Gifts for men in their teens — 패션잡화 categories men 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 men in their teens. Read top to bottom for gifts or ad targets.

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#CategoryGroupSkew indexteens shareMen shareThis monthCheapest
1행커치프패션잡화 › 패션소품2583.5%55.2%78Jun
2라이터/담배용품패션잡화 › 패션소품2352.3%76.4%100Jun
3패션시계패션잡화 › 시계1771.8%73.6%100Nov
4메신저백패션잡화 › 남성가방1742.5%52.2%100Jul
5커플시계패션잡화 › 시계1601.7%70.4%100Mar
6브로치패션잡화 › 패션소품1494.3%25.9%90Jul
7와펜패션잡화 › 패션소품1391.9%54.8%81Jul
8스냅백패션잡화 › 모자1311.4%70%0Jul
9남성지갑패션잡화 › 지갑1261.6%58.9%92Jun
10시계소품패션잡화 › 시계1201.1%81.5%100Dec
11키링패션잡화 › 패션소품1164.2%20.6%100Jun
12백팩패션잡화 › 남성가방1151.6%53.7%72Jun
13시계수리용품패션잡화 › 시계1131%84.3%100Dec
14부채패션잡화 › 패션소품952.7%26.2%88Dec
15방한모자패션잡화 › 모자942%35%0Jul
16신발끈패션잡화 › 신발용품901.2%55.9%75Jul
17실내화패션잡화 › 남성신발840.8%78.4%55Sep
18기타패션소품패션잡화 › 패션소품832.2%28.4%100Feb
19카드/명함지갑패션잡화 › 지갑811.9%31.8%100Jun
20아동시계패션잡화 › 시계751.7%33.2%76Jul
21군모패션잡화 › 모자710.7%76.4%99Jan
22지갑기타세트패션잡화 › 지갑671.4%35.7%99Jun
23신발깔창패션잡화 › 신발용품620.9%51.3%76Feb
24동전지갑패션잡화 › 지갑602%22.5%98Jun
25비니패션잡화 › 모자581.2%36.4%12Jun
26스타킹패션잡화 › 패션소품561.9%22%28Jun
27스니커즈/운동화패션잡화 › 남성신발540.6%67%88Jun
28남성장갑패션잡화 › 장갑540.6%67.4%4Jul
29안경테패션잡화 › 선글라스/안경테490.6%60.9%100Jun
30열쇠지갑패션잡화 › 지갑480.9%40%100Jun

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 men in their teens?

The categories with the highest men in their teens share are 행커치프, 라이터/담배용품, 패션시계. 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 men 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.