AI-Driven Personalization with Agentforce in Marketing Cloud Next

Rule-based personalisation — "show Case Study A to contacts in Financial Services, Case Study B to contacts in Technology" — has been available in marketing automation for years. Agentforce introduces a different model: AI-generated personalisation content, AI-selected variation, and AI-recommended improvements to personalisation performance.

This article explains what Agentforce-driven personalisation actually does and how it differs from the rule-based Dynamic Content approach.

What Makes AI Personalisation Different

Rule-based personalisation requires a human to:

1. Decide which audience segments should receive different content
2. Write each variation manually
3. Define the rules that determine which segment sees which variation

AI-driven personalisation changes steps 1 and 2. Agentforce can:

• Generate multiple personalised content variations from a brief or instruction
• Select which variation to show each contact based on Unified Individual data (not just simple field-matching rules)
• Suggest new personalisation opportunities based on engagement pattern analysis