Optimove Native AI: A Guide to Agentic Marketing

The Big Picture

• The Optimove AI system is built on three pillars: Native AI, the Optimove MCP, and Optimove Custom Apps.
• Optimove Native AI is the internal integrated system of specialized agents operating within the Optimove platform.
• The agents include Optimization, Insights, and Creative that can be coordinated with conversational language by one central agent.
• Decisioning Agents determine which audience, campaign, offer, content, and delivery time are most appropriate, with the AI Decisioning Studio coordinating multiple decisioning agents around a shared business objective.
• Insights Agents proactively identify risks, opportunities, anomalies, and potential campaign improvements.
• Creative Agents help marketers generate and adapt copy, templates, images, and interactive experiences.
• Predictive models provide customer-level scores for conversion, future value, churn, reactivation, and future spending.
• Marketers remain in control, being responsible for strategy, governance, approvals, and final activation.

1. The Three Pillars of Optimove AI

Optimove AI supports marketers through complementary pillars: 

• Native AI: Embeds specialized AI agents directly inside Optimove to support decisioning, insights andcontent creation.
• Optimove MCP: Connects Optimove data and capabilities to external AI tools such as ChatGPT and Claude.
• Optimove Custom Apps: Deliver tailored AI-powered applications for organization-specific workflows and business needs.

Together, the three pillars let marketers use AI wherever work happens, inside Optimove, outside through an external AI tool, or on top, in a custom application. All this while staying connected to the same customer data, execution capabilities, and governance. 

2. What Is Optimove Native AI and How Does it Work?

Native AI is an integrated system of specialized agents operating within the Optimove platform. Each agent handles a specific part of the marketing workflow and is managed by Optimove Agent, one central agent that uses conversational language to enable the coordination of all tasks, from start to finish, with no complications. 

The marketer can describe, for example, a campaign goal, and the Optimove Agent will execute a sequence of tasks, coordinate a workflow, and delegate specialized work to each one of the active agents. 

The agents are organized around the three Positionless Marketing powers: 

• Decisioning Agents provide Optimization Power
• Insights Agents provide Data Power
• Creative Agents provide Creative Power

3. Optimization Power with Decisioning Agents

Decisioning Agents provide Optimization Power by helping marketers choose the right audience, campaign, offer, content, timing, and channel: 

• Journey Decisioning Agent: Selects the next best eligible campaign for each customer using lifecycle stage, past responses, predicted behavior, and content preferences.
• Offer Decisioning Agent: Uses AI-led A/B/n testing to match each customer with the treatment most likely to drive the campaign KPI.
• Send-Time Optimization Agent: Learns each customer’s preferred engagement window and personalizes delivery time.
• Content Decisioning Agent: Tests content variants in your messages and automatically sends more traffic to stronger-performing versions.
• Audience Decisioning Agent: Identifies customers most likely to complete a target action and creates ready-to-use, editable Target Groups.
• Deposit or Purchase Affinity: Finds customers most likely to convert.
• Product or Game Affinity: Finds customers with the highest predicted affinity toward a specific product, game or category. Currently in closed beta.
• Channel Priority Agent: Will predict the channel each customer is most likely to respond to. Coming soon.

The Offer, Journey, Send-time and Content Desicioning agents can be managed from an integrated decisioning hub called AI Decisioning Studio.

4. Data Power with Insights Agents

Insights Agents provide Data Power by surfacing risks, opportunities, and recommended actions. 

• AI Insights Agent: proactively monitors all marketing programs and customers to surface actionable insights for optimization, including high-value customers migrating to lower lifecycle stages, campaigns with declining conversion rates, and segments that haven't been targeted in too long.
• Content Intelligence Agent: Automatically tags the content attributes of every campaign (tone of voice, promotion type, product category) and measures how each performs across different customer segments, so marketers stop guessing and start scaling what works.
• QA Agent: (Coming soon) Reviews campaign content against brand, compliance, and governance standards automatically, so every send is clean before it reaches a human reviewer.

5. Creative Power with Creative Agents

Creative Agents provide Creative Power by helping marketers create and adapt campaign assets inside Optimove. 

