Gifts for women in their 60s+ — 패션잡화 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
1베레모패션잡화 › 모자37133.2%79%39Jul
2기능화패션잡화 › 여성신발29524%87%88Dec
3넥케이프패션잡화 › 패션소품28221.3%93.6%44Aug
4페도라패션잡화 › 모자27934.5%57.3%100Feb
5헌팅캡패션잡화 › 모자26135.9%51.4%44Jul
6벙거지모자패션잡화 › 모자25423%78.2%100Feb
7스카프패션잡화 › 패션소품25219.6%90.9%33Jul
8코르사주패션잡화 › 패션소품23219.4%84.8%78Jul
9가발패션잡화 › 헤어액세서리22219.6%80%91Jun
10양산패션잡화 › 패션소품20316.9%85%100Dec
11손수건패션잡화 › 패션소품19316.5%82.8%100Feb
12선캡패션잡화 › 모자18417%76.8%63Dec
13암워머/토시패션잡화 › 장갑18218.2%70.8%51Feb
14여성양말패션잡화 › 양말18115.6%82%45Feb
15넥워머패션잡화 › 패션소품17415.2%81.1%4Jul
16두건/반다나패션잡화 › 모자17115.8%76.8%95Jan
17가방끈패션잡화 › 가방소품17014.6%82.5%0Jul
18패션잡화 › 패션소품16812.6%94.2%32Jun
19여행용힙색/전대패션잡화 › 여행용가방/소품16417.7%65.5%99Jun
20부츠/워커패션잡화 › 여성신발16012.6%90.1%9Apr
21토트백패션잡화 › 여성가방15812.4%90.3%100Jun
22실내화패션잡화 › 여성신발15414%77.9%51Jul
23머플러패션잡화 › 패션소품15413.2%82.5%4Jun
24캐리어커버패션잡화 › 여행용가방/소품15215.9%67.6%100Jun
25크로스백패션잡화 › 여성가방15011.9%89.2%100Jun
26여성벨트패션잡화 › 벨트14812%87.4%83Feb
27기내용 캐리어패션잡화 › 여행용가방/소품14615.3%67.6%100Jun
28여행용파우치패션잡화 › 여행용가방/소품14614.6%70.6%97Jun
29중대형 캐리어패션잡화 › 여행용가방/소품14516%64.2%100Jun
30슈즈커버패션잡화 › 신발용품14319.2%52.6%55Feb

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 베레모, 기능화, 넥케이프. 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.