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.

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#CategoryGroupSkew index60s+ shareWomen shareThis monthCheapestCoupang
1시즌성내의패션의류 › 여성언더웨어/잠옷24821.2%85.6%38AugView
2한복패션의류 › 여성의류24419.6%91.2%100JunView
3보정속옷패션의류 › 여성언더웨어/잠옷22117.9%90.2%100DecView
4속치마/속바지패션의류 › 여성언더웨어/잠옷20916.8%91.2%59JanView
5블라우스/셔츠패션의류 › 여성의류20815.8%96.2%49DecView
6바지패션의류 › 여성의류19715.3%94.1%81SepView
7러닝/캐미솔패션의류 › 여성언더웨어/잠옷19315.1%93.3%74JanView
8니트패션의류 › 여성의류17813.6%95.7%0JulView
9아우터패션의류 › 여성의류17813.8%94.1%0JulView
10팬티패션의류 › 여성언더웨어/잠옷17815.2%85.5%91SepView
11원피스패션의류 › 여성의류17313.2%95.6%64Jan
12정장세트패션의류 › 여성의류16612.8%94.8%100Aug
13청바지패션의류 › 여성의류16112.6%93.6%93Aug
14러닝팬티세트패션의류 › 남성언더웨어/잠옷15928.3%41.2%70Sep
15점퍼패션의류 › 여성의류15812.5%92.7%52Jul
16티셔츠패션의류 › 여성의류15612.2%93.4%94Jan
17브라패션의류 › 여성언더웨어/잠옷15112%91.8%67Dec
18잠옷/홈웨어패션의류 › 여성언더웨어/잠옷14111.6%88.9%95Sep
19유니폼/단체복패션의류 › 여성의류13612.5%79.3%100Aug
20러닝패션의류 › 남성언더웨어/잠옷13624%41.4%49Jan
21레깅스패션의류 › 여성의류12710.8%85.9%76Aug
22스커트패션의류 › 여성의류1259.5%96.3%100Aug
23언더웨어소품패션의류 › 여성언더웨어/잠옷12412.9%70.5%61Jan
24한복패션의류 › 남성의류12222.5%39.5%98Dec
25시즌성내의패션의류 › 남성언더웨어/잠옷11419.3%43.3%32Aug
26슬립패션의류 › 여성언더웨어/잠옷11010.4%77.3%88Sep
27유니폼/단체복패션의류 › 남성의류11019.4%41.4%68Feb
28잠옷/홈웨어패션의류 › 남성언더웨어/잠옷11012.4%64.7%91Sep
29코디세트패션의류 › 여성의류1068.1%95.6%100Sep
30파티복패션의류 › 여성의류1018%92.5%100Jul
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Find buyers by category

Data as of: 2026-09-30 · 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.