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In this return on investment (ROI) for customer relationship management (CRM) case scenario, students must calculate the ROI for analytic CRM enabled by an enterprise data warehouse. The case is based upon a real-life consulting engagement with a major Fortune 100 telecommunications company. In this case the executive management team's strategic objective is to grow the customer base by 5 percent annually by customer acquisition. The internal rate of return calculated from the data given in the case is more than 800 percent for one year, and sensitivity analysis shows this is a robust projection, suggesting it should be funded without question. However, the strategy of the firm is customer acquisition in an environment of high customer churn. As a result of these dynamics, the revenues and net income of the firm are actually decreasing by hundreds of millions of dollars each year. A better solution would realize that the executive team has the incorrect strategic objective. Customer acquisition is the wrong approach in an environment of high customer churn and executives should focus on customer retention and cross-sell and up-sell to high-value customers. The case discussion therefore takes students beyond CRM ROI to focuses on the key strategic concepts of customer relationship management.

Students learn how to calculate return on investment (ROI) for analytic customer relationship management (CRM) initiatives. The case also discusses in detail the difference between operational CRM and analytic CRM. The case solution is relatively straightforward with a very good ROI. However, the true learning of the case is for students to understand the strategic context of analytic CRM and to question assumptions in any ROI model.

John Williams, senior director of marketing for Microsoft's .NET, was trying to build the .NET brand, a comprehensive family of next-generation connectivity software products. Highlights the challenges of branding and positioning a complex technology offering. The first challenge facing Microsoft was to develop a common definition of .NET, which had been in flux over the prior two years. The second challenge was to choose between an umbrella branding strategy, a sub-branding strategy, and an ingredient branding strategy. The third challenge was to create a value proposition that would appeal to three very different target audiences: business decision makers, IT professionals, and developers.

To analyze the branding and positioning of a complex new technology offering: by defining a new product offering for public understanding and comprehension; evaluating brand strategies for optimal effect, considering possible hurdles to implementation of each strategy; and developing a value proposition attractive to differing audiences.

Technology projects are inherently risky; research shows that large IT projects succeed as originally planned only 28 percent of the time. Building flexibility, or real options, into a project can help manage this risk. Furthermore, the management flexibility of options has value, as the downside risk is reduced and the upside is increased. The case is based upon real options analysis for an enterprise data warehouse (EDW) and analytic customer relationship management (CRM) program at a major U.S. firm. The firm has been disguised as Global Airlines for confidentiality reasons. The data mart consolidation or EDW marginally meets the hurdle rate for the firm as analyzed using a traditional net present value (NPV) analysis. However, different tactical deployment strategies help mitigate the risk of the project by building options into the project, and the traditional NPV is expanded by the real option value. Students analyze the different deployment strategies using a binomial model compound option Excel macro, and calculate the volatility using Monte Carlo analysis in Excel. A step-by-step tutorial is provided to teach students how to accomplish the real options analysis for a simplified project, and this tutorial is easily generalized by students to the case scenario. In addition to the tactical options, the case also has the strategic growth option of analytic CRM. Students must therefore analyze both the tactical and strategic growth options and make a management recommendation on funding the project and also recommend an optimal deployment strategy to manage the project risk.

The case teaches real options for technology projects. Students learn how to calculate real option values, where the key input of volatility is obtained by Monte Carlo analysis in Excel. Students also learn that the real option value is “real,” resulting from active management mitigating the risk of the project and improving the upside. Most important, students understand the difference between tactical vs. strategic growth options and the important management issues to consider.

Airtel, the leading mobile operator in India was going to launch the “Airtel Zero” platform that would charge service providers and OTT providers on the internet for mobile data traffic but would allow end consumers free access to the web sites that were signed up for the platform. The case revolves around the questions of pricing these data services to the service providers in a market where the price to one set of customers (the end consumer) was not independent of the price to another set of customers (the OTT service providers) - typical of two sided markets. Issues of net neutrality and competition have been considered alongside.

In April 2012, JPMorgan Chase & Company was struggling with large losses that had the potential to damage the reputation of the company, of its Chairman, Jamie Dimon, and of its Chief Investment Officer, Ina Drew. The losses arose from large credit derivative trades in the London office that Dimon described as “bad strategy … badly executed … poorly monitored”.

