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 50s. Read top to bottom for gifts or ad targets.
이 포스팅은 쿠팡 파트너스 활동의 일환으로, 이에 따른 일정액의 수수료를 제공받습니다.
| # | Category | Group | Skew index | 50s share | Women share | This month | Cheapest | Coupang |
|---|---|---|---|---|---|---|---|---|
| 1 | 정장세트 | 패션의류 › 여성의류 | 276 | 39.9% | 94.8% | 100 | Aug | View |
| 2 | 블라우스/셔츠 | 패션의류 › 여성의류 | 260 | 37% | 96.2% | 49 | Dec | View |
| 3 | 니트 | 패션의류 › 여성의류 | 252 | 36.1% | 95.7% | 0 | Jul | View |
| 4 | 러닝/캐미솔 | 패션의류 › 여성언더웨어/잠옷 | 250 | 36.7% | 93.3% | 74 | Jan | View |
| 5 | 청바지 | 패션의류 › 여성의류 | 247 | 36.1% | 93.6% | 93 | Aug | View |
| 6 | 점프슈트 | 패션의류 › 여성의류 | 244 | 35.8% | 93.3% | 38 | Dec | View |
| 7 | 아우터 | 패션의류 › 여성의류 | 243 | 35.4% | 94.1% | 0 | Jul | View |
| 8 | 원피스 | 패션의류 › 여성의류 | 241 | 34.5% | 95.6% | 64 | Jan | View |
| 9 | 속치마/속바지 | 패션의류 › 여성언더웨어/잠옷 | 240 | 36% | 91.2% | 59 | Jan | View |
| 10 | 보정속옷 | 패션의류 › 여성언더웨어/잠옷 | 239 | 36.3% | 90.2% | 100 | Dec | View |
| 11 | 스커트 | 패션의류 › 여성의류 | 235 | 33.4% | 96.3% | 100 | Aug | |
| 12 | 바지 | 패션의류 › 여성의류 | 231 | 33.6% | 94.1% | 81 | Sep | |
| 13 | 티셔츠 | 패션의류 › 여성의류 | 222 | 32.6% | 93.4% | 94 | Jan | |
| 14 | 한복 | 패션의류 › 여성의류 | 222 | 33.3% | 91.2% | 100 | Jun | |
| 15 | 시즌성내의 | 패션의류 › 여성언더웨어/잠옷 | 221 | 35.4% | 85.6% | 38 | Aug | |
| 16 | 점퍼 | 패션의류 › 여성의류 | 212 | 31.3% | 92.7% | 52 | Jul | |
| 17 | 브라팬티세트 | 패션의류 › 여성언더웨어/잠옷 | 210 | 31.6% | 91% | 74 | Sep | |
| 18 | 브라 | 패션의류 › 여성언더웨어/잠옷 | 206 | 30.7% | 91.8% | 67 | Dec | |
| 19 | 팬티 | 패션의류 › 여성언더웨어/잠옷 | 198 | 31.7% | 85.5% | 91 | Sep | |
| 20 | 레깅스 | 패션의류 › 여성의류 | 191 | 30.4% | 85.9% | 76 | Aug | |
| 21 | 코디세트 | 패션의류 › 여성의류 | 188 | 27% | 95.6% | 100 | Sep | |
| 22 | 트레이닝복 | 패션의류 › 여성의류 | 184 | 28.6% | 88.1% | 100 | Aug | |
| 23 | 잠옷/홈웨어 | 패션의류 › 여성언더웨어/잠옷 | 182 | 28% | 88.9% | 95 | Sep | |
| 24 | 유니폼/단체복 | 패션의류 › 여성의류 | 174 | 30.1% | 79.3% | 100 | Aug | |
| 25 | 슬립 | 패션의류 › 여성언더웨어/잠옷 | 155 | 27.5% | 77.3% | 88 | Sep | |
| 26 | 언더웨어소품 | 패션의류 › 여성언더웨어/잠옷 | 142 | 27.7% | 70.5% | 61 | Jan | |
| 27 | 잠옷/홈웨어 | 패션의류 › 남성언더웨어/잠옷 | 140 | 29.7% | 64.7% | 91 | Sep | |
| 28 | 러닝 | 패션의류 › 남성언더웨어/잠옷 | 112 | 37% | 41.4% | 49 | Jan | |
| 29 | 파티복 | 패션의류 › 여성의류 | 109 | 16.1% | 92.5% | 100 | Jul | |
| 30 | 러닝팬티세트 | 패션의류 › 남성언더웨어/잠옷 | 108 | 35.8% | 41.2% | 70 | Sep |
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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 50s share are 정장세트, 블라우스/셔츠, 니트. Narrow by top category in the table to match a budget.
The higher the skew index, the better women in their 50s 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.