Gifts for women in their 30s — 여가/생활편의 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
1사진/영상 촬영여가/생활편의 › 생활편의24846.8%74.9%98Jun
2필라테스/요가여가/생활편의 › 예체능레슨24239.1%87.6%100Jun
3뷰티여가/생활편의 › 자기계발/취미 레슨22634.8%91.8%100Jun
4기타클래스여가/생활편의 › 원데이클래스22442.4%74.9%100Jun
5수공예 클래스여가/생활편의 › 원데이클래스21436.7%82.4%100Jun
6공예여가/생활편의 › 자기계발/취미 레슨20735%83.8%99Jun
7쿠킹 클래스여가/생활편의 › 원데이클래스20434.4%83.8%73Jun
8공연/티켓여가/생활편의 › 국내여행/체험15531.3%69.9%100Mar
9댄스/무용여가/생활편의 › 예체능레슨15526.4%82.9%100Jun
10온라인 콘텐츠여가/생활편의 › 생활편의14432.8%62.3%90Jun
11미술여가/생활편의 › 예체능레슨13922.5%87.3%100Jun
12기타여가/생활편의 › 예체능레슨13630.9%62.5%100Dec
13피트니스여가/생활편의 › 예체능레슨13335%53.7%100Jun
14입장권여가/생활편의 › 해외여행13228%66.7%84Jun
15커피/요리여가/생활편의 › 자기계발/취미 레슨13026.5%69.3%100Jun
16PT여가/생활편의 › 예체능레슨12733.9%53.1%0Jun
17e쿠폰여가/생활편의 › 생활편의12529.6%59.8%82Jun
18해외숙박여가/생활편의 › 해외여행12324.7%70.7%100Jun
19취업/자격증/기타여가/생활편의 › 자기계발/취미 레슨12326.9%64.9%100Jun
20이동/교통편의여가/생활편의 › 해외여행12129.5%57.8%74Jun
21보컬/악기여가/생활편의 › 예체능레슨11724.2%68.5%100Jun
22무예/무도여가/생활편의 › 예체능레슨11537.6%43.4%100Jun
23지류/카드 상품권여가/생활편의 › 생활편의11432.8%49.2%96Jun
24액티비티여가/생활편의 › 국내여행/체험11025%62.1%100Mar
25와이파이/USIM여가/생활편의 › 해외여행10728.4%53.2%100Jul
26외국어여가/생활편의 › 자기계발/취미 레슨10019.5%72.8%100Jun
27가전/가구 설치여가/생활편의 › 홈케어서비스9932.7%43%100Jun
28해외패키지/기타여가/생활편의 › 해외여행9620.8%65.3%91Jun
29국내숙박여가/생활편의 › 국내여행/체험9320.1%65.4%100Jun
30해외항공권여가/생활편의 › 해외여행8921.3%59%71Apr

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 사진/영상 촬영, 필라테스/요가, 뷰티. 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.