How to Understand Target Market Needs and Wants: A Step-by-Step Guide

Two apparel brands can sell almost identical cotton kurtas at the same price point, yet one builds a loyal customer base while the other struggles to move stock. The difference usually comes down to one thing: how well each brand actually understands what its target market needs and wants. Market segmentation tells you who your customers are on paper. Understanding needs and wants tells you why they buy, how they buy, and what will make them come back. This post breaks down a practical, step-by-step approach to getting there.

Demographic analysis of target customers 🔗

Every serious needs analysis starts with demographics. Age, gender, income, occupation, religion, race, and nationality shape what people wear, how much they spend, and how often they shop. A 22-year-old college student in Bengaluru and a 45-year-old working professional in the same city may both buy “smart casuals,” but their fabric preferences, price sensitivity, and shopping frequency will differ sharply.

This matters more in India than almost anywhere else, because the market itself is expanding fast enough to reward brands that read demographic shifts correctly. India’s apparel market was valued at roughly US$ 106.9 billion in 2023 and is projected to grow to US$ 146.3 billion by 2032, driven largely by a rising middle class with more disposable income to spend on branded and fashionable clothing. That growth is not evenly spread; it is concentrated among specific demographic clusters that brands need to identify precisely.

Income and occupation shape more than budget 🔗

Income doesn’t just set a price ceiling; it influences the entire buying journey. A salaried professional with a fixed monthly income might plan festive-season purchases in advance, while someone with variable income from freelance or gig work may buy more impulsively when cash flow allows. Research on Indian apparel consumption trends shows that middle-class consumers, who are value-conscious but still want fashionable clothing, have created a fast-growing economy and value fashion segment. Brands that understand this balance – quality and design at an accessible price – have captured a disproportionate share of this segment’s growth.

Reading demographics through buying behaviour 🔗

Raw demographic data becomes useful only when paired with observed buying behaviour. Does the target group shop mainly during festive and wedding seasons? Do they prefer ethnic wear for occasions and western wear for daily use? Do they respond to discounts, or are they driven more by brand prestige? These patterns, layered on top of demographic data, help a business predict what a segment will actually purchase rather than what it theoretically could purchase.

Customer relationship and brand analysis 🔗

Once a business has a demographic and behavioural picture of its market, the next step is understanding how customers already relate to the brand. This becomes especially important when launching a new product, whether within an existing customer segment or into an entirely new one. A brand entering a new segment cannot assume the same loyalty, price tolerance, or trust that it enjoys with its core customers.

Segment migration: same brand, different expectations 🔗

When a value-fashion retailer launches a premium sub-line, it is essentially asking existing customers to reconsider the brand at a different price point, or trying to attract a new segment altogether. Either way, the relationship customers have with the parent brand – trust, perceived quality, past experience – carries over and shapes how the new offering is received. Understanding this relationship in advance helps avoid mismatched pricing or messaging.

Tracking how customers actually buy 🔗

Purchase channel matters just as much as purchase motivation. Some customers still prefer buying over the counter, where they can touch the fabric and try the fit; others shop almost exclusively online; a smaller group still relies on catalogues, especially for bulk or occasion-wear orders. Online channels currently make up around 22 percent of organised apparel retail in India, a share expected to rise to nearly 25 percent by 2029-30, which means the offline counter is still where the bulk of transactions happen, even as digital influence on the buying decision keeps growing.

Online and offline channels are increasingly complementary rather than competing – online offers convenience, while physical stores support engagement, brand-building, and pickup. For a fashion retailer, this means purchase-pattern analysis isn’t just about which channel sells more; it’s about understanding how customers move between channels before completing a purchase, and designing the buying experience accordingly.

Segment evaluation criteria 🔗

Not every identified segment deserves a business’s time and money. Once segments are mapped out, they need to be evaluated systematically before resources are committed. The standard criteria include segment size and growth potential, structural attractiveness, level of competition, availability of substitute products, and the relative power of buyers and suppliers.

Applying Porter’s five forces to a segment 🔗

A useful way to judge structural attractiveness is through the lens Michael Porter developed for assessing markets. A market segment’s attractiveness depends on the strength of current competitors, the threat of new entrants, the availability of substitute products, and the bargaining power of both buyers and suppliers. In apparel retail, this plays out clearly: a segment crowded with strong domestic and international brands, high price sensitivity, and easy access to substitute products (say, unbranded local alternatives) is far less attractive than one with fewer established players and room for differentiation.

Buyer power deserves particular attention in fashion retail. When a segment consists of a few large, price-sensitive buyers – such as bulk institutional or uniform orders – they can push margins down aggressively. Supplier power matters too; a segment dependent on a single fabric supplier or a narrow raw-material base is riskier than one with multiple sourcing options.

Matching segments to company objectives and resources 🔗

Even a highly attractive segment isn’t worth entering if it doesn’t align with a company’s objectives or capabilities. Market segmentation frameworks generally recommend that a viable target segment be measurable, accessible, substantial enough to be profitable, and actionable given the firm’s resources. A small apparel startup, for instance, might identify a highly attractive luxury segment but lack the capital, supply chain, or brand credibility to serve it well. In that case, a smaller but more accessible segment may offer a better return.

Practical information gathering 🔗

All of this analysis depends on having reliable information, and gathering it is an ongoing process rather than a one-time exercise. Effective information gathering typically draws on customer feedback about products and services, observed relationships between customers and the brand, and recognisable buying behaviour trends over time.

Where the data comes from 🔗

Useful sources include in-store feedback and returns data, social media conversations, post-purchase surveys, loyalty programme data, and sales trends across channels. For a smaller apparel business, even simple methods – asking regular customers what they liked or didn’t, tracking which sizes and styles get returned most often, or noting which festive collections sell out fastest – can reveal patterns that formal market research might take months to uncover.

Choosing depth over breadth 🔗

Financial constraints are a reality for most fashion businesses, particularly smaller retailers and new entrants. This makes it impractical to chase every promising segment at once. Instead, businesses need to prioritise segments that show clear growth prospects and a genuine fit with what the company can realistically deliver. A narrower focus, backed by solid customer insight, tends to build more sustainable growth than spreading resources thin across too many segments at once.

Understanding target market needs and wants is not a single research exercise completed before launch. It is a continuous loop: gather data, evaluate segments, serve customers, and gather data again. Brands that treat it this way tend to stay closer to what their customers actually want, even as those wants keep shifting.

What do you think? Which do you think is harder for a growing apparel brand to get right – identifying the right demographic segment, or correctly judging how attractive that segment really is once competition and buyer power are factored in? And when resources are limited, would you rather serve one segment deeply or spread cautiously across two or three?

References

1. https://www.ibef.org/blogs/fashion-forward-an-analysis-of-india-s-growing-apparel-market
2. https://wazir.in/pdf/Apparel%20Consumption%20Trends%20In%20India.pdf
3. https://www.franchiseindia.com/insights/en/article/indias-apparel-retail-market-poised-to-reach-16-lakh-crore-by-fy30-careedge.58228
4. https://www.mckinsey.com/industries/retail/our-insights/reimagining-the-role-of-physical-stores-in-an-omnichannel-distribution-network
5. https://publications.dyson.cornell.edu/outreach/extensionpdf/2013/Cornell-Dyson-eb1305.pdf
6. https://link.springer.com/chapter/10.1007/978-981-10-8818-6_4