Tailoring the Ideal Customer: A Methodological Framework for Buyer Persona Design in the Tailoring Industry
Abstract
1. Introduction
- To develop representative buyer persona profiles for artisanal tailoring within digitally mediated consumption environments.
- To compare “traditional” and “digitally oriented” consumer segments across demographic, behavioral, symbolic, and perceptual dimensions.
- To identify market segments capable of generating sustainable economic value while preserving cultural authenticity and artisanal integrity.
2. Theoretical Framework
2.1. Digital Transformation as a Sociotechnical and Cultural Meta-Paradigm
2.2. Consumer Culture Theory and the Hybrid Consumer
2.3. Value Co-Creation and the Service-Dominant Logic
2.4. Buyer Persona Theory and Human-Centered Design Thinking
2.5. Cultural Heritage, Authenticity, and Digital Continuity
3. Materials and Methods
3.1. Market Research and Data Collection
- Sociodemographic characteristics
- Purchasing motivations, expectations, and preferences
- Consumption behavior and decision-making processes
- Digital platform usage and interaction frequency
3.2. Descriptive and Inferential Statistical Analysis
3.3. Buyer Persona Development
- General description.
- Purchasing motivations.
- Digital behavior.
- Pain points.
- Value-creation opportunities.
3.4. Multicriteria Evaluation (TOPSIS Method)
- Interest in fashion and stylistic orientation.
- Preferred purchasing modality (online vs. in-person).
- Decision-making style.
- Pain points (e.g., customization requirements, price sensitivity, delivery time constraints).
- Age group.
- Normalization of the decision matrix using vector normalization to ensure comparability across criteria.
- Identification of ideal and anti-ideal solutions, representing the best and worst performance values for each criterion.
- Computation of Euclidean distances between each alternative and the ideal and anti-ideal solutions.
- Calculation of the closeness coefficient (Cᵢ), where values closer to 1 indicate greater alignment with organizational objectives.
4. Results
4.1. Descriptive Analysis
4.1.1. Profile of Current Customers
4.1.2. Profile of Potential Customers
4.2. Inferential Analysis
4.2.1. Inferential Patterns Among Current Clients
- Significantly longer and more continuous relationships with the tailoring atelier;
- Higher reported satisfaction with both product outcomes and service processes;
- A stronger propensity to recommend the brand within family, professional, and social networks; and
- A pronounced valuation of personalized attention, interpersonal trust, and tangible indicators of craftsmanship and material quality.
- More frequent and intensive use of social media platforms.
- Greater daily time allocation to digital environments.
- Higher willingness to interact with the brand through digital communication channels.
- A stronger disposition toward online purchasing and digital payment solutions.
4.2.2. Inferential Patterns Among Potential Clients
- Predominant clothing styles worn.
- Frequency and intensity of fashion-related purchases.
- Motivations and evaluative criteria guiding brand and store selection.
- Levels of familiarity with bespoke and semi-bespoke tailoring services.
- Frequency and intensity of social media use.
- Preferred digital content formats and platforms.
- Likelihood of following fashion brands online.
- Degree of influence exerted by social networks and digital influencers on purchase decisions.
- Willingness to engage in e-commerce and digital personalization tools.
4.2.3. Segment Synthesis and Strategic Interpretation
- Digital Consumers (approximately 18–33 years)
- Prioritize convenience, interactivity, visual coherence, and frictionless digital experiences.
- Exhibit strong openness to co-creation tools, algorithmic personalization, immersive content, and hybrid purchase journeys.
- Are highly influenced by social media dynamics, peer-generated reviews, and influencer-mediated credibility.
- 2.
- Classic Consumers (approximately 40+ years)
- Prioritize emotional connection, tactile interaction, brand heritage, and localized reputation.
- Display moderate but steadily increasing levels of digital adoption, particularly when digital channels reinforce trust, service continuity, and relational familiarity.
