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 | 넥케이프 | 패션잡화 › 패션소품 | 332 | 48.5% | 93.7% | 96 | Aug | View |
| 2 | 스카프 | 패션잡화 › 패션소품 | 253 | 38.1% | 91% | 84 | Jul | View |
| 3 | 숄 | 패션잡화 › 패션소품 | 249 | 36.2% | 94.4% | 89 | Jun | View |
| 4 | 코르사주 | 패션잡화 › 패션소품 | 234 | 37.7% | 84.9% | 92 | Jul | View |
| 5 | 토트백 | 패션잡화 › 여성가방 | 229 | 34.7% | 90.4% | 95 | Sep | View |
| 6 | 에코백 | 패션잡화 › 여성가방 | 229 | 34.7% | 90.5% | 79 | Dec | View |
| 7 | 샌들/슬리퍼 | 패션잡화 › 여성신발 | 220 | 33.2% | 90.7% | 16 | Jan | View |
| 8 | 크로스백 | 패션잡화 › 여성가방 | 220 | 33.7% | 89.3% | 100 | Sep | View |
| 9 | 힐/펌프스 | 패션잡화 › 여성신발 | 219 | 31.9% | 94.1% | 92 | Dec | View |
| 10 | 여성벨트 | 패션잡화 › 벨트 | 216 | 34% | 86.9% | 100 | Feb | View |
| 11 | 숄더백 | 패션잡화 › 여성가방 | 213 | 31.7% | 92% | 100 | Aug | |
| 12 | 힙색/슬링백 | 패션잡화 › 여성가방 | 212 | 34.8% | 83.5% | 100 | Dec | |
| 13 | 손수건 | 패션잡화 › 패션소품 | 209 | 34.7% | 82.6% | 69 | Feb | |
| 14 | 가방끈 | 패션잡화 › 가방소품 | 208 | 34.6% | 82.3% | 0 | Jul | |
| 15 | 플랫/로퍼 | 패션잡화 › 여성신발 | 206 | 31.8% | 88.6% | 100 | Aug | |
| 16 | 양산 | 패션잡화 › 패션소품 | 205 | 33.3% | 84.4% | 9 | Dec | |
| 17 | 기능화 | 패션잡화 › 여성신발 | 204 | 32.2% | 86.8% | 100 | Dec | |
| 18 | 클러치백 | 패션잡화 › 여성가방 | 203 | 35.3% | 78.8% | 100 | Sep | |
| 19 | 넥워머 | 패션잡화 › 패션소품 | 203 | 34.3% | 81.2% | 33 | Jul | |
| 20 | 부츠/워커 | 패션잡화 › 여성신발 | 202 | 30.8% | 90% | 43 | Aug | |
| 21 | 두건/반다나 | 패션잡화 › 모자 | 200 | 35.2% | 78% | 64 | Jan | |
| 22 | 헤어핀 | 패션잡화 › 헤어액세서리 | 199 | 29.8% | 91.7% | 100 | Sep | |
| 23 | 주얼리세트 | 패션잡화 › 주얼리 | 197 | 31.3% | 86.1% | 97 | Sep | |
| 24 | 귀걸이 | 패션잡화 › 주얼리 | 196 | 29.3% | 91.8% | 93 | Sep | |
| 25 | 이너백 | 패션잡화 › 가방소품 | 194 | 30.4% | 87.3% | 0 | Jul | |
| 26 | 스니커즈/운동화 | 패션잡화 › 여성신발 | 193 | 32.1% | 82.4% | 94 | Aug | |
| 27 | 여성양말 | 패션잡화 › 양말 | 191 | 31.8% | 82.4% | 74 | Aug | |
| 28 | 벙거지모자 | 패션잡화 › 모자 | 190 | 33.1% | 78.8% | 70 | Sep | |
| 29 | 가발 | 패션잡화 › 헤어액세서리 | 190 | 32.7% | 79.8% | 100 | Aug | |
| 30 | 머플러 | 패션잡화 › 패션소품 | 187 | 31.1% | 82.5% | 25 | Jun |
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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 넥케이프, 스카프, 숄. 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.