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  • June 2025
  • Case

Full-funnel Advertising on TikTok

By: Jeremy Yang, Ayelet Israeli and Alexis Lefort
In 2025 TikTok is working to grow its brand and performance advertising business, along with a new integrated full-funnel solution. As an emerging media platform with unique ad formats and user behavior in a privacy-first environment, TikTok faces both significant... View Details
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  • June 2025
  • Supplement

Full-Funnel Advertising on TikTok: An Experiment

By: Jeremy Yang and Ayelet Israeli
TikTok’s Marketing Science team developed a new type of advertising strategy beyond branding and performance advertising, called full-funnel advertising. Branding ads focused on brand building at the top of the funnel by generating consumer awareness, while performance... View Details
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  • June 2025
  • Exercise

Full-Funnel Advertising on TikTok: An Experiment

By: Jeremy Yang and Ayelet Israeli
TikTok’s Marketing Science team developed a new type of advertising strategy beyond branding and performance advertising, called full-funnel advertising. Branding ads focused on brand building at the top of the funnel by generating consumer awareness, while performance... View Details
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  • June 2025
  • Exercise

Full-Funnel Advertising on TikTok: An Experiment (Solution)

By: Jeremy Yang and Ayelet Israeli
TikTok’s Marketing Science team developed a new type of advertising strategy beyond branding and performance advertising, called full-funnel advertising. Branding ads focused on brand building at the top of the funnel by generating consumer awareness, while performance... View Details
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  • 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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  • 2025
  • Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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  • October 2024
  • Article

Canary Categories

By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
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  • 2024
  • Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
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  • 2024
  • Working Paper

Advancing Personalization: How to Experiment, Learn & Optimize

By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
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  • May 2024
  • Teaching Note

The Meteoric Rise of Skims

By: Ayelet Israeli, Jill Avery and Leonard A. Schlesinger
Teaching Note for HBS Case No. 524-023, "The Meteoric Rise of Skims." View Details
Keywords: Brand; Branding; Direct-to-consumer; DTC; Influencers; Influencer Marketing; Fashion; Growth; Direct Marketing; Influence; Reputation; Social Influence; Consumer Goods; Consumer Products; Female Entrepreneur; Female Protagonist; Entrepreneurship And Strategy; Brand ＆ Product Management; Competitive Advantage; Online Followers; Retail; Retail Formats; Retailing; Online Retail; Celebrities; Celebrity; Celebrity Endorsement; Go To Market Strategy; Apparel; Startup Marketing; Startups; Brands and Branding; Growth and Development Strategy; Growth Management; Distribution Channels; Digital Marketing; Advertising; Power and Influence; Social Media; Fashion Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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  • May–June 2024
  • Article

What Makes a Successful Celebrity Brand?

By: Ayelet Israeli, Jill Avery, Leonard A. Schlesinger and Matt Higgins
Celebrities have shifted from endorsing established brands to being influencers for established brands to drawing on their influence to create brands themselves. The authors examine what it takes to make celebrity brands work. View Details
Keywords: Celebrities; Celebrity Endorsement; Celebrity Management; Celebrity; Direct To Consumer Marketing; DTC; Influencer Marketing; Influencers; Influencer Advertising; Influencer; Brands and Branding; Product Marketing; Power and Influence; Advertising; Social Media; Consumer Products Industry; United States
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  • March 2024
  • Case

Unintended Consequences of Algorithmic Personalization

By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details
Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States
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  • February 2024
  • Module Note

Data-Driven Marketing in Retail Markets

By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; ＂Marketing Analytics＂; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
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  • January 2024
  • Teaching Note

Crocs: Using Community-Centric Marketing to Make Ugly Iconic

By: Ayelet Israeli and Anne V. Wilson
Teaching Note for HBS Case No. 524-006. View Details
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  • September 2023
  • Case

The Meteoric Rise of Skims

By: Ayelet Israeli, Jill Avery and Leonard A. Schlesinger
Since its founding in 2019 by Kim Kardashian and Jens Grede, Skims, a solutions-oriented brand creating the next generation of underwear, loungewear, and shapewear with an eye toward body-type and skin-tone inclusivity, has experienced a meteoric rise. Kardashian, who... View Details
Keywords: Brand; Branding; Direct-to-consumer; DTC; Influencers; Influencer Marketing; Fashion; Growth; Direct Marketing; Influence; Reputation; Social Inference; Consumer Goods; Consumer Products; Female Entrepreneur; Female Protagonist; Entrepreneurship And Strategy; Brand ＆ Product Management; Competitive Advantage; Online Followers; Retail; Retail Formats; Retailing; Online Retail; Celebrities; Celebrity; Celebrity Endorsement; Go To Market Strategy; Apparel; Startup Marketing; Startups; Social Influencers; Brands and Branding; Growth and Development Strategy; Growth Management; Distribution Channels; Digital Marketing; Advertising; Power and Influence; Social Media; Fashion Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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  • July 2023
  • Case

Crocs: Using Community-Centric Marketing to Make Ugly Iconic

By: Ayelet Israeli and Anne V. Wilson
In 2022, the Crocs Classic Clog was the best-selling item of clothing on Amazon, the brand was one of the fastest growing brands in the U.S., and global net revenue had increased to approximately $3.6 billion. By most accounts, Crocs had become the “it” shoe. Crocs... View Details
Keywords: Brands and Branding; Product Development; Growth and Development; Customer Value and Value Chain; Digital Marketing; Digital Strategy; Segmentation; Advertising; Consumer Products Industry; Apparel and Accessories Industry; United States
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  • July 2023
  • Case

DayTwo: Going to Market with Gut Microbiome (Abridged)

By: Ayelet Israeli
DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details
Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels
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  • 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; Apparel and Accessories Industry; United States
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  • April 2023
  • Teaching Note

Cann: High Hopes for Cannabis Infused Beverages

By: Ayelet Israeli and Anne V. Wilson
Teaching Note for HBS Case No. 523-074. View Details
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  • April 2023
  • Teaching Note

Roblox: Virtual Commerce in the Metaverse

By: Ayelet Israeli and Nicole Tempest Keller
Teaching Note for HBS Case No. 523-028. View Details
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