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SparkPlace is a two-year-old business with a hot new product: software that manages and measures the effectiveness of permission-based marketing...
This Reading introduces two of the integral parts of any marketing strategy: segmentation and targeting. It covers, first, all of the methods,...
- July–August 2021
- Article
SPACs: What You Need to Know
By: Max Bazerman and Paresh Patel
Special purpose acquisition companies, or SPACs, have been around in various forms for decades, but during the past two years they’ve taken off in the United States. In 2019, 59 were created, with $13 billion invested; in 2020, 247 were created, with $80 billion...
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- June 2021
- Case
Modern Endowment Management: Paula Volent and the Bowdoin Endowment
By: Luis M. Viceira, Emily R. McComb and Dean Xu
This case examines modern endowment investment management through the lens of a leadership transition between Chief Investment Officers (CIOs). In March 2021, Paula Volent is about to step down as the CIO of the endowment of Bowdoin College after twenty-one years, and...
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- 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...
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Keywords:
Customer Retention;
Churn;
Targeting;
Market Research;
Marketing;
Investment Return;
Customers;
Retention;
Research
- 2021
- Working Paper
Public Entrepreneurial Finance around the Globe
By: Jessica Bai, Shai Bernstein, Abhishek Dev and Josh Lerner
This paper examines how government funding programs geared towards early-stage companies interact with private capital markets. Using hand-collected data on 755 government programs worldwide, we find that governments’ allocations to such funding programs have been...
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- April 2021
- Background Note
HEAD vs. LEAD: Disruptions Originating at the High- vs. Low-End of the Market
By: Elie Ofek, Olivier Toubia and Didier Toubia
Twenty five years after it was initially proposed, Clay Christensen’s theory of disruptive innovation continues to be a major reference for entrepreneurs, corporate innovators, and investors. However, the term “disruptive innovation” is often used in ways and contexts...
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- April 2021
- Case
ClearChoice Dental Implant Centers
By: Robert S. Kaplan, Ashiana Jivraj and Jane Barrow
The case illustrates the application of value-based health care to dental medicine. ClearChoice Dental Implant Centers was a rapidly-growing network of dentist-owned independent implant clinics. The targeted market included 23 million people, 15% of the US adult...
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- April 2021
- Case
Borusan CAT: Monetizing Prediction in the Age of AI (A)
By: Navid Mojir and Gamze Yucaoglu
Borusan Cat is an international distributor of Caterpillar heavy machines. Esra Durgun (Director of Strategy, Digitization, and Innovation) and Ozgur Gunaydin (CEO) seem to have bet their careers on developing Muneccim, a new predictive technology that is designed to...
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- 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...
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- March 2021 (Revised July 2021)
- Case
Resident
By: Jeffrey F. Rayport and Thomas O. Jones
Launched in 2016, Resident was a leading player in the direct-to-consumer bed-in-a-box mattress market, where it was one of at least 175 venture-backed companies competing in the space. By late 2020, it had realized over $500 million in revenue, profitability in the...
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- February 2021
- Case
White Claw: Defending Market Share as Competition Encroaches
By: Jill Avery
By the end of 2019, two brands accounted for 84% of hard seltzer sales, a segment that had recently taken the U.S. beer market by storm, growing from $3 million in 2015 to over $2.7 billion by the start of the summer of 2020. White Claw was the dominant market leader...
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Keywords:
Brand Management;
Alcoholic Beverages;
Beer/brewing Industry;
Brand Positioning;
Growth;
Competitive Positioning;
Consumer Products;
Beverage Industry;
Value Proposition;
Marketing;
Brands and Branding;
Competition;
Product Positioning;
Competitive Strategy;
Consumer Behavior;
Consumer Products Industry;
Food and Beverage Industry;
United States
- 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...
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Keywords:
Data Analytics;
Data Privacy;
Data Management;
＂Marketing Analytics＂;
Marketing Communication;
Marketing Research;
Data-driven Management;
E-commerce;
E-Commerce Strategy;
Ethical Decision Making;
CRM;
Consumer Protection;
Targeted Advertising;
Targeted Policies;
Data Ownership;
Marketing;
Research;
Marketing Communications;
Data and Data Sets;
Management;
Customer Relationship Management;
Ethics;
Retail Industry;
Technology Industry;
United States
- December 2020
- Case
Château Margaux: Serving Up the Third Wine
By: Elie Ofek
In fall 2019, Corinne Mentzelopoulos, owner of the famous first-growth Château Margaux, is pondering a series of decisions with respect to the chateau's third wine. Margaux du Château Marguax, as this wine was called, was launched in 2013 with a particular goal in mind...
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- November 2020
- Teaching Note
DayTwo: Going to Market with Gut Microbiome
By: Ayelet Israeli
Teaching Note for HBS Case No. 519-010. 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....
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Keywords:
Start-up Growth;
Startup;
Positioning;
Targeting;
Go To Market Strategy;
B2B Vs. B2C;
B2B2C;
Health ＆ Wellness;
AI;
Machine Learning;
Female Ceo;
Female Protagonist;
Science-based;
Science And Technology Studies;
Ecommerce;
Applications;
DTC;
Direct To Consumer Marketing;
US Health Care;
＂USA,＂;
Innovation;
Pricing;
Business Growth;
Segmentation;
Distribution Channels;
Growth and Development Strategy;
Business Startups;
Science-Based Business;
Health;
Innovation and Invention;
Marketing;
Technology;
Business Growth and Maturation;
Health Industry;
Technology Industry;
Insurance Industry;
Information Technology Industry;
Food and Beverage Industry;
Israel;
United States
- September 2020
- 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...
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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;
E-commerce;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Data and Data Sets;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020 (Revised December 2020)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
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...
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- September 2020 (Revised April 2021)
- Exercise
Artea (B): Including Customer-level Demographic Data
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...
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- September 2020 (Revised April 2021)
- Exercise
Artea (C): Potential Discrimination through Algorithmic 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...
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- September 2020 (Revised March 2021)
- 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...
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- 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;
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;
Retail Industry;
Apparel and Accessories Industry;
United States
- September 2020
- Case
Building India's 2.0: PayNearby
By: Lauren Cohen and Spencer C. N. Hagist
Headquartered in Mumbai, India, FinTech startup Nearby Technologies has seen its flagship brand, PayNearby, rapidly flourish across most of its target market within just four years. The unprecedented success of its payment app, which allows users to access banking...
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