Customer Experience as a Segmentation Basis in Luxury Markets
This paper examines customer experience as an emerging segmentation basis, analyzing conventional segmentation platforms — demographic, geographic, psychographic, and behavioral — in the context of heightened competition, private label growth, and e-tailing. Drawing on a luxury market case study, it compares the VALS and PRIZM models, evaluates differentiation and customer engagement strategies, and distinguishes between Customer Relationship Management (CRM) and Customer Experience Management (CEM). The paper argues that CEM is most effectively applied in service sectors such as tourism, hospitality, and healthcare, and considers whether customer experience should function as a complement or substitute for traditional segmentation bases within the modern experience economy.
- Conventional Segmentation Bases and Their Continued Relevance: Overview of segmentation platforms including VALS and PRIZM
- Characterizing Competition and Segmentation Efficacy: Differentiation, technical competency, and customer engagement strategies
- Market Segmentation Across the Product-Price Pyramid: R&D, feedback mechanisms, and product design for market positioning
- CRM vs. CEM: Definitions and Ideal Industries: Distinguishing CRM from CEM and their industry applications
- CEM in the Service Sector vs. the Manufacturing Sector: Why CEM fits service industries better than manufacturing
- Customer Experience as Complement or Substitute in the Experience Economy: Customer experience's role alongside traditional segmentation bases
✍️ How to write this paper — guide, tools & examples ▾
What makes this paper effective
- Directly addresses each case study question in sequence, making the argument easy to follow and well-organized for academic review.
- Integrates theoretical frameworks (VALS, PRIZM, CEM, CRM) with applied examples from service and luxury industries, grounding abstract concepts in real-world context.
- Draws a clear and useful distinction between CRM and CEM, showing that each serves different strategic purposes rather than treating them as interchangeable.
Key academic technique demonstrated
The paper effectively uses comparative analysis to evaluate competing concepts — most notably in the CRM versus CEM discussion and the service versus manufacturing sector comparison. By outlining distinct objectives, functionalities, and outcomes for each concept, the author shows how nuanced definitional work can strengthen a marketing argument and guide strategic recommendations.
Structure breakdown
The paper is structured as a six-question case study response. Each section begins by restating the question and then develops an analytical answer supported by citations. The progression moves from foundational segmentation theory (questions 1–3) to applied customer experience management (questions 4–6), culminating in a normative argument about the role of customer experience in the modern experience economy. This scaffolded structure suits a graduate-level case study format.
Conventional Segmentation Bases and Their Continued Relevance
Segmentation is primarily based on aspects of geography, behavior, and psychography, all of which are considered conventional bases for segmenting a target audience. Segmentation platforms remain vital because customer needs are constantly changing, and companies must adopt innovative approaches to improve customer satisfaction. This enables a company to better position itself across different markets (Gambhiraopet & Chowdary, 2015). Effective segmentation creates a significant effect on a company's market share and further builds brand loyalty (Walden, 2017). Segmentation platforms also help predict customer values and behaviors — including the attitudes and values crucial to identifying a target audience — and allow companies to focus on distinct customer sets over time.
The VALS and PRIZM models are systems used to segment consumer markets based on attitudinal variables and geo-demographic factors. These approaches draw on principles related to the influence of past beliefs and future consumer behavior (Gambhiraopet & Chowdary, 2015). These models are particularly crucial in an era of increased competition because they help organizations gain a competitive advantage and maintain a clearer understanding of consumer behavior. They also create productive rivalry with the unorganized sector, since organized industries are better equipped to understand customer expectations (Gambhiraopet & Chowdary, 2015). Overall, these models simplify segmentation, help define product targets, support media strategy development, and make advertising more effective.
Characterizing Competition and Segmentation Efficacy
The nature of competition and the effectiveness of segmentation can be characterized in several ways. The first is through differentiation approaches, which are vital for gaining market share. A differentiation strategy is a business approach focused on offering customers something unique and distinct from competitors' offerings in the marketplace (Lafrenière, 2019). The primary objective of a differentiation approach is to increase competitive advantage.
Another way to characterize competition is through the varied application of technical competency in adopting a market approach. Technical competency simplifies business activities by providing efficient methods for problem-solving (Walden, 2017). These competencies represent the knowledge and skills required to apply technical information and principles to specific job roles and functions — proficiencies typically developed through education and hands-on experience.
A third way is through customer engagement strategies deployed regularly. Examples include discounts and schemes launched off-season, as well as in-season promotions designed to attract customers and stimulate competition between companies (Lafrenière, 2019). Customers tend to develop loyalty toward organizations that offer savings, making discounting a key competitive lever. Additionally, several product mix strategies are adopted to build brand loyalty. These include price, product, place, and promotion (Lafrenière, 2019) — the tactical and controllable tools companies use to generate a more favorable response from target markets and to influence overall demand for their products.
CRM vs. CEM: Definitions and Ideal Industries
CEM (Customer Experience Management) and CRM (Customer Relationship Management) are not the same concept, though both are considered vital elements for keeping customers satisfied. Each relies on technological solutions to gain insight into customer behavior through data (Pine II & Gilmore, 1998). The difference between these two concepts lies in their scope, objectives, and functionality. CEM takes a more holistic approach — attracting, monitoring, and shaping the overall customer experience (Pine II & Gilmore, 1998). By contrast, CRM is a software solution or platform that enables companies to track prospect and customer interactions in order to drive insights, boost sales, and resolve issues.
The right mix of CEM and CRM is essential: together, they keep customers satisfied and create a more complete understanding of the customer journey (Pine II & Gilmore, 1998). CEM gathers, tracks, and organizes every step of the customer's perspective and journey — primarily through surveys, direct feedback, reviews, and other communication methods (Lafrenière, 2019). CRM, meanwhile, helps organizations run efficiently and improves customer loyalty by managing an online presence and tracking key aspects of the customer journey.
More specifically, CRM is a focused tool whose primary role is to enhance customer experience through information management systems that promote effective customer bonding. CEM, on the other hand, facilitates customer interaction by delivering high-quality services on an ongoing basis. The industries where customer experience is most ideal as a segmentation basis are service-oriented sectors, including tourism, healthcare, and hospitality.
References
Gambhiraopet, K., & Chowdary, N. V. (2015). Customer experience as segmentation basis: The 'Luxury' in question. The Case Centre.
Lafrenière, D. (2019). What is customer experience? Delivering Fantastic Customer Experience, 1–4.
Peel, J. (2002). A role for marketing-oriented CRM technologies. CRM, 103–117. https://doi.org/10.1016/b978-155558263-0/50008-7
Pine II, J., & Gilmore, J. H. (1998, July 1). Welcome to the experience economy. Harvard Business Review. https://hbr.org/1998/07/welcome-to-the-experience-economy
Walden, S. (2017). Customer experience is complex. Customer Experience Management Rebooted, 107–120. https://doi.org/10.1057/978-1-349-94905-2_7
Always verify citation format against your institution’s current style guide requirements.