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Teaching Guidelines - Creating Emerging Markets

CEM Perspectives on Teaching CEM Interviews Arturo Acevedo Roberto de Andraca Roberto Angelini Rossi Rosario Bazán Eva Arias Susana Balbo Federico Braun Alberto Benavides Jorge Born Ricardo Claro Laura Catena Carlos Enrique Cavelier María... View Details

Web

Success Academy Charter Schools | Information Technology

Featured Case Success Academy Charter Schools The multimedia case follows the story of Eva Moskowitz and Success Academy, a network of high-performing charter schools in New York City. The case explores the role of the government in the... View Details

February 2024
Case

Tabby: Winning Consumers' Digital Wallets

By: Eva Ascarza and Fares Khrais

Hosam Arab (MBA 2009), cofounder and CEO of Tabby, a Saudi-based fintech startup, raised its Series D funding round in October 2023, four years after its inception, valuing it as a regional unicorn. Tabby's core product, a buy-now-pay-later (BNPL) service, allowed... View Details

Keywords: Business Model; Business Startups; Risk Management; Competitive Strategy; Expansion; Financial Services Industry; Technology Industry; Saudi Arabia

October 2023 (Revised February 2024)
Teaching Note

Managing Customer Retention at Teleko

By: Eva Ascarza and Ta-Wei Huang

Teaching Note for HBS Case No. 523-005. View Details

Keywords: Customer Relationship Management; United States

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... View Details

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

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli

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 A/B testing analysis and... View Details

Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Supplement

Spreadsheet Supplement to "Artea: Designing Targeting Strategies"

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021). View Details

Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

2015
Case

EPILOGUE: Kate Spade New York: Will Expansion Deepen or Dilute the Brand?

By: Eva Ascarza and Keith Wilcox

2015
Case

Kate Spade New York: Will Expansion Deepen or Dilute the Brand?

By: Keith Wilcox and Eva Ascarza

August 2016
Case

VMD Medical Imaging Center

By: Susanna Gallani and Eva Labro

VMD Medical Imaging Center, a local independent provider of medical imaging services, is facing some important challenges. Despite efficiency improvements and cost cutting initiatives carried out over the past few years, their profitability is shrinking; their prices... View Details

Keywords: Costing; Death Spiral; Transfer Pricing; Activity Based Costing and Management; Competitive Strategy; Medical Specialties; Health Industry

August 2012
Teaching Note

Messer Griesheim (A) (Abridged) and (B) (TN)

By: Josh Lerner and Eva Lutz

Teaching Note for 813-018 and 809-057 View Details

Keywords: Private Equity; Venture Capital; Energy; Family Ownership; Energy Industry; Europe

Web

Managing Customers for Growth - Course Catalog

HBS Course Catalog Managing Customers for Growth Course Number 1965 Associate Professor Eva Ascarza Fall; Q2; 1.5 credits 14 Sessions Project Overview: Without customers, there is no business! Managing Customers for Growth (MCG) focuses... View Details

February 2024 (Revised February 2024)
Teaching Note

Travelogo: Understanding Customer Journeys

By: Eva Ascarza and Ta-Wei Huang

Teaching Note for HBS Exercise 524-044. The exercise aims to teach students about 1) Customer Segmentation; and 2) constructing buying personas, 3) Get actionable insights from clickstream data. View Details

Keywords: Customer Relationship Management; Analysis; Analytics and Data Science; Marketing Strategy; Segmentation; Consumer Behavior; Travel Industry; United States

November 2023 (Revised March 2024)
Technical Note

Customer Data Privacy

By: Eva Ascarza and Ta-Wei Huang

This note provides an overview of the evolving landscape of customer data privacy in 2023. It highlights two pivotal aspects that make privacy a central concern for businesses: building and maintaining customer trust and navigating the intricate regulatory... View Details

Keywords: Customer Relationship Management; Governance Compliance; Governing Rules, Regulations, and Reforms; Risk and Uncertainty; Reputation; Trust; Information Management; Retail Industry; Technology Industry; Financial Services Industry; Telecommunications Industry; Europe; United States

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... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis

Find at Harvard

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. View Details

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

Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in 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: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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

March 2025
Teaching Note

Unintended Consequences of Algorithmic Personalization

By: Ayelet Israeli and Eva Ascarza

Teaching Note for HBS Case No. 524-052. View Details

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