Gifts for women in their 30s — 패션잡화 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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#CategoryGroupSkew index30s shareWomen shareThis monthCheapest
1헤어액세서리소품패션잡화 › 헤어액세서리34352.9%91.8%99Jul
2피어싱패션잡화 › 주얼리18228.2%91.1%100Jul
3파우치패션잡화 › 여성가방16727.3%86.8%100Jun
4키링패션잡화 › 패션소품16629.6%79.4%100Jun
5주얼리소품패션잡화 › 주얼리16229.5%77.6%100Jun
6헤어끈패션잡화 › 헤어액세서리15925.4%88.8%100Feb
7한복소품패션잡화 › 패션소품15525.7%85.5%60Jun
8동전지갑패션잡화 › 지갑15328%77.5%98Jun
9메신저백패션잡화 › 여성가방14923.9%88.3%92Feb
10아동시계패션잡화 › 시계14731.2%66.8%76Jul
11헤어핀패션잡화 › 헤어액세서리14622.5%91.9%100Jun
12기타패션소품패션잡화 › 패션소품14628.8%71.6%100Feb
13네임태그패션잡화 › 여행용가방/소품14528.3%72.6%53Jun
14반지패션잡화 › 주얼리13022.7%80.9%96Jun
15펜던트패션잡화 › 주얼리12620.5%86.8%100Nov
16숄더백패션잡화 › 여성가방12419.1%92%100Jun
17헤어밴드패션잡화 › 헤어액세서리12420.3%86.1%100Jun
18스타킹패션잡화 › 패션소품12322.4%78%28Jun
19귀걸이패션잡화 › 주얼리12319%91.8%100Jun
20백팩패션잡화 › 여성가방12219.6%88.2%98Jun
21이너백패션잡화 › 가방소품12219.9%86.6%0Jul
22여권지갑/케이스패션잡화 › 여행용가방/소품12225.4%67.7%100Jun
23힐/펌프스패션잡화 › 여성신발12018.1%94.1%69Dec
24순금기념품패션잡화 › 순금11926.9%62.6%75Jun
25목걸이패션잡화 › 주얼리11921%80.1%100Nov
26카드/명함지갑패션잡화 › 지갑11323.5%68.2%100Jun
27기타신발용품패션잡화 › 신발용품11224.7%63.9%100Jan
28부츠/워커패션잡화 › 여성신발11117.4%90.1%9Apr
29통장지갑패션잡화 › 지갑11123%68.5%100Jun
30방한모자패션잡화 › 모자11124.1%65%0Jul

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 헤어액세서리소품, 피어싱, 파우치. 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.