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    • All HBS Web  (14)
      • Faculty Publications  (11)

      "Marketing Analytics" Remove "Marketing Analytics" →

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      • May 2021 (Revised February 2022)
      • Teaching Note

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Ayelet Israeli and Jill Avery
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...  View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2022.)
      • January 2021 (Revised March 2021)
      • Case

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Jill Avery, Ayelet Israeli and Emma von Maur
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...  View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
      • January 2021 (Revised May 2021)
      • Case

      Amazon Shopper Panel: Paying Customers for Their Data

      By: Eva Ascarza and Ayelet Israeli
      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
      Keywords: Data Analytics; Data Privacy; Data Management; "Marketing Analytics"; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Retail Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
      • 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; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
      • September 2020 (Revised April 2021)
      • 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; 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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      Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised April 2021.)
      • 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; Fashion Industry; Apparel and Accessories Industry; United States; North America
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      Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Teaching Note 518-053, November 2017.
      • October 2016 (Revised April 2018)
      • Case

      DataXu: Selling Ad Tech

      By: Frank V. Cespedes, John Deighton, Lisa Cox and Olivia Hull
      DataXu served marketers by buying digital advertising for brands using its demand-side platform. It sought a way to build a more predictable revenue stream in the very transactional media marketplace, and hoped that two new marketing analytics products would give it a...  View Details
      Keywords: Sales Management; Pricing; Programmatic Ad Buying; "Marketing Analytics"; Advertising Technology; Sales; Digital Marketing; Marketing Strategy; Advertising Campaigns; Product Launch; Product Positioning; Media; Technology Industry; Advertising Industry; Boston; Massachusetts
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      Cespedes, Frank V., John Deighton, Lisa Cox, and Olivia Hull. "DataXu: Selling Ad Tech." Harvard Business School Case 817-012, October 2016. (Revised April 2018.)
      • May 2016 (Revised April 2019)
      • Case

      Legendary Entertainment: Moneyball for Motion Pictures

      By: John A. Deighton and Leora Kornfeld
      Legendary, the Hollywood studio responsible for such hits as Jurassic World and The Dark Knight, decides to take the marketing of its films in-house, and to market them fan-by-fan. Owner Thomas Tull acquires the big-data-in-sports firm started by Matt Marolda and...  View Details
      Keywords: "Marketing Analytics"; Marketing Strategy; Decision Making; Motion Pictures and Video Industry; Entertainment and Recreation Industry
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      Deighton, John A., and Leora Kornfeld. "Legendary Entertainment: Moneyball for Motion Pictures." Harvard Business School Case 516-117, May 2016. (Revised April 2019.)
      • July 2010 (Revised January 2017)
      • Background Note

      Marketing Analysis Toolkit: Customer Lifetime Value Analysis

      By: Thomas Steenburgh and Jill Avery
      Customers are increasingly being viewed as assets that bring value to the firm. Customer lifetime value is a metric that allows managers to understand the overall value of their customer base and relate it to three customer strategies firms employ: asset...  View Details
      Keywords: Customer Lifetime Value; Return On Investment; Customer Acquisition; Customer Retention; Customer Churn; "Marketing Analytics"; Marketing; Customer Relationship Management; Customer Focus and Relationships; Customer Value and Value Chain; Management Analysis, Tools, and Techniques; Marketing Strategy; Measurement and Metrics; Strategic Planning; Value
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      Steenburgh, Thomas, and Jill Avery. "Marketing Analysis Toolkit: Customer Lifetime Value Analysis." Harvard Business School Background Note 511-029, July 2010. (Revised January 2017.)
      • Teaching Interest

      Overview

      By: Jeffrey F. Rayport
      Technology Entrepreneurship, Marketing Strategy, Service Management  View Details
      Keywords: Technological Innovation; Strategy Formulation; "Marketing Analytics"; Advertising Technology; Media Content; Media And Broadcasting Industry; Media Businesses; Technology Industry; Retail Industry; Consumer Products Industry; Electronics Industry
      • Research Summary

      Overview

      By: Jeffrey F. Rayport
      Rayport focuses his teaching and research on launching and scaling technology ventures, with emphasis on digital media, e-commerce, and multi-channel retail.  View Details
      Keywords: Entrepreneurial Management; Digital Marketing; Digital Innovation; Digital Media; E-commerce; E-Commerce Strategy; "Marketing Analytics"; Advertising Technology; Technology Entrepreneurship; Entrepreneurship; Technological Innovation; Marketing Strategy; Service Operations; Technology Industry; Retail Industry; Media and Broadcasting Industry; Consumer Products Industry; United States; European Union; China
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