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.

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이 포스팅은 쿠팡 파트너스 활동의 일환으로, 이에 따른 일정액의 수수료를 제공받습니다.

#CategoryGroupSkew index30s shareWomen shareThis monthCheapestCoupang
1떡케이크/세트식품 › 떡류16026.1%82.3%86JulView
2화과자식품 › 전통과자16027.4%78.7%0AprView
3백설기식품 › 떡류15927.6%77.5%80JulView
4꿀떡/경단식품 › 떡류15626.3%80%96JulView
5기타잼/시럽식품 › 잼/시럽14927.2%73.8%90SepView
6파우더/스무디식품 › 음료14830.1%66.4%100SepView
7밥/죽식품 › 밀키트14724.5%80.8%90JunView
8시네트롤식품 › 다이어트식품14526.5%73.9%75SepView
9케이크식품 › 빵/베이커리14525.8%75.8%0AprView
10생크림식품 › 유가공품14228.2%67.6%67JunView
11기타제과/제빵재료식품 › 제과/제빵재료14228.1%68.1%86Jun
12맛가루/후리가케식품 › 조미료14226.4%72.5%72Jul
13조림/찜식품 › 밀키트14032.2%58.4%68Feb
14휘핑크림식품 › 유가공품13529.6%61.4%75Jun
15샐러드식품 › 냉동/간편조리식품13226.9%66.1%97Sep
16잔티젠식품 › 다이어트식품13221.9%81.3%100Aug
17코코아식품 › 음료13125.3%69.5%54Jun
18푸딩식품 › 젤리/사탕/초콜릿13124.4%72.3%0Apr
19면/파스타식품 › 밀키트12829.9%57.5%83Sep
20간식/디저트식품 › 밀키트12823.8%72.2%80Sep
21볶음/튀김식품 › 밀키트12625.8%65.8%97Sep
22구이식품 › 밀키트12426.2%63.7%76Aug
23주먹밥/김밥식품 › 즉석밥/즉석국12424.2%69.1%0Dec
24초콜릿식품 › 젤리/사탕/초콜릿12423.9%70%0Apr
25초코시럽식품 › 잼/시럽12327.1%61.1%100Jun
26세트요리식품 › 밀키트12222%74.9%44Jun
27젤리식품 › 젤리/사탕/초콜릿12121.7%75%0Apr
28생지/냉동반죽식품 › 빵/베이커리12022.3%72.2%0Apr
29사과잼식품 › 잼/시럽11924.4%65.7%61Jul
30과자/쿠키세트식품 › 스낵/과자11922.7%70.4%0Apr
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Find buyers by category

Data as of: 2026-09-30 · 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 떡케이크/세트, 화과자, 백설기. 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.