Gifts for women in their teens — 패션의류 categories women in their teens 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 teens. 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 indexteens shareWomen shareThis monthCheapestCoupang
1파티복패션의류 › 여성의류2792.8%92.5%100JulView
2유니폼/단체복패션의류 › 여성의류2653.1%79.3%100AugView
3유니폼/단체복패션의류 › 남성의류1924.3%41.4%68FebView
4한복패션의류 › 여성의류1471.5%91.2%100JunView
5한복패션의류 › 남성의류1323.1%39.5%98DecView
6잠옷/홈웨어패션의류 › 여성언더웨어/잠옷1241.3%88.9%95SepView
7트레이닝복패션의류 › 여성의류850.9%88.1%100AugView
8보정속옷패션의류 › 여성언더웨어/잠옷780.8%90.2%100DecView
9티셔츠패션의류 › 남성의류741.9%36.4%100JanView
10브라패션의류 › 여성언더웨어/잠옷690.7%91.8%67DecView
11언더웨어소품패션의류 › 여성언더웨어/잠옷610.8%70.5%61Jan
12브라팬티세트패션의류 › 여성언더웨어/잠옷590.6%91%74Sep
13티셔츠패션의류 › 여성의류500.5%93.4%94Jan
14점퍼패션의류 › 남성의류451.2%34.5%53Jun
15슬립패션의류 › 여성언더웨어/잠옷420.5%77.3%88Sep
16트레이닝복패션의류 › 남성의류421.5%26.1%100Aug
17잠옷/홈웨어패션의류 › 남성언더웨어/잠옷420.6%64.7%91Sep
18점프슈트패션의류 › 여성의류400.4%93.3%38Dec
19속치마/속바지패션의류 › 여성언더웨어/잠옷390.4%91.2%59Jan
20레깅스패션의류 › 여성의류370.4%85.9%76Aug
21팬티패션의류 › 여성언더웨어/잠옷370.4%85.5%91Sep
22아우터패션의류 › 남성의류361.2%28%0Jun
23점퍼패션의류 › 여성의류300.3%92.7%52Jul
24코디세트패션의류 › 남성의류290.7%38.7%60Feb
25보정속옷패션의류 › 남성언더웨어/잠옷291.3%20.8%69Jan
26니트패션의류 › 여성의류210.2%95.7%0Jul
27원피스패션의류 › 여성의류210.2%95.6%64Jan
28코디세트패션의류 › 여성의류210.2%95.6%100Sep
29아우터패션의류 › 여성의류200.2%94.1%0Jul
30바지패션의류 › 여성의류200.2%94.1%81Sep
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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 teens?

The categories with the highest women in their teens share are 파티복, 유니폼/단체복, 유니폼/단체복. 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 teens 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.