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- All HBS Web
(1,518)
- News (280)
- Research (1,050)
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- Faculty Publications (403)
- Web
Managing Customers for Growth - Course Catalog
assessing customer lifetime value (LTV), customer-base analysis, and cohort dynamics to inform strategic decision-making. 2. Leveraging Data for Customer Growth: The course... View Details
- 01 Apr 2024
- In Practice
Navigating the Mood of Customers Weary of Price Hikes
the Digital, Data, and Design Institute. Chiara Farronato: Dig into data to find regional and product differences When I think of prices, I think of data, lots of data. We often look at aggregate price data, which recently have been... View Details
- 21 Jul 2003
- Research & Ideas
Don’t Get Buried in Customer Data—Use It
on," says Harvard Business School marketing professor Gerald Zaltman. A more strategic approach to data mining can provide the foundation for that decision-making architecture. Below, advice on how to use information about the... View Details
Keywords: by Jean Ayers
Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business
When Google bought Nest, a maker of digital thermostats, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are spreading across even the most traditional industrial segments and creating a staggering array... View Details
- 21 Aug 2017
- Lessons from the Classroom
Companies Love Big Data But Lack the Strategy To Use It Effectively
brands goes to digital media. What happens when products with sensors generate such volumes of customer experience data that advertising may be a less significant factor?” Jeff Polzer, of the Organizational... View Details
Keywords: by Dina Gerdeman
- April 2023
- Technical Note
An Art & A Science: How to Apply Design Thinking to Data Science Challenges
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
- 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
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 24 Oct 2023
- Research & Ideas
When Tech Platforms Identify Black-Owned Businesses, White Customers Buy
backfiring,” Luca notes. Customers seek out Black-owned restaurants For the study, Yelp and Wayfair provided data on their platforms and programs. On Yelp, this included information about platform page... View Details
- May–June 2023
- Article
Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail
By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
The impact of delays has been widely studied in various offline services. The focus of this study is online services, and we explore the impact of in-process delays—measured by website speed—on customer behavior. We leverage novel retail and website speed data to... View Details
Keywords: Online Retail; Quasi-experiments; Abandonment; Synthetic Control; E-commerce; Internet and the Web; Consumer Behavior; Policy; Retail Industry
Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Need for Speed: The Impact of In-Process Delays on Customer Behavior in Online Retail." Operations Research 71, no. 3 (May–June 2023): 876–894.
- 22 Feb 2021
- Book
Reaching Today's Omnichannel Customer Takes a New Sales Strategy
components: actionable customer selection criteria (because resources spent on accounts A and B are not available for accounts C, D, and so on); clarity about the buying process for target customers as it... View Details
Keywords: by Kristen Senz
- Web
Online Transforming Customer Experiences Course | HBS Online
Aranzazú Martínez Galeana Senior Project Coordinator, Social Performance Division at ERM Read more learner stories * Source: 2022 surveys and course data All FAQs Transforming Customer Experiences FAQs What... View Details
- 05 Jun 2019
- Research & Ideas
If Your Customers Don't Care What You Charge, What Should You Charge?
An estimated 60 percent of retail gasoline customers return to the same gas station to refuel, without comparison shopping, according to a recent study. Driven by factors such as habit, brand loyalty, switching costs, and search (which... View Details
- January 2008
- Teaching Note
Pilgrim Bank (A): Statistics Review with Data Desk
By: Frances X. Frei
Teaching Note for 602104. View Details
- Fast Answer
Government data and information sources for public entrepreneurship
demographics. PolicyMap captures View Details
- 02 Apr 2015
- Research & Ideas
Digital Initiative Summit: Freeing Patient Data to Enable Innovation
Patients are not actually the customers in the United States health care system, a fact largely to blame for the dearth of communication and data sharing between providers, according to experts at a recent... View Details
- 27 Feb 2024
- Research & Ideas
Why Companies Should Share Their DEI Data (Even When It’s Unflattering)
products. “At the moment, many companies aren’t disclosing data on their workforce diversity,” Nam explains. “Simply disclosing this information is enough to improve customer attitudes.” The research comes... View Details
Keywords: by Shalene Gupta
- 1991
- Article
Job Satisfaction, Service Capability and Customer Satisfaction: An Examination of Linkages and Management Implications
By: Leonard A. Schlesinger and Jeffrey Zornitsky
Survey data from 1,277 employees and 4,269 customers of a personal lines insurance organization were analyzed with the following results: (a) employee perceptions of service quality are positively related to both job satisfaction and self-perceived service capability;... View Details
Schlesinger, Leonard A., and Jeffrey Zornitsky. "Job Satisfaction, Service Capability and Customer Satisfaction: An Examination of Linkages and Management Implications." Human Resource Planning 14, no. 2 (1991): 141–149.
- Article
How Direct-to-Consumer Brands Can Continue to Grow
By: V. Kasturi Rangan, Daniel Corsten, Matt Higgins and Leonard A. Schlesinger
Direct-to-consumer (DTC) brands such as Allbirds, Casper, Peloton, and Warby Parker have creatively found a weakness in the marketing citadel of incumbent brands. By using data gleaned from daily interactions with customers, these brands have been able to adapt how... View Details
Keywords: Direct-to-consumer; Customer Journey; Business Model; Customer Relationship Management; Growth and Development Strategy
Rangan, V. Kasturi, Daniel Corsten, Matt Higgins, and Leonard A. Schlesinger. "How Direct-to-Consumer Brands Can Continue to Grow." Harvard Business Review 99, no. 6 (November–December 2021): 101–109.
- 22 Feb 2024
- Research & Ideas
How to Make AI 'Forget' All the Private Data It Shouldn't Have
They already offer fine tuning and customization of models through their application programming interfaces. This will also help facilitate more high-risk use cases in areas like health care and financial services, where you might have... View Details