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The case deals with marketing research study undertaken to introduce a new product in the market. The company was planning to introduce Cerenity, a toilet seat sanitizer for women who frequently use shared restrooms. The case discusses the conclusive study undertaken involving quantitative marketing research. The research team carried out quantitative survey and collected the data. It applied various quantitative research methods such as factor analysis, multiple regression, cluster analysis and conjoint analysis for analysis the collected and drawing managerial inferences.

Ontela, a technology start-up company, has introduced an innovative service called PicDeck that improves the mobile imaging experience for wireless subscribers. Ontela sells PicDeck to wireless carriers, who in turn private-label the service to their subscribers. Ontela must decide which customer segments it should target for the service and how to create a positioning strategy and a marketing communication plan to promote it. It must also consider the value proposition of the PicDeck service for wireless carriers (its direct customers), who need to be convinced that the service will lead to higher monthly average revenue per user (ARPU) and/or increased subscriber loyalty. Part A of the case provides qualitative information on customer personae that represent different customer segments. Students are asked to develop a targeting and positioning strategy based on this qualitative information. Part B provides quantitative data on customer preferences that can be used to identify response-based customer segments, as well as demographic and media habits information that can be used to profile the segments. Students are asked to revise their recommendations based on the additional quantitative data.

The case reinforces the principles of data-driven customer segmentation, discusses the appropriate criteria for selecting segments, and provides a deeper understanding of the benefits and drawbacks of different approaches to identifying and evaluating segments. The case illustrates how the results of data-driven segmentation may run counter to approaches that rely on “gut feel” or qualitative information alone.

Ontela, a technology start-up company, has introduced an innovative service called PicDeck that improves the mobile imaging experience for wireless subscribers. Ontela sells PicDeck to wireless carriers, who in turn private-label the service to their subscribers. Ontela must decide which customer segments it should target for the service and how to create a positioning strategy and a marketing communication plan to promote it. It must also consider the value proposition of the PicDeck service for wireless carriers (its direct customers), who need to be convinced that the service will lead to higher monthly average revenue per user (ARPU) and/or increased subscriber loyalty. Part A of the case provides qualitative information on customer personae that represent different customer segments. Students are asked to develop a targeting and positioning strategy based on this qualitative information. Part B provides quantitative data on customer preferences that can be used to identify response-based customer segments, as well as demographic and media habits information that can be used to profile the segments. Students are asked to revise their recommendations based on the additional quantitative data.

The case reinforces the principles of data-driven customer segmentation, discusses the appropriate criteria for selecting segments, and provides a deeper understanding of the benefits and drawbacks of different approaches to identifying and evaluating segments. The case illustrates how the results of data-driven segmentation may run counter to approaches that rely on “gut feel” or qualitative information alone.

The case deals with the application of marketing research for launching a new product in the market place. The company was planning to enter the Fast Moving Consumer Goods (FMCG) market in India with its new product Cerenity. Cerenity was a toilet seat sanitizer for women who frequently use public restrooms. The case describes the exploratory study conducted by the research team. The team used different qualitative marketing research tools such as focus groups, in-depth Interviews and participant observations.

Supply chain management and particularly the significance of vendors as a strategic decision making tool.

The case is suitable for use in the following courses: MBA programs with specialisation in operations management where it can be used to teach students the significance of vendor selection and vendor rating in supply chain management (SCM); marketing research in management where it can be used to highlight the concept of multi attribute utility theory (MAUT) and its application; advanced statistics for multi criteria decision making (MCDM); and MBA/post graduate programs in management in strategic management where it can be used to introduce the concept of SWOT analysis and Porter's five forces model. An understanding of business process improvement will enable students get a comprehensive view about the case.

This case showcases the concepts of MCDM and SCM in manufacturing industry. The company wanted to select vendors and rate them in each category of raw materials in order to have a competitive advantage over competitors. Since there are multiple attributes (often contradictory in nature) based on which the vendors would be selected Kaul, Vice-President, Commercial uses multi-attribute utility theory (MAUT) to help solve the problem. The case has implications for manufacturing industry in selecting vendors to meet a raw materials need.