On October 1, 2017, Gopal Vittal, Managing Director and Chief Executive Officer-India and South Asia, Bharti Airtel, was in his New Delhi office reviewing current trends and Airtel's position in Indian Telecom. His primary concern was the shifting data consumption trend in the Indian Telecom Industry (Exhibit 1) and the disruptive changes that were impacting pricing and profitability since the entry of Reliance Jio Infocomm Limited (Jio) in September 2016. Data consumption in Indian telecom had started increasing exponentially after the entry of Jio who offered lifetime free voice services followed by rock-bottom data tariffs. As Vittal reviewed the data, he wondered if the voice market through a non-VOIP provision was now saturated and would rapidly decline. He was also concerned about the price and revenue implications for Airtel. How might the voice market evolve? How should he act on the pricing front to enable Airtel revenues to continue to grow in the context of what appeared to be predatory pricing by Reliance Jio?

Rob Griffin, senior vice president and U.S. director of search for Media Contacts, a communications consulting firm, is faced with the task of optimizing search engine marketing (SEM) for Air France. At the time of the case, SEM had become an advertising phenomenon, with North American advertisers spending $9.4 billion in the SEM channel, up 62% from 2005. Moving forward, Griffin wants to ensure that the team keeps its leading edge and delivers the results Air France requires for optimal Internet sales growth. The case centers upon Air France's and Media Contacts' efforts to find the ideal SEM campaign to provide an optimal amount of ticket sales in response to advertising dollars spent. This optimal search marketing campaign is based on choosing effective allocation of ad dollars across the various search engines, as well as selecting appropriate keywords and bid strategies for placement on the search result page for Internet users.

In determining the optimal strategy, the case presents background information on the airline industry as well as the Internet search options available at the time, including Google, Microsoft MSN, Yahoo!, and Kayak. Additionally, background information is provided on SEM and its associated costs and means of measuring the successfulness of each marketing effort. The case illustrates how one must first determine the key performance indicators for the project to guide analysis and enable comparison of various SEM campaigns. Cost per click and probability to produce a sale differ among publishers. Therefore, using a portfolio application model's quadrant positions can be used to determine optimal publisher strategies. Additionally, pivot tables help illustrate campaigns and strategies that have historically been most successful in meeting Air France's target Internet sales. Multiple recommendations on how Media Contacts can assist Air France in improving its SEM strategy can be derived from the data provided.

Students learn how to optimally leverage the Internet in generating customer sales in a cost-effective manner. Students will analyze and manipulate a variety of data using pivot tables to determine optimal strategies for obtaining maximum total online bookings through the various online channels available. Using a portfolio application model, students can determine an optimal publisher strategy and complete copy improvement analysis.

Set in September 1992, this exercise provides teams of students the opportunity to negotiate terms of a merger between AT&T and McCaw Cellular. AT&T, one of the largest U.S. corporations, was the dominant competitor in long-distance telephone communications in the United States. McCaw was the largest competitor in the rapidly growing cellular-telephone communications industry. Prior to the negotiations, AT&T had no position in cellular communications. This case and its companion (F-1143) are designed to allow students to be assigned roles to play. The case may pursue some or all of the following teaching objectives: exercising valuation skills, practicing strategic analysis, exercising bargaining skills, and illustrating practical aspects of mergers and acquisitions.

This case uses Uber Technologies Inc. to engage students in a serious conversation about how a firm both affects its stakeholders and is affected by its stakeholders as well as the role of strategic leadership in the amount of emphasis placed on ethical practices. Uber represents a visible high-growth startup that has received considerable positive and negative attention in the media; however, few people know of the extent of its aggressive management approach. Much of the publicity about Uber is both a direct consequence of and a direct consequence for stakeholder relationships. Students are asked to analyze Uber’s approach and offer suggestions for moving forward.

This case was created using secondary data sources. The issues for Uber that led the authors to write this case were not very flattering to Uber, and therefore, the authors decided to use secondary sources. Since Uber and many of its direct competitors were private companies, the authors collected as much financial data as the authors could from publicly available sources. Also, due to the contentious nature of some of the managerial tactics used within Uber, the use of secondary data sources was warranted.

This case was crafted with senior undergraduate students in strategic management as the primary audience, but is also relevant for MBA-level strategy courses as well. This case touches upon core content in the vast majority of undergraduate strategic management courses with a special emphasis on two concepts underrepresented in most strategic management textbooks, stakeholder theory and ethical decision making.

This case describes management's sequential reevaluation of Marriott's debt capacity and the decision about how to invest this unused debt. Videotape #5556, “Strategic Leadership,” is designed for use with this case (see Videotape Bibliography).