The final step in your workflow is orchestrating all your campaigns in the optimal way to ensure all your work is driving the best possible results.
The key is using Optimove AI decisioning agents at every step of the decisioning process to deliver the next-best audience, campaign, offer, content, and send time to each individual customer.
Each agent runs on the same unified customer data already in Optimove—predictive scores, behavioral signals, product affinities, and multichannel history—so every decision has the full context of each customer. You set the strategy and the guardrails; the agents handle the execution.
Capabilities under AI Decisioning include:
- AI Audience Decisioning Agent to identify the customers most likely to complete a desired action—purchasing, depositing, or playing a specific game—and deliver a ready-to-use Target Group
- AI Journey Decisioning Agent (formerly Self-Optimizing Journeys) to replace rule-based journeys with AI-led journeys that determine the next-best campaign for each customer based on lifecycle stage, campaign response history, and real-time behavior
- AI Offer Decisioning Agent (formerly Self-Optimizing Campaigns) to run AI-based A/B/n tests that automatically deliver the offer, message, and channel combination each customer is most likely to respond to
- AI Send-Time Optimization Agent to learn each customer's individual engagement patterns and send at the moment they are most likely to open and act, replacing fixed schedule sends with a personalized send window per customer
- AI Content Decisioning Agent to test message variations within a single template—subject lines, body copy, calls to action—automatically shifting traffic toward the variants that drive the best outcomes for each audience
AI Decisioning Studio is the hub where you align multiple decisioning agents to a shared strategy and KPI, manage optimization coverage across campaigns, and track their combined impact from one place. Set a goal such as net revenue, activate the agents that serve it, and monitor performance without switching between separate views.