Gifts for women in their 40s — 패션의류 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
1코디세트패션의류 › 여성의류22744.9%95.6%90Feb
2점프슈트패션의류 › 여성의류20942.3%93.5%100Dec
3스커트패션의류 › 여성의류20139.5%96.3%86Jan
4트레이닝복패션의류 › 여성의류19541.9%88.2%63Jun
5점퍼패션의류 › 여성의류18537.9%92.6%12Jul
6브라팬티세트패션의류 › 여성언더웨어/잠옷18538.5%91.1%100Nov
7청바지패션의류 › 여성의류18336.9%93.7%61Jan
8티셔츠패션의류 › 여성의류18136.8%93.2%86Jan
9아우터패션의류 › 여성의류18136.4%94.1%0Jul
10원피스패션의류 › 여성의류17735%95.6%100Jan
11니트패션의류 › 여성의류17534.6%95.7%0Jul
12바지패션의류 › 여성의류17535.2%94.1%68Feb
13블라우스/셔츠패션의류 › 여성의류17033.4%96.2%92Dec
14정장세트패션의류 › 여성의류16733.4%94.8%76Jul
15레깅스패션의류 › 여성의류16436.1%86.2%56Jun
16러닝/캐미솔패션의류 › 여성언더웨어/잠옷15832.1%93.2%80Jan
17브라패션의류 › 여성언더웨어/잠옷15531.9%91.9%100Dec
18잠옷/홈웨어패션의류 › 여성언더웨어/잠옷15232.4%88.8%63Feb
19속치마/속바지패션의류 › 여성언더웨어/잠옷14329.7%91.1%96Jan
20팬티패션의류 › 여성언더웨어/잠옷14231.4%85.7%100Nov
21슬립패션의류 › 여성언더웨어/잠옷13833.6%77.9%100Mar
22보정속옷패션의류 › 여성언더웨어/잠옷13027.4%90%95Dec
23유니폼/단체복패션의류 › 여성의류12530.1%78.8%90Jun
24잠옷/홈웨어패션의류 › 남성언더웨어/잠옷12536.4%65%43Sep
25시즌성내의패션의류 › 여성언더웨어/잠옷12327.2%85.7%4Jul
26언더웨어소품패션의류 › 여성언더웨어/잠옷11530.9%70.7%100Jan
27한복패션의류 › 여성의류10822.5%91.2%84Jun
28파티복패션의류 › 여성의류8818%92.7%86Jul
29코디세트패션의류 › 남성의류8441.1%38.9%49Feb
30티셔츠패션의류 › 남성의류7939.7%37.7%80Jan

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 코디세트, 점프슈트, 스커트. 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.