Case studies

Executives at this Internet-based company evaluate the results of a pricing survey to decide what changes to make, if any, to the annual fee charged for the company’s junk mail elimination services. Founded in 1996, Adios Junk Mail provides comprehensive elimination of unwanted direct-marketing solicitations. Clients select what types of direct marketing they want stopped. Once a month, the company generates a list of customers and their elimination preferences. It then mails the list to direct-mail companies, telemarketers, and database companies, requesting that the customers’ names be suppressed.

This case is intended to be part of a first-year MBA marketing course, or a second-year elective in advertising, integrated marketing communications, market research, or marketing analytics. The case provides students with examples of two real advertising experiments and the challenges involved in executing the experiments. It allows for a discussion of the need for advertising experiments, and also, at a more general level, the need to measure the return on marketing. Biases surrounding the field experiments allow for a discussion of the problems with establishing a causal relationship between advertising and sales.

Set in 1999, this case allows students to put themselves in the positions of both Airbus and Boeing as Boeing considered how to respond to Airbus's decision to announce its plans to proceed or not with the $10 billion development of the world's first commercial superjumbo jet, the Airbus A3XX. Boeing was considering a development effort to “stretch” its 747 jumbo jet into a larger superjumbo version, the 747-X. At the time, the two companies’ widely available 20-year forecasts for jumbo- and superjumbo-jet demand were particularly divergent. In light of this very public “agreement to disagree,” Boeing could pursue several alternatives, all of which were related to Airbus's decision about whether or not to develop the A3XX. This case presents an opportunity for students to make a real downstream decision. It was prepared as a final exam for an introductory decision analysis course involving subjective probability assessment, decision tree modeling, simulation, real options, and game theory. In the analysis of this case, a student is expected to utilize ideas from all five of these areas.

Madison Kryswada, director of alumni relationships at State University, assembled a 123-school data set to explore, in her words, “the drivers of alumni giving rate. ” The alumni giving rate contributed 5% to the increasingly important U.S. News & World Report rankings of U.S. colleges and universities. Wanting to understand the relationship between this variable and school characteristics, Kryswada gave her assistant a list of four well-formed questions to answer.

A product manager at Apple examines the past, present, and future of the PC industry in September 2011 in the wake of Steve Jobs's resignation and HP's announcement that it was exiting the PC industry in favor of enterprise software solutions and consulting. The protagonist thinks through current forces in the PC industry, including market share trends, mobile computing, ultrabooks, and cloud computing services—as well as the position of the Mac in Apple's product portfolio—and is faced with making a decision about the future of the Mac.

A regional director of a consulting firm must decide how to compete for a major consulting contract. Appshop can take a level payment contract, a lower level payment with a prospective bonus given high performance, or bid on an RFP where a significant reward is given contingent on the client's savings. The case can be used to introduce Monte Carlo simulation modeling and to build skills in structuring a decision tree in a spreadsheet. It affords an opportunity to simulate alternative risk profiles and to discuss their comparative advantages.

This case serves as an introduction to field sales management. A manager must address three sales representatives' ingrained behaviors in order to implement a major shift in marketing strategy. Students should recognize the nature of the "man-in-the-middle" squeeze: the manager caught between the pressure of implementing a new strategy from the top and the resistance to change from the bottom.

Ben & Jerry/Unilever raises the issues of (1) how to bring a nonbusiness culture (B&J) into a corporate culture (Unilever) while preserving the value acquired; (2) how to manage a recently acquired subsidiary whose parent company is an ocean away; (3) how, as a corporate-appointed general manager, the French general manger can gain the trust of the acquired firm; and (4) how (or even whether) to preserve the Social Responsibility (SR) aspects of the target. An additional focus might be how (or whether) to export a socially-responsible firm's values to overseas locations. The case can be positioned near the end of a PMI course, where the students can apply PMI skills in a unique ethical and cultural situation. Alternatively, it can be used in an Ethics course to highlight the challenges of maintaining an SR mission when a public global corporation acquires a local (Vermont) SR organization.

Benecol Spread, a cholesterol-lowering margarine, was a product with unusual media-planning challenges. With a narrow target group and unproven market potential, Johnson & Johnson needed to get the most “bang for the buck” from its Benecol advertising. Would a media-planning model (optimizer) requiring executives to quantify their judgment on several key inputs be helpful in this process? A spreadsheet accompanying the case allows students to weight the target groups and to choose among different advertising vehicles to form the best possible media plan.

“A Canadian online floral delivery company considers whether to source more flowers from its existing growing locations and which of those would be optimal given its current market. What would be the advantages of opening a logistics facility in Miami? Students must consider the transportation costs per standard box from each origin or transshipment center to each production facility as well as data about the available supply at each origin and projected demand at each facility per week.”