Gifts for men in their 30s — 식품 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.

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#CategoryGroupSkew index30s shareMen shareThis monthCheapest
1양주식품 › 주류20327.3%74.1%74Jun
2전통주(매장픽업)식품 › 주류18928.6%66.1%0Jul
3전통주(배송)식품 › 주류16227.1%59.7%71Jun
4사케/기타수입주류식품 › 주류15823.4%67.4%64Aug
5햄버거식품 › 냉동/간편조리식품14023.4%59.9%97Jun
6조림/찜식품 › 밀키트13633.6%40.5%81Feb
7청량/탄산음료식품 › 음료13525.6%52.8%100Feb
8전투식량식품 › 즉석밥/즉석국13216.4%80.2%0Dec
9고추냉이식품 › 조미료13022.1%58.8%100Jun
10면/파스타식품 › 밀키트12830.9%41.3%82Jun
11수입와인식품 › 주류12625.7%48.8%57Jun
12양고기식품 › 축산물12323.9%51.4%100Jul
13빵가루식품 › 가루/분말류12223.7%51.3%100Jun
14돼지고기식품 › 축산물12122.5%53.8%92Jun
15휘핑크림식품 › 유가공품12131.1%38.7%84Jun
16맥주식품 › 주류11822.7%52.1%100Nov
17볶음밥/컵밥/덮밥식품 › 즉석밥/즉석국11622.8%51%0Dec
18스테이크/바베큐소스식품 › 소스/드레싱11523.3%49.3%91Jun
19닭고기식품 › 축산물11325.1%44.8%100Dec
20라면식품 › 라면/면류11020.9%52.7%100Jun
21기타통조림/캔식품 › 통조림/캔10823.6%45.5%89Jun
22도시락식품 › 냉동/간편조리식품10625.4%41.7%100Dec
23초코시럽식품 › 잼/시럽10628.1%37.8%90Jun
24쇠고기식품 › 축산물10321.7%47.4%51Jun
25파우더/스무디식품 › 음료10331.3%32.7%97Jun
26튀김가루식품 › 가루/분말류10321.1%48.9%95Jun
27찌개/국식품 › 밀키트10326%39.6%93Jun
28와일드망고식품 › 다이어트식품10222.5%45.4%100Nov
29커피시럽식품 › 잼/시럽10226.5%38.6%78Nov
30축산가공식품식품 › 축산물10122.7%44.3%93Jun

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 양주, 전통주(매장픽업), 전통주(배송). 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.