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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.

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.

This case features Lucas Lopez Lince, a rising leader in Colombian consumer goods company Grupo Familia. Lopez Lince had inherited a digital marketing program built around a newly identified customer persona–a young low-income mother. The program represented a significant shift in Familia's target customer as well as a shift in the way marketing funds were spent. The program appeared to be working, so he increased the digital spend even as he had to reduce his overall marketing budget in the face of challenging economic headwinds. Activity metrics such as page views, social media “likes,” and video views rose dramatically, and at the same time sales began to rise again. By the beginning of 2017, Lopez Lince faced a deeper set of questions. How could he be certain that the rising sales were due to the digital efforts? Would the existing digital programs and tactics continue to deliver against chosen metrics? And what could he do next in order to continue driving growth of revenue and margin through digital efforts? Students assume the role of Lopez Lince and are asked to apply concepts such as customer personas, micro-moments, and customer journey mapping to develop their own point of view on what they would do next.

The expected learning outcomes are to understand the complexities involved in the integration of two carriers with different business strategies and approaches, the merger of two brands with distinct personas and identities and the confluence of two different cultures; figure out the strategic options in front of the Tata Group and how it can deal with various macro- and micro-level business challenges, defy the financial hiccups and manoeuvre the operational complexities to accomplish mission Vihaan.AI; and develop a pragmatic approach to macro and micro business environmental scanning for making strategic business decisions.

In November 2022, Tata Group, the salt to software conglomerate, announced the merger of Air India (AI) and Vistara. This would lead to the formation of the full-service airline under the brand name “Air India”. The obvious reason behind this was the higher recognition, salience and recall of the brand AI as compared with Vistara in the global market. The Tata Group envisaged the brand AI to be a significant international aviation player with the heritage, persona and ethos of the brand Vistara in the renewed manifestation of AI. To realise these goals, Tata Group laid down an ambitious plan called “Vihaan.AI”, which was aimed at capturing a domestic market share of 30% by 2027.

This case study can be taught as part of undergraduate- and postgraduate-level management programmes.

Teaching notes are available for educators only.

CSS 11: Strategy.

In May 2013, Jack Russo, a Chicago-based tech entrepreneur, had to choose one of four possible product concepts to use as the starting point for his new K–8 educational learning company, TabletTeach LLC. At the time, the K–12 education market in the United States was experiencing major disruption due to print-to-digital transformation, new Common Core State Standards (CCSS), new standardized tests aligned to the Common Core (rolling out in most states in the 2014–2015 school year), and increasing pressure from parents for schools to incorporate technology in their children's learning. Based on his first-hand experience and research, Russo knew there was a significant opportunity for a company that brought to market a tablet-enabled learning solution focusing on grades K–8, which made learning Common Core math and/or language arts fun for every student and engagingly simple for all teachers.

This case provides an interesting example of something typically hard to teach: transitioning from the fuzzy front end of a market opportunity analysis to a specific product opportunity. The case bounds the problem by outlining four potential product concepts, which students will then evaluate and rank using their own sets of criteria.

Define evaluation criteria for an opportunity analysis of a tech startup in a dynamic market; use these criteria to evaluate a set of product concepts and their business opportunities; refine a set of product concepts to develop and present a recommendation; understand the importance of the problem-persona-product fit and “jobs to be done” data in identifying high-value opportunities; present findings in an opportunity brief and a market opportunity hypothesis statement

The learning outcomes of this study are as follows:▪ to explain the marketing of products that fall under “stigmatised” products;▪ to develop a multi-segmentation strategy and identify variables used in segmentation;▪ to identify the target segments;▪ to draw a value proposition canvas;▪ to construct positioning statements; and▪ to decide the product portfolio based on segmentation, targeting and positioning (STP).

