Publications
Publications
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- Faculty Publications (319)
- May 2022
- Case
Maestro Pizza: Coming in Hot!
By: Ramon Casadesus-Masanell and Fares Khrais
Maestro Pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of... View Details
Keywords: Competitive Strategy; Competitive Advantage; Competition; Market Entry and Exit; Emerging Markets; Business Startups; Corporate Entrepreneurship; Product Positioning; Disruption; Disruptive Innovation; Advertising; Advertising Campaigns; Social Media; Forecasting and Prediction; Crisis Management; Growth and Development Strategy; Brands and Branding; Product Development; Production; Service Delivery; Business Growth and Maturation; Financial Statements; Cost Management; Analysis; Quality; Performance Consistency; Customer Satisfaction; Profit; Family Ownership; Food and Beverage Industry; Middle East; Saudi Arabia
- 2022
- Working Paper
Small Campaign Donors
By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- November 2021
- Article
Ratings, Reviews, and the Marketing of New Products
By: Itay P. Fainmesser, Dominique Olié Lauga and Elie Ofek
We study how user-generated content (UGC) about new products impacts a firm's advertising and pricing decisions and the effect on profits and market dynamics. We construct a two-period model where consumers value quality and are heterogeneous in their taste for the new... View Details
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- 2021
- Report
The Economic Impact of the Market-Making Internet Advertising, Content, Commerce, and Innovation
By: John A. Deighton and Leora Kornfeld
This research about the economic value of the Internet is conducted approximately every four years and highlights the importance of the internet ecosystem, which enables job creation and market-making opportunities. This highly valued, extensive piece of economic... View Details
- July 2021 (Revised February 2022)
- Case
Mary Kay Inc.: Enriching Women's Lives while Embracing Change
By: Elie Ofek, K. Shelette Stewart and Julia Kelley
In December 2020, Mary Kay Inc. Chief Marketing Officer Sheryl Adkins-Green considered several strategic dilemmas. Founded in 1963 by Mary Kay Ash, Mary Kay was a direct sales company whose Independent Beauty Consultants purchased its beauty and cosmetics products at... View Details
Keywords: Advertising Campaigns; Demographics; Marketing; Brands and Branding; Marketing Channels; Marketing Communications; Marketing Strategy; Product Marketing; Product Positioning; Social Marketing; Salesforce Management; Organizations; Mission and Purpose; Organizational Change and Adaptation; Innovation and Invention; Innovation Strategy; Competition; Competitive Strategy; Competitive Advantage; Beauty and Cosmetics Industry; North and Central America; United States; Europe; Asia; Texas
- 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
- 2021
- Working Paper
First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details
- October 2020 (Revised March 2024)
- Case
Experimentation at Yelp
By: Iavor Bojinov and Karim R. Lakhani
Over the last decade, experimentation has become integral to the research and development processes of technology companies—including Yelp—for understanding customer preferences and mitigating innovation risks. The case describes Yelp's journey with experimentation,... View Details
- 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
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
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: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; 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
- 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
- August 2020 (Revised January 2021)
- Supplement
Facelift at Olay (B)
By: Sunil Gupta, Rajiv Lal and Olivia Hull
This supplement to Facelift at Olay (A) explains the major steps Procter & Gamble’s skincare brand Olay took to reverse several years of declining sales. View Details
- August 2020 (Revised October 2024)
- Case
Digital Marketing at HBS Online
By: Sunil Gupta and Rajiv Lal
In July 2020, the management team of Harvard Business School Online (HBS Online) had to decide how to allocate its marketing budget for fiscal year 2021 between various digital channels and its portfolio of courses. Since its launch in 2014, HBS Online had grown to... View Details
- August 2020 (Revised September 2020)
- Case
Facelift at Olay (A)
By: Sunil Gupta, Rajiv Lal and Olivia Hull
By October 2017, Procter & Gamble’s skincare brand Olay has been struggling with declining sales for several years. The team has tried many remedies, but none has returned the brand to growth. As pressure grows from Olay’s competitors, including hundreds of new... View Details
- June 2020
- Teaching Note
Brand Storytelling at Shinola
By: Jill Avery, Giana M. Eckhardt and Michael Beverland
Detroit, Michigan, aka “The Motor City,” is known as the birthplace of most of the American classic automotive brands. It is a city filled with the rich history of the industrial age, the pride of American manufacturing, and of the soulful sounds of Motown music. It is... View Details
- June 2020
- Case
In-housing Digital Marketing at Sprint Corp.
By: David E. Bell, Rajiv Lal and Olivia Hull
In the fall of 2019, Sprint’s Chief Digital Officer Rob Roy reflected on the telecom’s efforts to improve the effectiveness of its digital marketing campaigns. Digital media buying had long been handled by an outside agency, but in 2017, Sprint brought those functions... View Details
- May 2020 (Revised July 2022)
- Case
Brand Storytelling at Shinola
By: Jill Avery, Giana M. Eckhardt and Michael B. Beverland
Detroit, Michigan, aka “The Motor City,” is most known as the birthplace of most of the American classic automotive brands. It is a city filled with the rich history of the industrial age, the pride of American manufacturing, and of the soulful sounds of Motown music.... View Details