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Show Results For
- All HBS Web
(5,019)
- People (2)
- News (872)
- Research (3,663)
- Events (33)
- Multimedia (42)
- Faculty Publications (2,558)
- 2021
- Case
NiPay's Pricing Conundrum
By: Marco Bertini and Oded Koenigsberg
NiPay is a software provider competing in the Nigerian business-to-business payments market. Founded by Idaku Ibrahim nearly 20 years ago, NiPay sells two products to retailers and other merchants, which enable individual shoppers to transact either online or via a... View Details
Bertini, Marco, and Oded Koenigsberg. "NiPay's Pricing Conundrum." London Business School Case, 2021. Electronic.
- July 2024 (Revised July 2024)
- Case
Dynamic Pricing at Wendy’s: Where’s the Beef?
By: Elie Ofek, Alicia Dadlani and Martha Hostetter
In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)
- Article
Online and Official Price Indexes: Measuring Argentina's Inflation
By: Alberto Cavallo
Prices collected from online retailers can be used to construct daily price indexes that complement official statistics. This paper studies their ability to match official inflation estimates in five Latin American countries, with a focus on Argentina, where official... View Details
Keywords: Inflation; Online Price Index; Economics; Macroeconomics; Inflation and Deflation; Price; Latin America; Argentina
Cavallo, Alberto. "Online and Official Price Indexes: Measuring Argentina's Inflation." Journal of Monetary Economics 60, no. 2 (March 2013): 152–165.
- November 2016 (Revised April 2017)
- Case
Basecamp: Pricing
By: Frank Cespedes and Robb Fitzsimmons
A data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture’s latest version of its project management software product. View Details
Keywords: Pricing; Entrepreneurial Management; Data Analysis; Marketing; Customer Acquisition; Customer Retention; Value Proposition; Sales Management; Product Management; Market Research; Life Time Value; Testing; Entrepreneurship; Analytics and Data Science; Customers; Value; Sales; Product Marketing; United States
Cespedes, Frank, and Robb Fitzsimmons. "Basecamp: Pricing." Harvard Business School Case 817-067, November 2016. (Revised April 2017.)
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
- 2013
- Tool
Harvard Business Review's Go to Market Tools: Pricing for Profit
By: Thomas Steenburgh and Jill Avery
What price is right? Figuring out the best price for your product or service can be nerve-wracking. Your new product launch or marketing campaign's success—perhaps even your career advancement—may hinge on the price you choose. So how do you select a price that's... View Details
Keywords: Quantitative Analysis; Tools; Pricing; Profitability Analysis; Pricing Strategy; Marketing Strategy; Marketing
Steenburgh, Thomas, and Jill Avery. Harvard Business Review's Go to Market Tools: Pricing for Profit. Tool. Harvard Business Review Press, 2013. Electronic.
- 8 Jun 2015
- Talk
How Prices Really Affect Consumers
By: Shelle Santana
Santana, Shelle. "How Prices Really Affect Consumers." Harvard Club of New York City, New York, NY, June 8, 2015.
- 2024
- Working Paper
Adjusting Prices in the Long-tail: The Role of Competitive Monitoring
By: Ayelet Israeli and Eric Anderson
Most e-commerce retailers offer a long-tail of very low demand products. Individually, these items may have low sales but collectively they are critical to the overall e-commerce business model. Because of their minimal sales, pricing is a constant challenge. The... View Details
- January 2019
- Teaching Note
Pricing PatientPing
Teaching Note for HBS No. 818-017. PatientPing sells a software platform that allows health care providers to receive real-time notifications (“pings”) when one of their patients is admitted to or discharged from a health-care facility. The platform facilitates... View Details
- May 2018
- Article
Using Online Prices for Measuring Real Consumption Across Countries
By: Alberto Cavallo, Erwin Diewert, Robert C. Feenstra, Robert Inklaar and Marcel P. Timmer
We show that online prices can be used to construct quarterly purchasing power parities (PPPs) with a closely matched set of goods and identical methodologies in a variety of developed and developing countries. Our results are close to those reported by the... View Details
Keywords: Purchasing Power Parity; International Economy; Online Prices; Billion Prices Project; Economics; Macroeconomics; Price; Internet and the Web; Spending; Economy; Global Range; Measurement and Metrics
Cavallo, Alberto, Erwin Diewert, Robert C. Feenstra, Robert Inklaar, and Marcel P. Timmer. "Using Online Prices for Measuring Real Consumption Across Countries." AEA Papers and Proceedings 108 (May 2018): 483–487.