This case considers the dilemma faced by Deep Bajaj, CEO of Sirona Hygiene Pvt. Ltd., a company in the female menstrual and intimate hygiene products space, in May 2021. During an investor meeting, an investor questions Sirona’s focus on menstrual cups (MCs) and advises Deep to expand instead the sanitary pads category. While the company has been growing at more than 100% year-on-year and has also been profitable for the last three years, the case considers how Deep can better participate in the bull run in the Indian menstrual hygiene market. Should he discard menstrual cups from Sirona’s product portfolio and concentrate on sanitary pads – India’s most highly accepted menstrual hygiene product? Alternatively, should he discard sanitary pads from his product portfolio and focus on MCs – his flagship product? Or, could he tap the large and growing menstrual hygiene market to “have his cup and pad too”?

This case is suitable for a class of 90 min in an undergraduate course or an extended session of two 90-min classes in a graduate MBA course. It can be studied as part of the STP module in a Marketing Management course. It may also be used in a strategic management course within a graduate MBA program to provide an understanding of the value proposition canvas as part of the module on business model canvas.

Teaching notes are available for educators only.

CSS 8: Marketing.

In early 2016, after the success of its first two smartphones, the OnePlus One and OnePlus 2, China-based startup smartphone maker OnePlus was deciding how to build on its early success and grow into a global contender in the highly competitive smartphone market. Technology enthusiasts and geeks had flocked to purchase the first two generations of its smartphones and expectations were high for the company's next product. The company's founders, Pete Lau and Carl Pei, faced the challenge of broadening the appeal of OnePlus to address the mainstream market without alienating its core customer base.

“Crossing the chasm” from the early adopters to the mainstream market involved addressing three interrelated questions: First, what segments should OnePlus target as it sought to grow beyond its loyal fan base? Second, what value proposition and positioning strategy should it adopt to appeal to these target customers? Finally, what distribution and marketing communications strategy should it employ to make best use of its limited financial resources? A key consideration in formulating its strategy was to stay true to the company's culture and mission of “Never Settle” by charting its own course and not emulating the strategies of much larger competitors like Apple, Samsung, LG, and HTC.

A senior product manager for a telecommunications company has been asked to propose ideas for generating new revenue from video gamers who use his company's Internet services. The manager has commissioned the development of “experience maps” for three subsegments within the gamer segment. The experience maps, which are reproduced in the case, provide students with an opportunity to generate customer insights based on real qualitative data.

After students have analyzed the case, they will be more comfortable analyzing unstructured consumer insight data with limited direction, as well as with the inductive reasoning necessary to develop marketing insights based on qualitative research results. They will also have a better understanding of how customer insights can drive product development decisions and a greater understanding of experience maps as a consumer research tool

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.

Israeli entrepreneur and inventor Dov Moran envisioned the creation of a mobile device that was a small, stand-alone, fully functional mobile phone that could be slipped into a variety of enclosures, or “jackets,” that would provide added functionality and better reflect the personalities of its users. As the development of the Modu phone began to take shape, Moran and his team decided that to ensure the success of the new phone's much anticipated launch, Modu would develop and market the accessory jackets itself. The question now was which of the eight jackets to develop and what factors should be considered in making that decision. The case is about how to estimate optimal product-line extensions after accounting for experience curve and cannibalization effects of products that share similar features, cost, and price. This will require quantitative analysis that estimates the effect of the experience curve and cannibalization on cost, revenues, and ultimately, profit. The issue is how to optimize profits by choosing an ideal set of products.

• Understand the importance of quantitative analysis in launching product-line extensions while taking into account demand and cost side interactions

• Combine both qualitative and quantitative data in choosing a targeted segment

• Reflect on the strategic and financial considerations in choosing a segment for a new technology product

• Evaluate the implications of experience curve and cannibalization when introducing product-line extensions and their impact on the decision under consideration

Understand the importance of quantitative analysis in launching product-line extensions while taking into account demand and cost side interactions

Combine both qualitative and quantitative data in choosing a targeted segment

Reflect on the strategic and financial considerations in choosing a segment for a new technology product

Evaluate the implications of experience curve and cannibalization when introducing product-line extensions and their impact on the decision under consideration