Gifts for men in their 50s — 패션의류 categories men in their 50s 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 50s. Read top to bottom for gifts or ad targets.

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#CategoryGroupSkew index50s shareMen shareThis monthCheapest
1청바지패션의류 › 남성의류24828.7%81.1%60Jul
2러닝패션의류 › 남성언더웨어/잠옷22536.2%58.4%89Jan
3바지패션의류 › 남성의류22128.5%72.8%75Feb
4정장세트패션의류 › 남성의류21425%80.3%66Jul
5러닝팬티세트패션의류 › 남성언더웨어/잠옷21235.9%55.4%95Nov
6팬티패션의류 › 남성언더웨어/잠옷20530%64.1%100Nov
7니트패션의류 › 남성의류20428.4%67.4%0Jul
8아우터패션의류 › 남성의류19325.2%71.7%0Jun
9시즌성내의패션의류 › 남성언더웨어/잠옷19331.9%56.7%4Jun
10셔츠/남방패션의류 › 남성의류18926%68.1%86Dec
11코디세트패션의류 › 남성의류18428.3%61.1%49Feb
12트레이닝복패션의류 › 남성의류18022.9%73.6%68Jan
13보정속옷패션의류 › 남성언더웨어/잠옷17521.4%76.7%93Jan
14유니폼/단체복패션의류 › 남성의류17328.3%57.4%55Feb
15점퍼패션의류 › 남성의류17124.5%65.5%9Jun
16한복패션의류 › 남성의류14923.5%59.3%95Dec
17점프슈트패션의류 › 남성의류14717.8%77.7%71Jul
18티셔츠패션의류 › 남성의류14321.6%62.3%80Jan
19잠옷/홈웨어패션의류 › 남성언더웨어/잠옷10829%35%43Sep
20언더웨어소품패션의류 › 여성언더웨어/잠옷8226.2%29.3%100Jan
21유니폼/단체복패션의류 › 여성의류6528.9%21.2%90Jun
22슬립패션의류 › 여성언더웨어/잠옷6126%22.1%100Mar
23시즌성내의패션의류 › 여성언더웨어/잠옷5435.2%14.3%4Jul
24팬티패션의류 › 여성언더웨어/잠옷4630.1%14.3%100Nov
25레깅스패션의류 › 여성의류4228.8%13.8%56Jun
26보정속옷패션의류 › 여성언더웨어/잠옷3734.9%10%95Dec
27트레이닝복패션의류 › 여성의류3326.6%11.8%63Jun
28속치마/속바지패션의류 › 여성언더웨어/잠옷3335%8.9%96Jan
29잠옷/홈웨어패션의류 › 여성언더웨어/잠옷3226.9%11.2%63Feb
30한복패션의류 › 여성의류3031.8%8.8%84Jun

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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 50s?

The categories with the highest men in their 50s share are 청바지, 러닝, 바지. 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 50s 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.