Buyer Map

Using the last 12 months of buyer age and gender for 2,101 NAVER Shopping categories, each segment gets a ranking of categories it buys far more than average. Use it for gift ideas and ad targeting.

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.

Basis

Data

NAVER DataLab Shopping Insight age and gender share of clicks per category, last 12 months. Refreshed monthly.

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.

What the gift ranking means

Items the group buys for itself; the ranking uses the recipient's own buying pattern.