Growth Play Agents are AI-powered assistants embedded directly in the Growth Engine. They provide contextual guidance as you discover, configure, and optimize Growth Plays in BlueConic, reducing the need for manual setup and helping you act faster on your goals.
Three agents are available, each designed for a specific stage of the Growth Play workflow:
Agent | Location | Purpose |
Advisor Agent | Growth Play LaunchPad | Recommends Growth Plays based on your goals |
Segment Agent | AI Canvas | Generates audience segments from natural language prompts |
Coaching Agent | AI Canvas | Guides configuration and troubleshooting within an active Growth Play |
Before you begin
For an overview of Growth Plays, see Growth Plays overview.
Use the Advisor Agent
The Advisor Agent is available in the Growth Play LaunchPad. Use it to identify the Growth Plays most relevant to your business goals and current BlueConic setup.
When you describe what you want to accomplish, the Advisor Agent analyzes your intent and surfaces recommended Growth Plays directly in the LaunchPad.
How to use the Advisor Agent
From the LaunchPad, enter a business goal or use case into the prompt field.
Examples include:
Recover abandoned carts
Improve customer retention
Increase loyalty engagement
Find high-intent shoppers
Reduce customer churn
Based on your request, the Advisor Agent automatically:
Recommends relevant Growth Plays
Highlights suggested plays within the LaunchPad
Explains why a Growth Play is a strong fit
Provides a confidence or match score for the recommendation
Note: For example, when asking about cart recovery opportunities, the Advisor Agent may highlight the Cart Recovery Growth Play and explain why it aligns with your objective.
Use the Segment Agent
The Segment Agent helps automate audience creation within the AI Canvas.
Instead of manually building audience logic from scratch, you can describe the audience you want to target and the Segment Agent generates recommended segments automatically.
How to use the Segment Agent
In the AI Canvas, enter a natural language description of the audience or goal you want to target. Examples include:
Create a segment of high-intent shoppers
Find customers likely to churn
Build an audience for cart recovery
Identify loyalty members close to the next tier
Create a segment for recent purchasers
The Segment Agent automatically recommends audience criteria based on your description.
Refining segments
After a segment is generated, you can:
Modify the segment manually
Continue refining it using natural language
Adjust rules and attributes directly in the canvas
Combine AI-generated logic with traditional controls
This allows you to move quickly while still maintaining full control over your audience configuration.
Use the Coaching Agent
The Coaching Agent operates directly inside the AI Canvas and provides contextual guidance throughout Growth Play configuration.
Unlike the Advisor Agent, which focuses on recommending Growth Plays, the Coaching Agent helps you configure and complete the selected play.
How to use the Coaching Agent
The Coaching Agent is triggered through natural language prompts entered within the AI Canvas.
Once prompted, the Coaching Agent analyzes the current state of your canvas and provides recommendations and guidance directly in the side panel.
The Coaching Agent can:
Recommend next configuration steps
Explain objects and settings
Identify incomplete setup steps
Help troubleshoot issues
Guide you through implementation tasks
Suggest actions based on your current progress
For example, after confirming required integrations or data sources, the Coaching Agent may recommend configuring audience segments as the next step in the workflow.
Interact with the Coaching Agent
You can interact with the Coaching Agent using natural language prompts.
Examples include:
What should I configure next?
Why is this step incomplete?
Explain this object
Help me finish this setup
How do I improve this audience?
Responses appear in the AI Canvas side panel and are contextual to your current Growth Play configuration.
Next steps
After working with Growth Play Agents, consider the following:
Review the segments generated by the Segment Agent and determine whether additional refinement is needed before activation.
Evaluate the confidence scores provided by the Advisor Agent to prioritize which Growth Plays to run first.