Customer Base Analysis - Publications - Faculty & Research - Harvard Business School

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June 2015 (Revised September 2017)
Supplement

Generating Higher Value at IBM

By: Benjamin C. Esty and Scott Mayfield

This case analyzes IBM's financial performance and its capital allocation decisions over a 10-year period from 2004-2013, during which IBM returned more than $140B to shareholders through a combination of dividends and share repurchases. During this time, CEO Sam... View Details

Keywords: Dividends; Share Repurchases; Earnings Guidance; Financial Statement Analysis; Financial Ratios; Payout Policy; Earnings Per Share (EPS); Earnings Management; Change Management; Leadership; Transformation; Financial Strategy

May 2015 (Revised September 2017)
Case

Generating Higher Value at IBM (A)

By: Benjamin C. Esty and E. Scott Mayfield

This case analyzes IBM's financial performance and its capital allocation decisions over a 10-year period from 2004-2013, during which IBM returned more than $140B to shareholders through a combination of dividends and share repurchases. During this time, CEO Sam... View Details

Keywords: Dividends; Share Repurchases; Earnings Guidance; Financial Statement Analysis; Financial Ratios; Payout Policy; Earnings Per Share (EPS); Earnings Management; Change Management; Leadership; Transformation; Financial Strategy

June 2015
Supplement

Generating Higher Value at IBM (A): EPS Forecasting Model

By: Benjamin C. Esty and Scott Mayfield

This case analyzes IBM's financial performance and its capital allocation decisions over a 10-year period from 2004-2013, during which IBM returned more than $140B to shareholders through a combination of dividends and share repurchases. During this time, CEO Sam... View Details

Keywords: Dividends; Share Repurchases; Earnings Guidance; Financial Statement Analysis; Financial Ratios; Payout Policy; Earnings Per Share (EPS); Earnings Management; Change Management; Leadership; Transformation; Financial Strategy

January 2015 (Revised October 2016)
Case

onefinestay: Building a Luxury Experience in the Sharing Economy

By: Jill Avery, Anat Keinan and Liz Kind

onefinestay was a two-sided marketplace that offered high-end home rentals to travelers who sought a more authentic and local experience than a typical upscale hotel might provide. After five years of rapid growth, it was time to do a comprehensive analysis of the... View Details

2009
Chapter

Nonlinear Pricing

By: Raghuram Iyengar and Sunil Gupta

A nonlinear pricing schedule refers to any pricing structure where the total charges payable by customers are not proportional to the quantity of their consumed services. We begin the chapter with a discussion of the broad applicability of nonlinear pricing schemes. We... View Details

Keywords: Price; Demand and Consumers; Duopoly and Oligopoly; Monopoly; Service Operations; Research

August 2019
Case

The United States and Russia: Gas Rivals in Europe?

By: Rawi Abdelal, Galit Goldstein and Paul Apostolicas

Though the shale revolution transformed the U.S. into the largest producer of petroleum products, it was unclear how much success American exporters would find selling liquefied natural gas on the European energy market. Gazprom, the state-controlled Russian energy... View Details

August 2001 (Revised February 2005)
Case

Dakota Office Products

By: Robert S. Kaplan

The senior management team of Dakota, an office products distributor, is concerned about the company's first loss in history. Explores the role for activity based costing and customer profitability measurement in a distribution company. Dakota's customers are... View Details

Keywords: Activity Based Costing and Management; Order Taking and Fulfillment; Profit; Distribution; Customers; Distribution Industry

May–June 2023
Article

Unmasking Behaviors During the Pandemic with Video Analytics

By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan

In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors.... View Details

Keywords: COVID-19 Pandemic; Social Influence; Social Norms; Health Pandemics; Behavior

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2021
Book

The Power of Trust: How Companies Build It, Lose It, Regain It

By: Sandra J. Sucher and Shalene Gupta

Trust is the most powerful force underlying the success of every business. Yet it can be shattered in an instant, with a devastating impact on a company’s market cap and reputation. How to build and sustain trust requires fresh insight into why customers, employees,... View Details

April 2014 (Revised March 2015)
Case

GE and the Industrial Internet

By: Karim R. Lakhani, Marco Iansiti and Kerry Herman

CEO Jeff Immelt considers whether GE is moving fast enough on its new Industrial Internet initiative. The undertaking includes building out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients... View Details

August 2023
Case

Beamery: Using Skills and AI to Modernize HR

By: Boris Groysberg, Alexis Lefort, Susan Pinckney and Carolina Bartunek

Unicorn human relationships startup Beamery evaluates it's growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management industry View Details

2019
Working Paper

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

September–October 2020
Article

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

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March 1987 (Revised April 1987)
Background Note

Specialties vs. Commodities: The Battle for Profit Margins

By: Benson P. Shapiro

Explains the differences between commodities and specialties and defines four different types of specialty products. The analysis is customer oriented. Special attention is given to the distinctions between functions (product- ) and relationship (vendor-oriented)... View Details

Keywords: Goods and Commodities

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March 1995 (Revised April 1997)
Case

Co-operative Bank, The

By: Robert S. Kaplan and Srikant M. Datar

A British bank with strong roots in the cooperative movement encounters declining profitability in an increasingly competitive and deregulated financial services industry. It attempts to grow by broadening its customer base and increasing the range of products and... View Details

Keywords: Product; Competition; Expansion; Cost Management; Activity Based Costing and Management; Profit; Banking Industry; Financial Services Industry

April 2008 (Revised October 2008)
Case

TD Canada Trust (A): The Green and the Red

By: Dennis Campbell and Brent Kazan

The case series illustrates the role of performance measurement and analytics in translating TD-Canada Trust's service model of "comfortable banking" into operational terms. In 2000, in a banking market where consumers and regulators were typically hostile to mergers... View Details

Keywords: Mergers and Acquisitions; Customer Focus and Relationships; Customer Satisfaction; Commercial Banking; Profit; Balanced Scorecard; Organizational Change and Adaptation; Banking Industry; Canada

June 2011 (Revised May 2012)
Case

L'Oréal: Global Brand, Local Knowledge

By: Rebecca M. Henderson and Ryan Johnson

Worldwide, and in the U.S. marketplace in particular, the French cachet of L'Oréal was one of its most powerful marketing tools. However, with the opening up of emerging markets, L'Oréal had to cater to a diverse customer base: an aging population in the West, ethnic... View Details

Keywords: Globalization; Brands and Branding; Marketing Communications; Change Management; Sales; Emerging Markets; Segmentation; Innovation and Invention; Beauty and Cosmetics Industry; France; United States

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

August 2021 (Revised February 2024)
Case

Data Science at the Warriors

By: Iavor I. Bojinov and Michael Parzen

The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details

Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; 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

Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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