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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#CategoryGroupSkew indexteens shareWomen shareThis monthCheapest
1유니폼/단체복패션의류 › 여성의류2453.3%78.8%90Jun
2파티복패션의류 › 여성의류2452.8%92.7%86Jul
3유니폼/단체복패션의류 › 남성의류1974.9%42.6%55Feb
4한복패션의류 › 여성의류1381.6%91.2%84Jun
5한복패션의류 › 남성의류1233.2%40.7%95Dec
6잠옷/홈웨어패션의류 › 여성언더웨어/잠옷1171.4%88.8%63Feb
7보정속옷패션의류 › 여성언더웨어/잠옷1021.2%90%95Dec
8트레이닝복패션의류 › 여성의류1001.2%88.2%63Jun
9티셔츠패션의류 › 남성의류852.4%37.7%80Jan
10브라패션의류 › 여성언더웨어/잠옷780.9%91.9%100Dec
11언더웨어소품패션의류 › 여성언더웨어/잠옷731.1%70.7%100Jan
12브라팬티세트패션의류 › 여성언더웨어/잠옷690.8%91.1%100Nov
13티셔츠패션의류 › 여성의류530.6%93.2%86Jan
14트레이닝복패션의류 › 남성의류471.9%26.4%68Jan
15점퍼패션의류 › 남성의류461.4%34.5%9Jun
16슬립패션의류 › 여성언더웨어/잠옷440.6%77.9%100Mar
17속치마/속바지패션의류 › 여성언더웨어/잠옷430.5%91.1%96Jan
18팬티패션의류 › 여성언더웨어/잠옷400.5%85.7%100Nov
19잠옷/홈웨어패션의류 › 남성언더웨어/잠옷370.6%65%43Sep
20보정속옷패션의류 › 남성언더웨어/잠옷371.7%23.3%93Jan
21점퍼패션의류 › 여성의류350.4%92.6%12Jul
22점프슈트패션의류 › 여성의류350.4%93.5%100Dec
23레깅스패션의류 › 여성의류330.4%86.2%56Jun
24아우터패션의류 › 남성의류291.1%28.3%0Jun
25코디세트패션의류 › 남성의류290.8%38.9%49Feb
26러닝/캐미솔패션의류 › 여성언더웨어/잠옷260.3%93.2%80Jan
27팬티패션의류 › 남성언더웨어/잠옷200.6%35.9%100Nov
28니트패션의류 › 여성의류180.2%95.7%0Jul
29원피스패션의류 › 여성의류180.2%95.6%100Jan
30아우터패션의류 › 여성의류180.2%94.1%0Jul

Find buyers by category

Data as of: 2026-07-31 · 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 유니폼/단체복, 파티복, 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.