Gifts for men in their 30s — 도서 categories men in their 30s 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 30s. Read top to bottom for gifts or ad targets.

Narrow by top category

#CategoryGroupSkew index30s shareMen shareThis monthCheapest
1네트워크/보안도서 › 컴퓨터/IT21130.6%69%83Jun
2공무원도서 › 수험서/자격증19437.9%51.1%83Jun
3도시/토목/건설도서 › 자연/과학18525.2%73.4%63Oct
4임신/출산도서 › 가정/요리17671.2%24.7%100Apr
5고등고시/전문직도서 › 수험서/자격증16831.7%53%72Jun
6요리도서 › 외국도서16836.4%46.1%80Jun
7취업/상식/적성검사도서 › 수험서/자격증16727.4%60.9%70Jun
8자연/공학도서 › 잡지16726.4%63.2%60Jul
9기계/전기/전자도서 › 자연/과학16520.4%80.8%48Jun
10게임도서 › 컴퓨터/IT16025.3%63.2%100Jun
11재테크/투자도서 › 경제/경영15725.8%60.8%100Jun
12OS/데이터베이스도서 › 컴퓨터/IT15626.6%58.4%63Jun
13국방/군사도서 › 사회/정치15521.3%72.8%94Apr
14컴퓨터도서 › 외국도서15424.2%63.6%76Jun
15공학일반/산업공학도서 › 자연/과학14821.4%68.9%52Jun
16프로그래밍 언어도서 › 컴퓨터/IT14622.5%65%61Jun
17eBook도서 › 컴퓨터/IT14624.3%59.8%68Jun
18액션/무협만화도서 › 만화14621.5%67.9%100Jun
19CEO/비즈니스맨도서 › 경제/경영14424.6%58.5%78Jul
20eBook도서 › 수험서/자격증14426.6%54.2%100Jun
21웹사이트도서 › 컴퓨터/IT14328.6%50%98Jun
22컴퓨터/게임/그래픽도서 › 잡지14315.9%90.1%100May
23eBook도서 › 경제/경영14124%58.8%96Jun
24컴퓨터공학도서 › 컴퓨터/IT14122.7%61.8%62Jun
25경제/금융/회계/물류도서 › 수험서/자격증13727.3%50%75Jul
26컴퓨터수험서도서 › 수험서/자격증13728.6%47.8%71Oct
27경영도서 › 경제/경영13624.7%55%78Jun
28경제도서 › 경제/경영13524%56.2%76Feb
29스포츠만화도서 › 만화13521.7%62.3%100Nov
30도서 › 사회/정치13221.9%60.1%56Jun

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 30s?

The categories with the highest men in their 30s share are 네트워크/보안, 공무원, 도시/토목/건설. 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 30s 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.