- These patterns empirically confirm the existence of a dual-segment consumer ecosystem within the contemporary artisanal tailoring market:
- The Classic Consumer— grounded in loyalty, tradition, and appreciation for handcrafted excellence.
- The Digital Consumer— oriented toward aesthetic optimization, continuous connectivity, and experiential personalization.
4.3. Buyer Personas Profiles
4.4. Multicriteria Evaluation (TOPSIS Analysis)
Strategic Insights
- Classic Consumers (Older Men and Older Women): These segments constitute the financial and symbolic core of the business. Their consistent loyalty and appreciation for craftsmanship sustain the brand’s authenticity and premium value proposition.
- Digital Consumers (Young Women and Young Men): These segments enable scalable market expansion through multi-platform engagement, elevated aesthetic expectations, and strong responsiveness to hybrid (physical–digital) customer journeys.
5. Discussion
5.1. Behavioral Implications: Personalization as a Convergent Value Logic
5.2. Strategic Insights: Dual Value Trajectories in Post-Digital Tailoring
5.3. Implications for Micro-Heritage Economies
5.4. Toward a Theory of Post-Digital Artisanal Sustainability
6. Conclusions
6.1. Dual Consumer Paradigms as Strategic Complements
6.2. Toward Humanized Digitalization and Augmented Craftsmanship
6.3. Managerial Implications and Future Research Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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| Profile | General Description | Purchase Motivations | Digital Behavior | Pain Points | Value Opportunities |
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| 1. Older Men (55–80 years) “Classic Gentleman” | Economically stable, mature, and highly loyal customers with a strong emotional connection to the tailor shop. They value tradition, reputation, and tangible craftsmanship and represent the historical core of the business. |
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| 2. Older Women (50–75 years) “Elegant Matriarch” | Mature women seeking elegance, quality, and sophisticated garments. Although they purchase less frequently, they exert strong influence over family recommendations. They value trust, proximity, and brand reputation. |
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| 3. Young Men (18–35 years) “Pragmatic Millennial” | Young, urban, practical, and convenience-driven consumers seeking versatile garments that combine functionality with premium artisanal appeal. Less loyal but highly interactive and responsive within digital environments. |
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| 4. Young Women (18–35 years) “Visual Creator” | Digitally native, expressive, and highly aesthetics-oriented consumers. They value personalization, uniqueness, and co-creation. Represent the segment with the highest digital expansion potential. |
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Ospina-Agudelo, J.C.; Suárez-Rodríguez, C.H.; Largo-Avila, E.; Garzón-García, A.M.; Suárez-Naranjo, L. Tailoring the Ideal Customer: A Methodological Framework for Buyer Persona Design in the Tailoring Industry. Adm. Sci. 2026, 16, 9. https://doi.org/10.3390/admsci16010009
Ospina-Agudelo JC, Suárez-Rodríguez CH, Largo-Avila E, Garzón-García AM, Suárez-Naranjo L. Tailoring the Ideal Customer: A Methodological Framework for Buyer Persona Design in the Tailoring Industry. Administrative Sciences. 2026; 16(1):9. https://doi.org/10.3390/admsci16010009
Chicago/Turabian StyleOspina-Agudelo, Juan Camilo, Carlos Hernán Suárez-Rodríguez, Esteban Largo-Avila, Alba Mery Garzón-García, and Laura Suárez-Naranjo. 2026. "Tailoring the Ideal Customer: A Methodological Framework for Buyer Persona Design in the Tailoring Industry" Administrative Sciences 16, no. 1: 9. https://doi.org/10.3390/admsci16010009
APA StyleOspina-Agudelo, J. C., Suárez-Rodríguez, C. H., Largo-Avila, E., Garzón-García, A. M., & Suárez-Naranjo, L. (2026). Tailoring the Ideal Customer: A Methodological Framework for Buyer Persona Design in the Tailoring Industry. Administrative Sciences, 16(1), 9. https://doi.org/10.3390/admsci16010009

