Intent can form in minutes. Marketing Agents act in that window.
Once Intent detects a relevant signal and ranks the opportunity, the agent takes over: choosing the right message, the right channel, the right variant, and the right moment to act.
This is not rules-based automation dressed up as AI. Marketing Agents reason across behavioural context, business objectives, and live performance data, then improve continuously through feedback.
The system runs as a closed loop: signal detected, opportunity ranked, moment identified, message personalised, activation delivered, outcome learned. With every cycle, precision improves.
For organisations managing millions of customers across multiple channels, that is the difference between relevance at scale and noise at scale.