Gifts for women in their 30s — 패션의류 categories women in their 30s 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 30s. Read top to bottom for gifts or ad targets.

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#CategoryGroupSkew index30s shareWomen shareThis monthCheapest
1파티복패션의류 › 여성의류30646.7%92.7%86Jul
2잠옷/홈웨어패션의류 › 여성언더웨어/잠옷13421.3%88.8%63Feb
3브라패션의류 › 여성언더웨어/잠옷13120.1%91.9%100Dec
4한복패션의류 › 여성의류12819.8%91.2%84Jun
5코디세트패션의류 › 여성의류12819%95.6%90Feb
6슬립패션의류 › 여성언더웨어/잠옷12723.1%77.9%100Mar
7레깅스패션의류 › 여성의류12019.7%86.2%56Jun
8원피스패션의류 › 여성의류11416.8%95.6%100Jan
9브라팬티세트패션의류 › 여성언더웨어/잠옷11217.4%91.1%100Nov
10언더웨어소품패션의류 › 여성언더웨어/잠옷11122.2%70.7%100Jan
11스커트패션의류 › 여성의류11016.1%96.3%86Jan
12트레이닝복패션의류 › 여성의류11017.7%88.2%63Jun
13팬티패션의류 › 여성언더웨어/잠옷10817.8%85.7%100Nov
14티셔츠패션의류 › 여성의류10415.8%93.2%86Jan
15점퍼패션의류 › 여성의류10015.3%92.6%12Jul
16유니폼/단체복패션의류 › 여성의류10017.9%78.8%90Jun
17바지패션의류 › 여성의류9814.7%94.1%68Feb
18속치마/속바지패션의류 › 여성언더웨어/잠옷9715%91.1%96Jan
19점프슈트패션의류 › 여성의류9614.5%93.5%100Dec
20보정속옷패션의류 › 여성언더웨어/잠옷9615.1%90%95Dec
21러닝/캐미솔패션의류 › 여성언더웨어/잠옷9514.4%93.2%80Jan
22블라우스/셔츠패션의류 › 여성의류9413.8%96.2%92Dec
23니트패션의류 › 여성의류8913.2%95.7%0Jul
24청바지패션의류 › 여성의류8713.1%93.7%61Jan
25정장세트패션의류 › 여성의류8412.5%94.8%76Jul
26잠옷/홈웨어패션의류 › 남성언더웨어/잠옷8017.5%65%43Sep
27아우터패션의류 › 여성의류7811.7%94.1%0Jul
28시즌성내의패션의류 › 여성언더웨어/잠옷7612.6%85.7%4Jul
29티셔츠패션의류 › 남성의류5721.3%37.7%80Jan
30한복패션의류 › 남성의류5719.9%40.7%95Dec

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 30s?

The categories with the highest women in their 30s share are 파티복, 잠옷/홈웨어, 브라. 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 30s 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.