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Show Results For
- All HBS Web
(258)
- News (28)
- Research (152)
- Events (4)
- Multimedia (7)
- Faculty Publications (151)
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- October 2023 (Revised February 2024)
- Teaching Note
Managing Customer Retention at Teleko
By: Eva Ascarza and Ta-Wei Huang
Teaching Note for HBS Case No. 523-005. View Details
- 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
- 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)
- 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
- 2015
- Case
EPILOGUE: Kate Spade New York: Will Expansion Deepen or Dilute the Brand?
By: Eva Ascarza and Keith Wilcox
- 2015
- Case
Kate Spade New York: Will Expansion Deepen or Dilute the Brand?
By: Keith Wilcox and Eva Ascarza
Wilcox, Keith, and Eva Ascarza. "Kate Spade New York: Will Expansion Deepen or Dilute the Brand?" Columbia CaseWorks Series. 2015.
- August 2016
- Case
VMD Medical Imaging Center
By: Susanna Gallani and Eva Labro
VMD Medical Imaging Center, a local independent provider of medical imaging services, is facing some important challenges. Despite efficiency improvements and cost cutting initiatives carried out over the past few years, their profitability is shrinking; their prices... View Details
Keywords: Costing; Death Spiral; Transfer Pricing; Activity Based Costing and Management; Competitive Strategy; Medical Specialties; Health Industry
Gallani, Susanna, and Eva Labro. "VMD Medical Imaging Center." Harvard Business School Case 117-002, August 2016.
- August 2012
- Teaching Note
Messer Griesheim (A) (Abridged) and (B) (TN)
By: Josh Lerner and Eva Lutz
Teaching Note for 813-018 and 809-057 View Details
- July–August 2013
- Article
A Joint Model of Usage and Churn in Contractual Settings
By: Eva Ascarza and Bruce G.S. Hardie
As firms become more customer-centric, concepts such as customer equity come to the fore. Any serious attempt to quantify customer equity requires modeling techniques that can provide accurate multiperiod forecasts of customer behavior. Although a number of researchers... View Details
Keywords: Churn; Retention; Contractual Settings; Access Services; Hidden Markov Models; RFM; Latent Variable Models; Customer Value and Value Chain; Consumer Behavior
Ascarza, Eva, and Bruce G.S. Hardie. "A Joint Model of Usage and Churn in Contractual Settings." Marketing Science 32, no. 4 (July–August 2013): 570–590.
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- 02 Oct 2012
- First Look
First Look: October 2
Evidence from a Field Experiment Authors: Kevin Boudreau, Tom Brady, Ina Ganguli, Patrick Gaule, Eva Guinan, Karim Lakhani, and Tony Hollenberg Abstract We present the results of a field experiment conducted within the Harvard Medical... View Details
Keywords: Sean Silverthorne
- September 2020 (Revised July 2022)
- 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... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- June 2020 (Revised July 2023)
- Case
Time Out: The Evolution from Media to Markets
By: Kate Barasz and Eva Ascarza
In February 2020, Time Out’s chief executive officer Julio Bruno is evaluating the strategic direction of the company. Over the span of five decades, Time Out — the global media and entertainment brand — had gone from a self-published counterculture publication in... View Details
Keywords: Branding; Media Businesses; Hospitality; Hospitality Industry; Digital; Brands and Branding; Media; Marketing; Marketing Strategy; Organizational Change and Adaptation; Strategy; Media and Broadcasting Industry; Food and Beverage Industry; United Kingdom; United States
Barasz, Kate, and Eva Ascarza. "Time Out: The Evolution from Media to Markets." Harvard Business School Case 520-128, June 2020. (Revised July 2023.)
- 2015
- Teaching Note
Kate Spade New York: Will Expansion Deepen or Dilute the Brand? Teaching Note
By: Eva Ascarza and Keith Wilcox
- August 2016 (Revised June 2018)
- Teaching Note
VMD Medical Imaging Center
By: Susanna Gallani and Eva Labro
VMD Medical Imaging Center addresses a number of issues related to the role of costing systems in organizations and the challenges impacting their design and maintenance as the organization grows and develops over time. This teaching note begins by offering detailed... 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.)
- 13 Apr 2016
- Research Event
What Does 'Diversity' Really Mean?
a beauty feature on the needs of women with different types of skin, showcasing a range of actresses of different backgrounds with large close-up shots. Holmes began to throw out some names, including Eva Mendes, Lucy Liu, and Alfre... View Details
Keywords: by Dina Gerdeman
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal... View Details
Keywords: Ride-sharing; Routine; Machine Learning; Customer Relationship Management; Consumer Behavior; Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- 2023
- Working Paper
Personalized Game Design for Improved User Retention and Monetization in Freemium Games
By: Eva Ascarza, Oded Netzer and Julian Runge
One of the most crucial aspects and significant levers that gaming companies possess in designing
digital games is setting the level of difficulty, which essentially regulates the user’s ability to
progress within the game. This aspect is particularly significant in... View Details
Keywords: Freemium; Retention/churn; Field Experiment; Field Experiments; Gaming; Gaming Industry; Mobile App; Mobile App Industry; Monetization; Monetization Strategy; Games, Gaming, and Gambling; Mobile and Wireless Technology; Customers; Retention; Product Design; Strategy
Ascarza, Eva, Oded Netzer, and Julian Runge. "Personalized Game Design for Improved User Retention and Monetization in Freemium Games." Harvard Business School Working Paper, No. 21-062, November 2020. (Revised December 2023.)
- Article
When Talk Is "Free": The Effect of Tariff Structure on Usage Under Two- and Three-Part Tariffs
By: Eva Ascarza, Anja Lambrecht and Naufel Vilcassim
In many service industries, firms introduce three-part tariffs to replace or complement existing two-part tariffs. In contrast with two-part tariffs, three-part tariffs offer allowances, or “free” units of the service. Behavioral research suggests that the attributes... View Details
Keywords: Pricing; Nonlinear Pricing; Discrete/continuous Choice Model; Three-part Tariffs; Uncertainty; Learning; Free Products; Price; Consumer Behavior; Analysis
Ascarza, Eva, Anja Lambrecht, and Naufel Vilcassim. When Talk Is "Free": The Effect of Tariff Structure on Usage Under Two- and Three-Part Tariffs. Journal of Marketing Research (JMR) 49, no. 6 (December 2012): 882–900.