S4. Persona Matching + Clustering (Mitsukoshi)
Published 2026-05-14Updated 2026-06-301 min read
1. URL · Personas
/personas· P2
2. 5 Lifestyle Personas
| Persona | Signals |
|---|---|
| Luxury collector | Regular purchases of LV/Hermes/Chanel · Black tier |
| Seasonal trendsetter | Immediate purchase of SS/FW new releases · Instagram |
| Foreign tourist | TaxRefund · FX-sensitive · single-visit purchases |
| Family shopper | Food / weekends · average basket size |
| Accessory beginner | Low-price SKUs · first purchase |
3. Data Mix
- RFM (Customer + Foreigner)
- Luxury affinity (purchase share of LV/Hermes/Chanel)
- Xiaohongshu / Dcard keywords (social personas)
4. Output UI
- Distribution of 5 persona cards
- KMeans 6 clusters (LLM labeled)
- PCA scatter plot
5. Demo Scenarios
- Single-record matching → "Luxury collector 0.62 / Seasonal trendsetter 0.18"
- Batch of 2,500 members → 6 clusters
- Clusters → campaign simulator (S5)