Gifts for women in their 30s — 패션의류 categories women in their 30s buy most

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 30s. Read top to bottom for gifts or ad targets.

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이 포스팅은 쿠팡 파트너스 활동의 일환으로, 이에 따른 일정액의 수수료를 제공받습니다.

#CategoryGroupSkew index30s shareWomen shareThis monthCheapestCoupang
1파티복패션의류 › 여성의류30444.2%92.5%100JulView
2잠옷/홈웨어패션의류 › 여성언더웨어/잠옷13320.2%88.9%95SepView
3브라패션의류 › 여성언더웨어/잠옷12518.3%91.8%67DecView
4슬립패션의류 › 여성언더웨어/잠옷12521.8%77.3%88SepView
5코디세트패션의류 › 여성의류12417.5%95.6%100SepView
6한복패션의류 › 여성의류12318.1%91.2%100JunView
7레깅스패션의류 › 여성의류11518%85.9%76AugView
8언더웨어소품패션의류 › 여성언더웨어/잠옷10820.6%70.5%61JanView
9원피스패션의류 › 여성의류10715.1%95.6%64JanView
10브라팬티세트패션의류 › 여성언더웨어/잠옷10715.8%91%74SepView
11스커트패션의류 › 여성의류10414.6%96.3%100Aug
12트레이닝복패션의류 › 여성의류10315.8%88.1%100Aug
13팬티패션의류 › 여성언더웨어/잠옷10316.3%85.5%91Sep
14점퍼패션의류 › 여성의류10114.7%92.7%52Jul
15유니폼/단체복패션의류 › 여성의류10017%79.3%100Aug
16티셔츠패션의류 › 여성의류9814.2%93.4%94Jan
17보정속옷패션의류 › 여성언더웨어/잠옷9414%90.2%100Dec
18속치마/속바지패션의류 › 여성언더웨어/잠옷9413.9%91.2%59Jan
19바지패션의류 › 여성의류9313.3%94.1%81Sep
20니트패션의류 › 여성의류9112.8%95.7%0Jul
21러닝/캐미솔패션의류 › 여성언더웨어/잠옷9113.1%93.3%74Jan
22점프슈트패션의류 › 여성의류8812.7%93.3%38Dec
23블라우스/셔츠패션의류 › 여성의류8511.9%96.2%49Dec
24청바지패션의류 › 여성의류8211.8%93.6%93Aug
25아우터패션의류 › 여성의류8111.6%94.1%0Jul
26잠옷/홈웨어패션의류 › 남성언더웨어/잠옷8116.8%64.7%91Sep
27정장세트패션의류 › 여성의류8011.3%94.8%100Aug
28시즌성내의패션의류 › 여성언더웨어/잠옷7912.4%85.6%38Aug
29티셔츠패션의류 › 남성의류5520.2%36.4%100Jan
30한복패션의류 › 남성의류5518.6%39.5%98Dec
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Find buyers by category

Data as of: 2026-09-30 · NAVER Shopping Insight

How to use

1. Pick a segment

Choose gender and age to rank the categories that group buys more than average.

2. Narrow by top category

Click fashion, electronics, food etc. to re-rank within that group.

3. Check timing

Click a category to see its cheapest month and demand peak in the Shopping Timing Calendar.

FAQ

What are good gifts for women in their 30s?

The categories with the highest women in their 30s share are 파티복, 잠옷/홈웨어, 브라. Narrow by top category in the table to match a budget.

How is it used for ad targeting?

The higher the skew index, the better women in their 30s targeting performs for that category. Near 100, run without gender or age targeting.

Skew index

(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.

Exclusions

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.