Definition #
ML algorithms creating unique customer journeys based on behavior and preferences.
Key Characteristics #
- Real-time adaptation
- Cross-channel consistency
- Visual search integration
- Loyalty program linking
Why It Matters #
Increases average order value by 35% and repeat purchase rate by 50%.
Common Use Cases #
- Dynamic product recommendations
- Personalized email campaigns
- In-store AR navigation
Examples #
- Dynamic Yield
- Clerk.io
- Nosto
FAQs #
Q: Data requirements?
A: Minimum 1000 customer interactions for baseline personalization.
Q: Opt-out rates?
A: <5% when value exchange is clear (e.g., better recommendations).