Skip to main content
  1. Glossary/
  2. A/

AI Personalization

84 words·1 min
Table of Contents

Definition
#

ML algorithms creating unique user journeys based on behavior and context.

Key Characteristics
#

  • Real-time adaptation
  • Cross-channel consistency
  • Privacy-safe tracking
  • Lookalike modeling

Why It Matters
#

Increases conversion rates by 35% and customer LTV by 50% (McKinsey).

Common Use Cases
#

  1. Dynamic website content
  2. Personalized email campaigns
  3. Adaptive pricing

Examples
#

  • Dynamic Yield
  • Evergage
  • Acquia Personalization

FAQs
#

Q: Data minimization?
A: Uses zero-party data with explicit consent where possible.

Q: Segment size?
A: Effective down to 1:1 personalization for logged-in users.