Publications

Teaching Note for HBS Case No. 521-058. View Details

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... View Details

Keywords: Simplicity; Customer Focus and Relationships; Customization and Personalization; Customer Satisfaction; Performance Efficiency; Strategy; Insurance Industry; Europe; Germany

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

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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... View Details

Keywords: Artificial Intelligence; Marketing; Decision Making; Communication; Framework; AI and Machine Learning

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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... View Details

Keywords: Lifestyle Brand; Brands and Branding; Strategy; Partners and Partnerships; Negotiation

March 2021
Supplement

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

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

March 17, 2021
Other Article

Beyond Pajamas: Sizing Up the Pandemic Shopper

By: Ayelet Israeli, Eva Ascarza and Laura Castrillo

A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
While the pandemic is still playing out, our preliminary investigations... View Details

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January 2021 (Revised May 2021)
Case

Amazon Shopper Panel: Paying Customers for Their Data

This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details

2023
Working Paper

Personalized Game Design for Improved User Retention and Monetization in Freemium Games

By: Eva Ascarza, Oded Netzer and Julian Runge

One of the most crucial aspects and significant levers that gaming companies possess in designing digital games is setting the level of difficulty, which essentially regulates the user’s ability to progress within the game. This aspect is particularly significant in... View Details

Keywords: Freemium; Retention/churn; Field Experiment; Field Experiments; Gaming; Gaming Industry; Mobile App; Mobile App Industry; Monetization; Monetization Strategy; Games, Gaming, and Gambling; Mobile and Wireless Technology; Customers; Retention; Product Design; Strategy

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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

Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

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 product—characterizing the marketing... View Details

September 2020 (Revised February 2024)
Teaching Note

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

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)
Exercise

Artea (B): Including Customer-Level Demographic Data

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; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (C): Potential Discrimination through Algorithmic Targeting

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

September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

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

September 2020 (Revised June 2023)
Exercise

Artea: Designing Targeting Strategies

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

September 2020 (Revised July 2022)
Supplement

Spreadsheet Supplement to "Artea: Designing Targeting Strategies"

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

September 2020 (Revised July 2022)
Supplement

Spreadsheet Supplement to Artea (B) and (C)

Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting" View Details

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

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

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

June 2020 (Revised July 2023)
Case

Time Out: The Evolution from Media to Markets

By: Kate Barasz and Eva Ascarza

In February 2020, Time Out’s chief executive officer Julio Bruno is evaluating the strategic direction of the company. Over the span of five decades, Time Out — the global media and entertainment brand — had gone from a self-published counterculture publication in... View Details

Keywords: Branding; Media Businesses; Hospitality; Hospitality Industry; Digital; Brands and Branding; Media; Marketing; Marketing Strategy; Organizational Change and Adaptation; Strategy; Media and Broadcasting Industry; Food and Beverage Industry; United Kingdom; United States