The case can be used to understand management concepts such as market research, supply chain management and multi criteria decision making. It can be used to: teach complexities involved in identifying attributes for vendor selection and vendor rating; help understand supply chain management in business process improvement; help students understand the application of MCDM; and help MBA students studying marketing research. The case will also be useful to students in understanding the application of MCDM in operations management. Some knowledge about cigarette manufacturing will help students to realize the depth of the case.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

This case is used in the Marketing Analytics elective at Darden. A Sticks executive team is interested in opening a second quick-service restaurant in Richmond, Virginia. But before doing so, the team wanted to gain a better sense of who were Sticks' customers, which location would attract the best customers, and how to best connect with customers. An opportunity to gather survey data presented itself. Would the demographic and psychographic assumptions the team had gathered from talking to people in stores align with the survey answers? And what would the data suggest about where to locate new stores and about what marketing channels and messages to use to promote them?

This case concerns the promotional activities of Nashua Photo, the nation's largest mail-order photofinishing firm. Discount-price mailers (inserted in local newspapers, for example) were used to generate new customers, but also allowed existing customers to pay a lower price. Students must evaluate not only the results of last quarter's 125 separate promotions in light of this “leakage,” but also the appropriateness of discount-price mailers within Nashua's marketing mix.

Andreas Stihl AG is the world's leading manufacturer of chain saws and other outdoor handheld power equipment. Based on marketing challenges in its high-volume retail channel—mass merchants such as The Home Depot and Lowe's—Stihl's U.S. unit has narrowed its distribution system to a single channel: independent retail dealers specializing in yard maintenance equipment. This risky and highly publicized decision has proved extremely successful, raising profits, attracting more dealers into exclusive relationships with Stihl, and strengthening the brand's top-quality positioning. But Stihl management are concerned that this channel system may not fit tomorrow's demographics, dominated by homeowners from the so-called Generation X and Generation Y. The case outlines Stihl's business and channel systems and customer needs, then poses a series of questions that management believes must be answered to determine whether to maintain or move away from reliance on its specialty retailers and how to adapt its system.

To understand issues related to retail channel strategy development in fast-changing consumer markets, as well as the challenges of adapting legacy routes-to-market systems to changing consumer service output demands.

Uber had pioneered the growth and delivery of modern ridesharing services by leveraging the explosive growth of technology, GPS navigation, and smartphones. Ridesharing services had expanded across the world, growing rapidly in the United States, China, India, Europe, and Southeast Asia. Even as these services expanded and gained popularity, however, the pickup experience for drivers and riders did not always meet the expectations of either party. Pickups were complicated by traffic congestion, faulty GPS signals, and crowded pickup venues. Flawed pickups resulted in rider dissatisfaction and in lost revenues for drivers. Uber had identified the pickup experience as a top strategic priority, and a team at Uber, led by group product manager Birju Shah, was tasked with designing an automated solution to improve the pickup experience. This involved three steps. First, the team needed to analyze the pickup experience for various rider personas to identify problems at different stages in the pickup process. Next, it needed to create a model for predicting the best rider location for a pickup. The team also needed to develop a quantitative metric that would determine the quality of the pickup experience. These models and metrics would be used as inputs for a machine learning.

In 2014 WMS Gaming, a manufacturer and seller of slot machines to casinos, was considering a redesign of its existing revenue model. As technology evolved and customer demand for gaming solutions intensified, new and innovative revenue models were being adopted in other technology markets. Most notably, the subscription revenue model, in which customers paid a monthly subscription fee rather than a large upfront fee, was becoming widely adopted in the software industry. Product manager Dayna Stone had the task of evaluating several revenue models and recommending one that most suited WMS's business needs and at the same time took customer needs and wishes into consideration. Complicating this decision were several factors that would have to be kept in mind. Americans' love of gaming had led to a mushrooming of casinos, which meant increased competition for casino dollars. Yet the financial crisis of 2008 and its aftermath had weakened demand for casinos. In addition, casinos, depending on the type of customers they attracted, differed in their appetite for innovation and maintenance of their slot machines. Students will step into the shoes of Dayna Stone as she undertakes the task of weighing these factors and selecting the right revenue model.