creator Economy." Harvard Business School Case 521-086, May 2021. (Revised August 2021.)
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to 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...
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Keywords:
Targeted Advertising;
Targeting;
Algorithmic Data;
Bias;
A/B Testing;
Experiment;
Advertising;
Gender;
Race;
Diversity;
Marketing;
Customer Relationship Management;
Prejudice and Bias;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
United States