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- All HBS Web
(1,446)
- People (3)
- News (234)
- Research (997)
- Events (8)
- Multimedia (4)
- Faculty Publications (442)
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- October 2012
- Article
Target the Right Market
By: Jill Avery and Thomas Steenburgh
SparkPlace is a two-year-old business with a hot new product: software that manages and measures the effectiveness of permission-based marketing campaigns for social media. The company is in the process of deciding on which of two customer segments to focus its... View Details
Keywords: Marketing; Market Segmentation; Customer Defection; Customer Lifetime Value; Customer Relationship Management; CRM; Market Segmentation And Target Market Selection; Marketing Strategy; Product Marketing; Customer Focus and Relationships; Customer Value and Value Chain; Technology Industry; United States
Avery, Jill, and Thomas Steenburgh. "Target the Right Market." Harvard Business Review 90, no. 10 (October 2012): 119–123.
- 2014
- Other Teaching and Training Material
Marketing Reading: Segmentation and Targeting
By: Sunil Gupta
This Reading introduces two of the integral parts of any marketing strategy: segmentation and targeting. It covers, first, all of the methods, techniques, and variables with which a business first uncovers the full range of its potential customers and then... View Details
Keywords: Behavioral Segmentation; Conjoint Analysis; Demographic Segmentation; Geographic Segmentation; Market Opportunities; Market Segmentation; Marketing; Marketing Strategy; Psychographic Segmentation; Unethical Marketing Practices; United States
Gupta, Sunil. "Marketing Reading: Segmentation and Targeting." Core Curriculum Readings Series. Boston: Harvard Business Publishing 8219, 2014.
- 2020
- Working Paper
Targeting for Long-Term Outcomes
By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral
Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we... View Details
Keywords: Targeted Marketing; Optimization; Churn Management; Marketing; Customer Relationship Management; Policy; Learning; Outcome or Result
Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020.
- Article
Targeting Weather Insurance Markets
By: Anita Mukherjee, Shawn Cole and Jeremy Tobacman
The suitability of insurance products often depends greatly on individual circumstances. This paper examines the challenges of heterogeneity in a relatively new product, weather‐indexed insurance. This index insurance product has been launched in over a dozen... View Details
Keywords: Index Insurance; Labor Markets; Self-insurance; Self-protection; Weather; Insurance; Markets; Household; Risk Management
Mukherjee, Anita, Shawn Cole, and Jeremy Tobacman. "Targeting Weather Insurance Markets." Journal of Risk and Insurance 88, no. 3 (September 2021): 757–784.
- September 2005 (Revised April 2006)
- Background Note
Market Segmentation, Target Market Selection, and Positioning
By: Miklos Sarvary and Anita Elberse
Elaborates on the prerequisites for designing a successful marketing strategy: market segmentation, target market selection, and product positioning. View Details
Sarvary, Miklos, and Anita Elberse. "Market Segmentation, Target Market Selection, and Positioning." Harvard Business School Background Note 506-019, September 2005. (Revised April 2006.)
- 07 Aug 2013
- News
Generation Y a tough target for marketers
- 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
- September 2020 (Revised February 2024)
- 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... View Details
- September 2020 (Revised July 2022)
- 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... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
- 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.)
- 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... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- September 2020 (Revised July 2022)
- 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... View Details
Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- 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... View Details
Keywords: Market Entry; New Product Management; Targeting; Disruptive Innovation; Market Entry and Exit; Entrepreneurship; Product; Management; Innovation Strategy; Technology
Ofek, Elie, Olivier Toubia, and Didier Toubia. "HEAD vs. LEAD: Disruptions Originating at the High- vs. Low-End of the Market." Harvard Business School Background Note 521-104, April 2021.
- 2023
- Working Paper
Accountability of Corporate Emissions Reduction Targets
By: Xiaoyan Jiang, Shawn Kim and Shirley Lu
Firms are increasingly announcing targets to reduce their carbon emissions, but it is unclear whether firms are held accountable for these targets. In this paper, we examine emissions targets that ended in 2020 to investigate the prevalence of missed targets, how firms... View Details
Keywords: Carbon Emissions; Corporate Disclosure; Corporate Accountability; Corporate Social Responsibility and Impact; Climate Change
Jiang, Xiaoyan, Shawn Kim, and Shirley Lu. "Accountability of Corporate Emissions Reduction Targets." SSRN Working Paper Series, No. 4676649, December 2023.
- 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
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- September 2023
- Supplement
Design and Evaluation of Targeted Interventions
By: Eva Ascarza
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
- October 2023 (Revised February 2024)
- Technical Note
Design and Evaluation of Targeted Interventions
By: Eva Ascarza and Ta-Wei (David) Huang
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
Keywords: Marketing; Customer Relationship Management; Analysis; Design; Business Strategy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
Ascarza, Eva, and Ta-Wei (David) Huang. "Design and Evaluation of Targeted Interventions." Harvard Business School Technical Note 524-034, October 2023. (Revised February 2024.)
- January 2009 (Revised July 2009)
- Case
Targanta Therapeutics: Hitting a Moving Target
By: Arthur A. Daemmrich
This case explores regulatory, product testing, and business strategy at Targanta Therapeutics, a biotech company preparing its first new drug application to the FDA. In October 2007, Mark Leuchtenberger, president and CEO of Targanta—which has just held a successful... View Details
Keywords: Decision Choices and Conditions; Entrepreneurship; Governing Rules, Regulations, and Reforms; Health Testing and Trials; Product Development; Business and Government Relations; Business Strategy; Biotechnology Industry; Pharmaceutical Industry
Daemmrich, Arthur A. "Targanta Therapeutics: Hitting a Moving Target." Harvard Business School Case 709-002, January 2009. (Revised July 2009.)
- September 2020 (Revised July 2022)
- Supplement
Spreadsheet Supplement to "Artea: Designing Targeting Strategies"
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021). View Details