Gifts for women in their teens — 패션잡화 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.

Narrow by top category

#CategoryGroupSkew indexteens shareWomen shareThis monthCheapest
1키링패션잡화 › 패션소품3144.2%79.4%100Jun
2브로치패션잡화 › 패션소품3004.3%74.1%90Jul
3피어싱패션잡화 › 주얼리2412.8%91.1%100Jul
4부채패션잡화 › 패션소품1882.7%73.8%88Dec
5기타패션소품패션잡화 › 패션소품1492.2%71.6%100Feb
6행커치프패션잡화 › 패션소품1483.5%44.8%78Jun
7동전지갑패션잡화 › 지갑1462%77.5%98Jun
8메신저백패션잡화 › 여성가방1421.7%88.3%92Feb
9스타킹패션잡화 › 패션소품1401.9%78%28Jun
10여성지갑패션잡화 › 지갑1251.6%82.7%90Jun
11파우치패션잡화 › 여성가방1231.5%86.8%100Jun
12방한모자패션잡화 › 모자1232%65%0Jul
13카드/명함지갑패션잡화 › 지갑1221.9%68.2%100Jun
14반지패션잡화 › 주얼리1221.6%80.9%96Jun
15가발패션잡화 › 헤어액세서리1211.6%80%91Jun
16메신저백패션잡화 › 남성가방1132.5%47.8%100Jul
17헤어핀패션잡화 › 헤어액세서리1131.3%91.9%100Jun
18아동시계패션잡화 › 시계1071.7%66.8%76Jul
19목걸이패션잡화 › 주얼리981.3%80.1%100Nov
20한복소품패션잡화 › 패션소품971.2%85.5%60Jun
21헤어끈패션잡화 › 헤어액세서리921.1%88.8%100Feb
22백팩패션잡화 › 여성가방911.1%88.2%98Jun
23주얼리세트패션잡화 › 주얼리891.1%86.1%100Jun
24주얼리소품패션잡화 › 주얼리881.2%77.6%100Jun
25팔찌패션잡화 › 주얼리871.2%77.1%100Nov
26지갑기타세트패션잡화 › 지갑851.4%64.3%99Jun
27펜던트패션잡화 › 주얼리821%86.8%100Nov
28와펜패션잡화 › 패션소품811.9%45.2%81Jul
29베레모패션잡화 › 모자741%79%39Jul
30비니패션잡화 › 모자721.2%63.6%12Jun

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 키링, 브로치, 피어싱. 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.