Based on buyer age and gender of NAVER Shopping clicks, last 12 months. Skew index 100 = overall average; 300 = three times the average share of women in their 40s. Read top to bottom for gifts or ad targets.
이 포스팅은 쿠팡 파트너스 활동의 일환으로, 이에 따른 일정액의 수수료를 제공받습니다.
| # | Category | Group | Skew index | 40s share | Women share | This month | Cheapest | Coupang |
|---|---|---|---|---|---|---|---|---|
| 1 | 코디세트 | 패션의류 › 여성의류 | 227 | 45.2% | 95.6% | 100 | Sep | View |
| 2 | 점프슈트 | 패션의류 › 여성의류 | 204 | 41.5% | 93.3% | 38 | Dec | View |
| 3 | 스커트 | 패션의류 › 여성의류 | 200 | 39.4% | 96.3% | 100 | Aug | View |
| 4 | 트레이닝복 | 패션의류 › 여성의류 | 196 | 42.3% | 88.1% | 100 | Aug | View |
| 5 | 브라팬티세트 | 패션의류 › 여성언더웨어/잠옷 | 186 | 38.9% | 91% | 74 | Sep | View |
| 6 | 점퍼 | 패션의류 › 여성의류 | 184 | 37.8% | 92.7% | 52 | Jul | View |
| 7 | 티셔츠 | 패션의류 › 여성의류 | 181 | 36.9% | 93.4% | 94 | Jan | View |
| 8 | 아우터 | 패션의류 › 여성의류 | 180 | 36.4% | 94.1% | 0 | Jul | View |
| 9 | 청바지 | 패션의류 › 여성의류 | 180 | 36.6% | 93.6% | 93 | Aug | View |
| 10 | 니트 | 패션의류 › 여성의류 | 174 | 34.6% | 95.7% | 0 | Jul | View |
| 11 | 원피스 | 패션의류 › 여성의류 | 174 | 34.6% | 95.6% | 64 | Jan | |
| 12 | 바지 | 패션의류 › 여성의류 | 173 | 35% | 94.1% | 81 | Sep | |
| 13 | 블라우스/셔츠 | 패션의류 › 여성의류 | 167 | 32.9% | 96.2% | 49 | Dec | |
| 14 | 레깅스 | 패션의류 › 여성의류 | 164 | 36.2% | 85.9% | 76 | Aug | |
| 15 | 정장세트 | 패션의류 › 여성의류 | 164 | 32.8% | 94.8% | 100 | Aug | |
| 16 | 러닝/캐미솔 | 패션의류 › 여성언더웨어/잠옷 | 156 | 31.8% | 93.3% | 74 | Jan | |
| 17 | 브라 | 패션의류 › 여성언더웨어/잠옷 | 155 | 32% | 91.8% | 67 | Dec | |
| 18 | 잠옷/홈웨어 | 패션의류 › 여성언더웨어/잠옷 | 152 | 32.6% | 88.9% | 95 | Sep | |
| 19 | 속치마/속바지 | 패션의류 › 여성언더웨어/잠옷 | 142 | 29.7% | 91.2% | 59 | Jan | |
| 20 | 팬티 | 패션의류 › 여성언더웨어/잠옷 | 141 | 31.3% | 85.5% | 91 | Sep | |
| 21 | 슬립 | 패션의류 › 여성언더웨어/잠옷 | 137 | 33.7% | 77.3% | 88 | Sep | |
| 22 | 보정속옷 | 패션의류 › 여성언더웨어/잠옷 | 130 | 27.3% | 90.2% | 100 | Dec | |
| 23 | 유니폼/단체복 | 패션의류 › 여성의류 | 128 | 30.6% | 79.3% | 100 | Aug | |
| 24 | 잠옷/홈웨어 | 패션의류 › 남성언더웨어/잠옷 | 123 | 36.2% | 64.7% | 91 | Sep | |
| 25 | 시즌성내의 | 패션의류 › 여성언더웨어/잠옷 | 122 | 27.2% | 85.6% | 38 | Aug | |
| 26 | 언더웨어소품 | 패션의류 › 여성언더웨어/잠옷 | 117 | 31.6% | 70.5% | 61 | Jan | |
| 27 | 한복 | 패션의류 › 여성의류 | 108 | 22.6% | 91.2% | 100 | Jun | |
| 28 | 파티복 | 패션의류 › 여성의류 | 92 | 19% | 92.5% | 100 | Jul | |
| 29 | 코디세트 | 패션의류 › 남성의류 | 84 | 41.2% | 38.7% | 60 | Feb | |
| 30 | 티셔츠 | 패션의류 › 남성의류 | 78 | 40.8% | 36.4% | 100 | Jan |
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Data as of: 2026-09-30 · NAVER Shopping Insight
Choose gender and age to rank the categories that group buys more than average.
Click fashion, electronics, food etc. to re-rank within that group.
Click a category to see its cheapest month and demand peak in the Shopping Timing Calendar.
The categories with the highest women in their 40s share are 코디세트, 점프슈트, 스커트. Narrow by top category in the table to match a budget.
The higher the skew index, the better women in their 40s targeting performs for that category. Near 100, run without gender or age targeting.
(category share of the age group ÷ average share across all categories) × (share of the gender ÷ average) × 100. 100 is average; higher means the category is concentrated in that segment.
Small categories with data in fewer than 4 of 6 age bands are excluded. The overall ranking also leaves out books and lessons/travel; they appear when you narrow to that top category.