S4. Persona Matching + Clustering (AMWAY)
Published 2026-05-14Updated 2026-06-302 min read
1. URL & Personas
/personas· P2 (Consumer Insights)
2. Five Lifestyle Personas
| Persona | Core Signals |
|---|---|
| Health Influencer | Nutrilite subscription · Instagram posts · share of Diamond ABOs |
| Mom-of-kids | Home · kids' vitamins · weekday daytime activity |
| Single Household | Small portions · convenience · late-night activity |
| Senior | Nutritional supplements · phone orders |
| Trendsetter | Artistry new arrivals · SNS campaign responsiveness |
3. Data Mix
- RFM features (combined Customer + ABO)
- Category affinity (Nutrition / Beauty / Home)
- Channel share (store / ABO direct / catalog)
- Social personas (Instagram · Reddit · X keywords)
4. Processing Pipeline (KMeans)
- Feature extraction + standardization
- KMeans 6 (or elbow)
- Per-cluster averages + social enrichment → Sonnet labeling
- Labels: "Health Influencer," "Vegan Single Household," "Weekend Family Shopper," etc.
5. Output UI
- 5 persona cards (distribution bars)
- 6 cluster cards (label, member count, top 5 representative SKUs)
- PCA scatter plot
6. Guardrails
- Do not expose persona labels to the labeled members themselves
- Prohibit pregnancy / illness inference
- Flag samples with fewer than 30 members
7. Demo Scenarios
- Single-item match → "First-rank Health Influencer 0.62"
- Batch of 50,000 members → six clusters auto-labeled
- "Campaign to this cluster" → handoff to S5