Gifts for women in their 60s+ — 패션의류 categories women in their 60s+ 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 60s+. Read top to bottom for gifts or ad targets.

Narrow by top category

#CategoryGroupSkew index60s+ shareWomen shareThis monthCheapest
1시즌성내의패션의류 › 여성언더웨어/잠옷25421%85.7%4Jul
2한복패션의류 › 여성의류24018.6%91.2%84Jun
3보정속옷패션의류 › 여성언더웨어/잠옷21717.1%90%95Dec
4속치마/속바지패션의류 › 여성언더웨어/잠옷20716.1%91.1%96Jan
5블라우스/셔츠패션의류 › 여성의류19614.4%96.2%92Dec
6바지패션의류 › 여성의류19114.4%94.1%68Feb
7러닝/캐미솔패션의류 › 여성언더웨어/잠옷18814.3%93.2%80Jan
8아우터패션의류 › 여성의류18213.7%94.1%0Jul
9니트패션의류 › 여성의류18113.4%95.7%0Jul
10러닝팬티세트패션의류 › 남성언더웨어/잠옷17928.4%44.6%95Nov
11팬티패션의류 › 여성언더웨어/잠옷17214.2%85.7%100Nov
12원피스패션의류 › 여성의류16512.2%95.6%100Jan
13정장세트패션의류 › 여성의류16112%94.8%76Jul
14점퍼패션의류 › 여성의류15812.1%92.6%12Jul
15청바지패션의류 › 여성의류15611.8%93.7%61Jan
16티셔츠패션의류 › 여성의류15011.4%93.2%86Jan
17브라패션의류 › 여성언더웨어/잠옷14511.2%91.9%100Dec
18잠옷/홈웨어패션의류 › 여성언더웨어/잠옷13911.1%88.8%63Feb
19러닝패션의류 › 남성언더웨어/잠옷13723.3%41.6%89Jan
20유니폼/단체복패션의류 › 여성의류13111.8%78.8%90Jun
21레깅스패션의류 › 여성의류12310.1%86.2%56Jun
22스커트패션의류 › 여성의류1218.9%96.3%86Jan
23언더웨어소품패션의류 › 여성언더웨어/잠옷12112.1%70.7%100Jan
24한복패션의류 › 남성의류12121%40.7%95Dec
25시즌성내의패션의류 › 남성언더웨어/잠옷11719.2%43.3%4Jun
26유니폼/단체복패션의류 › 남성의류11218.6%42.6%55Feb
27잠옷/홈웨어패션의류 › 남성언더웨어/잠옷11012%65%43Sep
28슬립패션의류 › 여성언더웨어/잠옷1079.7%77.9%100Mar
29코디세트패션의류 › 여성의류1057.8%95.6%90Feb
30파티복패션의류 › 여성의류937.1%92.7%86Jul

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 60s+?

The categories with the highest women in their 60s+ share are 시즌성내의, 한복, 보정속옷. 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 60s+ 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.