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- February 2025
- Article
Improving Customer Compatibility with Tradeoff Transparency
By: Ryan W. Buell and MoonSoo Choi
Through a large-scale field experiment with 393,036 customers considering opening a credit card account with a nationwide retail bank, we investigate how providing transparency into an offering’s tradeoffs affects subsequent rates of customer acquisition and long-run... View Details
- August 2024
- Case
Cristina Ventura: The Career of a Catalyst
By: Linda A. Hill, Allison J. Wigen and Ruth Page
This multimedia case follows the career of Chief Catalyst Officer for the Lane Crawford Joyce Group (LCJG), Cristina Ventura. After beginning her career in luxury in Europe and Asia, Ventura was recruited in 2011 to open Apple’s flagship stores in Hong Kong and South... View Details
- August 2024 (Revised January 2025)
- Case
Barbie: Reviving a Cultural Icon at Mattel
The 2023 release of the live-action film Barbie, and its accompanying marketing blitz, incited a worldwide Barbie craze. Suddenly Barbie was everywhere, a celebrated icon reinstated at the forefront of cultural conversation. This goodwill stood in contrast to... View Details
- 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... View Details
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; Retail Industry; United States
- February 22, 2023
- Article
How to Seed Organic Marketing in a Video-First World
By: Ayelet Israeli, Leonard A. Schlesinger and Matt Higgins
Early direct-to-consumer (DTC) companies relied on plentiful capital and low-cost digital marketing to power growth. But as this sector has matured, capital is more constrained, social media is more cluttered, and customer acquisition costs are rising. DTC companies... View Details
Keywords: Online Business; Ecommerce; E-commerce; E-Commerce Strategy; Omnichannel Retail; Omnichannel Retailing; Influencer Marketing; Consumer; Organic Growth; Video Advertising; Promotion; Celebrities; Online Advertising; Online Channel; Online Communities; Online Community; Go To Market Strategy; Platform; Media; Media Content; Digital; Digital Culture; Digital Influencers; Direct To Consumer Marketing; Direct-to-consumer; Innovation ＆ Entrepreneurship; Innovation; Sales; Digital Platforms; Digital Marketing; Digital Strategy; Consumer Behavior; Internet and the Web; Advertising; Business Model; Growth Management; Marketing; Marketing Strategy; Marketing Channels; Marketing Communications; Communication Strategy; Innovation Strategy; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; Retail Industry; United States; North America
- December 2022
- Case
Mission Produce in 2022
By: Forest Reinhardt, Jose B. Alvarez and Natalie Kindred
Founded by CEO Steve Barnard in 1983, California-based Mission Produce was a leading supplier of Hass avocados with a global sourcing, marketing, and distribution network and $892 million in 2021 sales. Barnard had been influential in the global avocado trade’s... View Details
Keywords: Retail Industry; Retail Industry; Retail Industry; Retail Industry; United States; California; Peru; Guatemala; Colombia; Mexico; Chile
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. 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; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- 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... View Details
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; Retail Industry; Retail Industry; United States
- 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
- 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
- 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
- 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
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Retail Industry; United States
- 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; Retail Industry; United States
- May 2020
- Case
Trust Merchant Bank
By: Ramon Casadesus-Masanell, Pippa Tubman Armerding, Dilyana Karadzhova Botha and Salim Dewji
Trust Merchant Bank (TMB), a leading bank in the Democratic Republic of Congo (DRC), needs to decide whether to enter the soon-to-be-liberalized insurance industry. Since its founding in 2004, TMB has played a pivotal role in reshaping the DRC banking landscape by... View Details
Keywords: Retail Banking; Financial Services; Financial Inclusion; Turnaround; Fintech; Banks and Banking; Financial Condition; Insurance; Corporate Strategy; Expansion; Business Model; Family Business; Entrepreneurship; Information Technology; Monopoly; Banking Industry; Insurance Industry; Africa; Congo, Democratic Republic of the
- 2020
- Working Paper
Reinventing Retail: The Novel Resurgence of Independent Bookstores
By: Ryan Raffaelli
This study examines how community-based brick-and-mortar retailers can achieve sustained market growth in the face of online and big box retail competition. The appearance of Amazon.com in 1995 led to a significant decline in the number of independent bookstores in the... View Details
- December 2018 (Revised December 2019)
- Case
Commonwealth Joe Coffee Roasters
By: Alexander MacKay and Ramon Casadesus-Masanell
At the end of 2016, the leadership team of Commonwealth Joe Coffee Roasters—Robert Peck, Chase Damiano, and Jeremy Martin—had begun an ambitious retail expansion strategy in the Washington, D.C. metropolitan area for their specialty coffee business. That October, they... View Details
- 2018
- Working Paper
Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets
By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu
We investigate how dynamic pricing can lead to more product returns in the online retail industry. Using detailed sales data of more than two million transactions from the Indian online retail market, where price promotions are very common, we document two types of... View Details
- August 2018 (Revised February 2019)
- Case
Shindigz
By: Frank Cespedes
Shindigz provides party and celebratory items for various occasions and events through its branded online channel, through third-party retail and wholesale channels, and external online marketplaces. The case focuses on pricing challenges facing a venture with an... View Details
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Brands; Brand ＆ Product Management; Big Data; ＂Marketing Analytics＂; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Retail Industry; Retail Industry; United States; North America