• Minigame Creation Agent: Turns a brief into a live, branded minigame, handling design, rules, and mechanics based on objectives and brand guidelines, eliminating the creative bottlenecks and engineering dependency that once made minigame creation a weeks-long process.
• Content Advisor Agent: (Coming soon) Provides real-time AI-powered guidance as marketers build and refine content — recommending improvements and flagging issues before review.
• Template Creation Agent: (Coming soon) Generates and adapts campaign templates from existing approved assets, turning a brief into production-ready content in minutes.

This format keeps the main capability, value, and availability of each agent while removing the longer operational detail. 

6. Best practices to Use Optimove Native AI

Optimove Native AI supports Positionless Marketing by giving marketers greater access to Data Power, Creative Power, and Optimization Power in one connected workflow. Instead of beginning with a specific agent, marketers should start with the business outcome they want to achieve. 

• Define the objective. Choose the priority, such as conversion, retention, reactivation, revenue, customer value, or engagement.
• Identify the right customers. Use predictive models and Audience Decisioning to build a Target Group aligned with that objective.
• Activate the relevant agents. Apply Journey, Offer, Content, and Send-Time Decisioning individually or coordinate them through AI Decisioning Studio.
• Create and optimize the campaign. Use Creative and Insights Agents to produce assets, monitor performance, and identify the next best action.
• Keep the marketer in control. Review recommendations, creative outputs governance requirements, and customer impact before activation.

This approach reduces operational handoffs while preserving human expertise, strategic control, and final approval. 

7. What Makes Optimove Native AI Different?

• AI is native to the marketing workflow: Native AI operates within the environment where marketers already analyze customers, build campaigns, create content, orchestrate journeys, and measure performance. This reduces the need to export data, recreate customer context, or manually transfer AI-generated work between disconnected platforms.
• Every decision uses unified customer context: Native AI agents can work from behavioral data, lifecycle stages, predictive scores, customer attributes, campaign history, and previous response patterns. This allows marketers to start with the customer rather than with a generic campaign, segment, or AI prompt.
• Specialized agents work as a coordinated system: Optimove does not treat journey, offer, content, and send-time optimization as isolated AI features. Through AI Decisioning Studio, multiple agents can contribute to the same strategy and optimize toward a shared KPI, such as conversion, customer value, or net revenue.
• Insights can lead directly to execution: The AI Insights Agent does more than summarize dashboards or report changes. It can identify actionable opportunities and, with marketer approval, create Target Groups and campaigns, modify campaign priorities, or stop underperforming activity.
• Predictive, generative, and agentic AI work together: Predictive models help identify what customers are likely to do, generative capabilities help create or adapt campaign assets, and agentic AI coordinates decisions and operational tasks. These capabilities work from the same customer and campaign context.
• Marketers retain control: Marketers continue to define goals, KPIs, campaign parameters, brand requirements, governance rules, and approval processes. Native AI accelerates the work between strategy and activation, but responsibility for what reaches the customer remains with the marketer.
• Native AI complements the Optimove MCP and Custom Apps: Native AI manages intelligent work inside Optimove, the MCP extends Optimove into external AI tools, and Custom Apps address organization-specific workflows. Together, the three pillars allow marketers to start wherever they are already working while remaining connected to the same execution and governance layer.

In Summary

Optimove AI gives marketers three connected entry points for working with AI: Native AI inside the platform, the Optimove MCP outside the platform, and Custom Apps on top of it. 

Native AI is the pillar that turns customer data and marketing intelligence into action directly inside Optimove. 

Its Decisioning Agents help marketers identify audiences and select the right journey, offer, content, timing, and eventually channel. Its Insights Agents surface risks, opportunities, anomalies, and recommended actions. Its Creative Agents accelerate the creation and adaptation of campaign content. Predictive models provide the customer-level intelligence that helps connect each of those activities to expected customer behavior. 

The result is not simply faster content generation or another AI assistant. It is a customer-led system in which specialized AI agents help marketers move from insight to execution while governance, approval, and human judgment remain intact. 

For more insights, contact us to request a demo.