- 2015
- Working Paper
Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy
By: Pavel Kireyev, Vineet Kumar and Elie Ofek
Multichannel retailing has created several new strategic choices for firms. With respect to pricing, an important decision is whether to offer a "self-matching policy." Self-matching allows a multichannel retailer to offer the lowest of its online and in-store prices... View Details
Keywords: Price Self-matching; Multichannel Retailing; Pricing Strategy; Marketing Strategy; Price; Distribution Channels; Supply and Industry; Retail Industry
Kireyev, Pavel, Vineet Kumar, and Elie Ofek. "Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy." Harvard Business School Working Paper, No. 15-058, January 2015.
- Winter 2021
- Article
Mobile Internet Usage and Usage-based Pricing
By: Jeffrey Prince and Shane Greenstein
Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the... View Details
Keywords: Mobile Internet Usage; Pricing Strategy; Internet and the Web; Mobile and Wireless Technology; Demographics; Income; Price; Strategy
Prince, Jeffrey, and Shane Greenstein. "Mobile Internet Usage and Usage-based Pricing." Journal of Economics & Management Strategy 30, no. 4 (Winter 2021): 760–783.
- May 2021
- Teaching Note
American Airlines' Value Pricing (Abridged)
By: Sunil Gupta and Alvin J. Silk
Teaching Note for HBS Case No. 519-019. View Details
- Article
The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand
By: Marco Bertini and Oded Koenigsberg
More and more companies are relying on pricing algorithms to maximize profits. The use of artificial intelligence and machine learning enables real-time price adjustments based on supply and demand, competitors’ activities, delivery schedules, and so forth. But... View Details
Keywords: Algorithmic Pricing; Dynamic Pricing; Price; Change; Information Technology; Brands and Branding; Perception; Consumer Behavior
Bertini, Marco, and Oded Koenigsberg. "The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand." Harvard Business Review 99, no. 5 (September–October 2021): 74–83.
- 2015
- Government Testimony
Price Coherence in Online Platforms — Impact and Responses
By: Benjamin Edelman and Julian Wright
We examine the role of price coherence in shaping market structure and offer policy recommendations to advance both efficiency and equity. View Details
Keywords: Price Coherence; Price Parity; MFN; Distribution Channels; Market Design; Travel Industry; Financial Services Industry
Edelman, Benjamin, and Julian Wright. "Price Coherence in Online Platforms — Impact and Responses." Government Testimony, October 2015 (For the House of Lords inquiry into Online Platforms and the EU Digital Single Market.)
- January 2015
- Article
X-CAPM: An Extrapolative Capital Asset Pricing Model
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
Survey evidence suggests that many investors form beliefs about future stock market returns by extrapolating past returns. Such beliefs are hard to reconcile with existing models of the aggregate stock market. We study a consumption-based asset pricing model in which... View Details
Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "X-CAPM: An Extrapolative Capital Asset Pricing Model." Journal of Financial Economics 115, no. 1 (January 2015): 1–24.
- Article
Motivated Inferences of Price and Quality in Healthcare Decisions
By: Emily Prinsloo, Kate Barasz and Peter A. Ubel
Policy makers have increasingly advocated for healthcare price transparency, whereby prices are made salient before services are rendered. While such policies may empower consumers, they also bring price to the forefront of healthcare choices as never before, with yet... View Details
Keywords: Healthcare; Price Transparency; Health Care and Treatment; Price; Quality; Perception; Consumer Behavior; Decisions; Insurance
Prinsloo, Emily, Kate Barasz, and Peter A. Ubel. "Motivated Inferences of Price and Quality in Healthcare Decisions." Special Issue on Healthcare and Medical Decision Making edited by Dipankar Chakravarti, Jian Ni, Meng Zhu. Journal of the Association for Consumer Research 7, no. 2 (April 2022): 186–197.
- Article
Are Online and Offline Prices Similar? Evidence from Large Multi-Channel Retailers
By: Alberto Cavallo
Online prices are increasingly used for measurement and research applications, yet little is known about their relation to prices in physical stores, where most retail transactions occur. I conduct the first large-scale comparison of prices simultaneously collected... View Details
Keywords: Online Prices; Offline Prices; Multi-channel Retailers; Price; Internet and the Web; Measurement and Metrics; Retail Industry
Cavallo, Alberto. "Are Online and Offline Prices Similar? Evidence from Large Multi-Channel Retailers." American Economic Review 107, no. 1 (January 2017): 283–303.
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy