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.
| # | Category | Group | Skew index | 50s share | Women share | This month | Cheapest |
|---|---|---|---|---|---|---|---|
| 1 | 정장세트 | 패션의류 › 여성의류 | 274 | 38.4% | 94.8% | 76 | Jul |
| 2 | 니트 | 패션의류 › 여성의류 | 258 | 35.8% | 95.7% | 0 | Jul |
| 3 | 블라우스/셔츠 | 패션의류 › 여성의류 | 255 | 35.2% | 96.2% | 92 | Dec |
| 4 | 아우터 | 패션의류 › 여성의류 | 250 | 35.3% | 94.1% | 0 | Jul |
| 5 | 러닝/캐미솔 | 패션의류 › 여성언더웨어/잠옷 | 247 | 35.3% | 93.2% | 80 | Jan |
| 6 | 청바지 | 패션의류 › 여성의류 | 244 | 34.7% | 93.7% | 61 | Jan |
| 7 | 속치마/속바지 | 패션의류 › 여성언더웨어/잠옷 | 240 | 35% | 91.1% | 96 | Jan |
| 8 | 원피스 | 패션의류 › 여성의류 | 237 | 32.9% | 95.6% | 100 | Jan |
| 9 | 점프슈트 | 패션의류 › 여성의류 | 236 | 33.5% | 93.5% | 100 | Dec |
| 10 | 보정속옷 | 패션의류 › 여성언더웨어/잠옷 | 236 | 34.9% | 90% | 95 | Dec |
| 11 | 스커트 | 패션의류 › 여성의류 | 231 | 31.9% | 96.3% | 86 | Jan |
| 12 | 바지 | 패션의류 › 여성의류 | 229 | 32.3% | 94.1% | 68 | Feb |
| 13 | 시즌성내의 | 패션의류 › 여성언더웨어/잠옷 | 227 | 35.2% | 85.7% | 4 | Jul |
| 14 | 한복 | 패션의류 › 여성의류 | 218 | 31.8% | 91.2% | 84 | Jun |
| 15 | 티셔츠 | 패션의류 › 여성의류 | 217 | 30.9% | 93.2% | 86 | Jan |
| 16 | 점퍼 | 패션의류 › 여성의류 | 213 | 30.6% | 92.6% | 12 | Jul |
| 17 | 브라팬티세트 | 패션의류 › 여성언더웨어/잠옷 | 201 | 29.4% | 91.1% | 100 | Nov |
| 18 | 브라 | 패션의류 › 여성언더웨어/잠옷 | 198 | 28.7% | 91.9% | 100 | Dec |
| 19 | 팬티 | 패션의류 › 여성언더웨어/잠옷 | 194 | 30.1% | 85.7% | 100 | Nov |
| 20 | 레깅스 | 패션의류 › 여성의류 | 187 | 28.8% | 86.2% | 56 | Jun |
| 21 | 코디세트 | 패션의류 › 여성의류 | 185 | 25.8% | 95.6% | 90 | Feb |
| 22 | 잠옷/홈웨어 | 패션의류 › 여성언더웨어/잠옷 | 180 | 26.9% | 88.8% | 63 | Feb |
| 23 | 트레이닝복 | 패션의류 › 여성의류 | 176 | 26.6% | 88.2% | 63 | Jun |
| 24 | 유니폼/단체복 | 패션의류 › 여성의류 | 171 | 28.9% | 78.8% | 90 | Jun |
| 25 | 슬립 | 패션의류 › 여성언더웨어/잠옷 | 152 | 26% | 77.9% | 100 | Mar |
| 26 | 잠옷/홈웨어 | 패션의류 › 남성언더웨어/잠옷 | 142 | 29% | 65% | 43 | Sep |
| 27 | 언더웨어소품 | 패션의류 › 여성언더웨어/잠옷 | 139 | 26.2% | 70.7% | 100 | Jan |
| 28 | 러닝팬티세트 | 패션의류 › 남성언더웨어/잠옷 | 120 | 35.9% | 44.6% | 95 | Nov |
| 29 | 러닝 | 패션의류 › 남성언더웨어/잠옷 | 113 | 36.2% | 41.6% | 89 | Jan |
| 30 | 시즌성내의 | 패션의류 › 남성언더웨어/잠옷 | 104 | 31.9% | 43.3% | 4 | Jun |
Data as of: 2026-07-31 · 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, 니트, 블라우스/셔츠. 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.
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