Fashion Buyer PersonasCustomer Profiles & Market Research
Research and analyze key buyer personas in the fashion industry. Get detailed insights into customer behaviors, preferences, and purchasing patterns.
Trendy College Student
18-24 years old, predominantly female (65%), urban/campus areas, moderate income ($15,000-$30,000 annually), spends 34% more on clothing than other age groups
Very high purchase frequency of 28.5 apparel items annually, with 72% being impulse purchases. Frequency spikes around campus events, seasonal transitions, and social media trends.
Primary Goal
Express individual style while fitting in with peer groups
Luxury Shopper
35-55 years old, predominantly female (72%), urban centers, high income ($150,000+ annually), accounts for 33% of global luxury purchases despite representing only 13% of shoppers
Moderate purchase frequency of 16.2 significant fashion items annually, with distinct seasonal patterns aligned with fashion calendar. Makes 38% of annual purchases during new collection releases.
Primary Goal
Build a curated wardrobe of quality investment pieces
Practical Parent
30-45 years old, male/female (62% female), suburban, middle income ($60,000-$100,000), family-focused, controls 85% of household fashion purchasing decisions
Moderate to high purchase frequency of 18.4 significant apparel purchases annually, with distinct spikes around seasonal transitions, growth spurts, and back-to-school periods.
Primary Goal
Clothe family practically and affordably without frequent shopping trips
| sku | name | brand | size | color |
|---|---|---|---|---|
| FA-001 | Linen shirt | Your brand | M | Sand |
| — | — | — | — | — |
The Fashion & Apparel PIM starter template
Built from the same buyer-persona research on this page. Required attributes first, recommended after, with a worked example row so you can start from day one.
- 7 required + 12 recommended attributes
- Columns ordered required-first for channel-ready publishing
- Opens in Excel or Sheets — no PIM required to get value
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