Gifts for women in their 40s — 패션잡화 categories women in their 40s 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 40s. Read top to bottom for gifts or ad targets.

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#CategoryGroupSkew index40s shareWomen shareThis monthCheapest
1귀걸이패션잡화 › 주얼리20041.2%91.8%100Jun
2아동시계패션잡화 › 시계19455%66.8%76Jul
3발찌패션잡화 › 주얼리19244%82.6%98Dec
4힐/펌프스패션잡화 › 여성신발19038.2%94.1%69Dec
5샌들/슬리퍼패션잡화 › 여성신발19039.6%91%56Jan
6피어싱패션잡화 › 주얼리18738.8%91.1%100Jul
7패션잡화 › 패션소품18537.1%94.2%32Jun
8펜던트패션잡화 › 주얼리18540.3%86.8%100Nov
9에코백패션잡화 › 여성가방17737%90.4%100Dec
10플랫/로퍼패션잡화 › 여성신발17637.8%88.3%61Jul
11백팩패션잡화 › 여성가방17537.6%88.2%98Jun
12숄더백패션잡화 › 여성가방17435.9%92%100Jun
13크로스백패션잡화 › 여성가방17236.6%89.2%100Jun
14힙색/슬링백패션잡화 › 여성가방17239.8%81.9%100Dec
15메신저백패션잡화 › 여성가방17136.6%88.3%92Feb
16부츠/워커패션잡화 › 여성신발16935.6%90.1%9Apr
17헤어밴드패션잡화 › 헤어액세서리16937.1%86.1%100Jun
18스니커즈/운동화패션잡화 › 여성신발16338.4%80.5%70Dec
19토트백패션잡화 › 여성가방16334.2%90.3%100Jun
20여성지갑패션잡화 › 지갑16036.6%82.7%90Jun
21여성벨트패션잡화 › 벨트16034.7%87.4%83Feb
22주얼리세트패션잡화 › 주얼리15934.9%86.1%100Jun
23클러치백패션잡화 › 여성가방15839%76.9%100Jun
24헤어핀패션잡화 › 헤어액세서리15832.6%91.9%100Jun
25헤어끈패션잡화 › 헤어액세서리15833.7%88.8%100Feb
26이너백패션잡화 › 가방소품15533.9%86.6%0Jul
27넥워머패션잡화 › 패션소품15335.8%81.1%4Jul
28파우치패션잡화 › 여성가방15032.8%86.8%100Jun
29팔찌패션잡화 › 주얼리14836.3%77.1%100Nov
30선캡패션잡화 › 모자14636%76.8%63Dec

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 40s?

The categories with the highest women in their 40s share are 귀걸이, 아동시계, 발찌. 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 40s 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.