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

Narrow by top category

#CategoryGroupSkew index30s shareWomen shareThis monthCheapest
1백설기식품 › 떡류16930.4%78.5%100Jul
2꿀떡/경단식품 › 떡류16328.2%81.6%96Jul
3떡케이크/세트식품 › 떡류16127.6%82.6%59Jul
4시네트롤식품 › 다이어트식품15829%77.3%100Jun
5밥/죽식품 › 밀키트15426.3%82.7%88Jun
6화과자식품 › 전통과자15027%78.7%0Apr
7파우더/스무디식품 › 음료14931.3%67.3%97Jun
8생크림식품 › 유가공품14530.1%68%77Jun
9기타잼/시럽식품 › 잼/시럽14527.8%73.8%100Apr
10맛가루/후리가케식품 › 조미료14327.6%73.5%82Jul
11잔티젠식품 › 다이어트식품14124.1%82.8%71Jul
12조림/찜식품 › 밀키트14133.6%59.5%81Feb
13기타제과/제빵재료식품 › 제과/제빵재료14028.8%68.7%71Jun
14케이크식품 › 빵/베이커리13725.7%75.7%0Apr
15샐러드식품 › 냉동/간편조리식품13628.5%67.7%100Jun
16휘핑크림식품 › 유가공품13531.1%61.3%84Jun
17구이식품 › 밀키트13328.5%66.2%86Feb
18간식/디저트식품 › 밀키트13025.2%73%78Jun
19볶음/튀김식품 › 밀키트12927.5%66.5%100Feb
20면/파스타식품 › 밀키트12830.9%58.7%82Jun
21코코아식품 › 음료12625.6%69.5%35Jun
22푸딩식품 › 젤리/사탕/초콜릿12524.4%72.6%0Apr
23초코시럽식품 › 잼/시럽12428.1%62.2%90Jun
24세트요리식품 › 밀키트12423.4%75.1%47Jun
25사과잼식품 › 잼/시럽12225.7%67.4%61Jul
26쌀가루식품 › 가루/분말류12023.3%72.8%64Jun
27주먹밥/김밥식품 › 즉석밥/즉석국12024.4%69.3%0Dec
28떡볶이식품 › 냉동/간편조리식품11822.4%74.3%100May
29히알루론산식품 › 다이어트식품11820.4%82%85Jun
30아몬드가루식품 › 가루/분말류11821.1%79.2%96Jun

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 women in their 30s?

The categories with the highest women in their 30s share are 백설기, 꿀떡/경단, 떡케이크/세트. 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 women 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.