Gifts for men in their 50s — 패션잡화 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.

Narrow by top category

#CategoryGroupSkew index50s shareMen shareThis monthCheapest
1벨트부품패션잡화 › 벨트28635.8%75%0Jul
2군모패션잡화 › 모자26232.2%76.4%99Jan
3구두패션잡화 › 남성신발25528.6%83.8%0Jul
4기능화패션잡화 › 남성신발24530.7%74.9%86Jun
5시계수리용품패션잡화 › 시계23626.3%84.3%100Dec
6클러치백패션잡화 › 남성가방23330.7%71.2%100Feb
7남성벨트패션잡화 › 벨트22230.1%69.3%91Feb
8멜빵패션잡화 › 벨트21730.3%67.2%80Jul
9실내화패션잡화 › 남성신발21625.8%78.4%55Sep
10시계소품패션잡화 › 시계21124.3%81.5%100Dec
11머니클립패션잡화 › 지갑20930.5%64.3%100Jun
12부츠/워커패션잡화 › 남성신발20524.3%79.3%0Apr
13남성장갑패션잡화 › 장갑20328.2%67.4%4Jul
14브리프케이스패션잡화 › 남성가방20129%65%98Jun
15라이터/담배용품패션잡화 › 패션소품19924.4%76.4%100Jun
16패션시계패션잡화 › 시계19925.4%73.6%100Nov
17캐리어소품패션잡화 › 여행용가방/소품19231.9%56.5%95Jun
18커플시계패션잡화 › 시계18424.5%70.4%100Mar
19부츠키퍼패션잡화 › 신발용품18325.2%68.3%71Jul
20슈트케이스패션잡화 › 여행용가방/소품17729.8%55.8%81Jul
21남성양말패션잡화 › 양말17728.7%57.8%87Feb
22신발깔창패션잡화 › 신발용품17431.8%51.3%76Feb
23스냅백패션잡화 › 모자17423.3%70%0Jul
24실버바패션잡화 › 순금17439.3%41.5%19Aug
25스니커즈/운동화패션잡화 › 남성신발17324.3%67%88Jun
26샌들/슬리퍼패션잡화 › 남성신발17226.9%60%0Jul
27힙색/슬링백패션잡화 › 남성가방17226.4%61.3%100Dec
28슈즈커버패션잡화 › 신발용품17133.9%47.4%55Feb
29안경소품패션잡화 › 선글라스/안경테17128.3%56.8%100Feb
30안경테패션잡화 › 선글라스/안경테16725.7%60.9%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 50s?

The categories with the highest men in their 50s share are 벨트부품, 군모, 구두. 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.