Growth, Marketing, and Customer Success Agents¶
This document provides a comprehensive overview of Growth, Marketing, and Customer Success agents in the ConnectSoft AI Software Factory. It is written for product managers, growth teams, and stakeholders who need to understand how the Factory optimizes products post-deployment.
Growth, Marketing, and Customer Success agents operate post-production, analyzing user behavior, optimizing growth, executing marketing campaigns, running experiments, and ensuring customer success. These agents enable continuous optimization and growth after code is deployed.
Important
Growth, Marketing, and Customer Success agents are post-production agents that work continuously after deployment. They analyze real user data, optimize growth metrics, execute marketing campaigns, run A/B tests, and ensure customer success—creating a feedback loop that drives continuous product improvement.
Agent Cluster Composition¶
The Growth, Marketing, and Customer Success cluster consists of 4 specialized agents:
| Agent | Core Function | Primary Output |
|---|---|---|
| Marketing Specialist Agent | Designs and executes marketing campaigns | Marketing campaigns, content, analytics |
| Growth Strategist Agent | Analyzes growth metrics and optimizes user acquisition | Growth strategies, optimization recommendations |
| A/B Testing and Experimentation Agent | Configures and analyzes experiments | Experiment configurations, test results, insights |
| Customer Success Agent | Monitors customer satisfaction and engagement | Customer success reports, engagement metrics |
Mission and Scope¶
Growth, Marketing, and Customer Success agents are responsible for:
- Growth Optimization - Analyzing metrics and optimizing user acquisition and retention
- Marketing Execution - Designing and executing marketing campaigns
- Experimentation - Running A/B tests and experiments to optimize features
- Customer Success - Monitoring customer satisfaction and ensuring success
What They Do:
- Analyze user engagement and growth metrics
- Design marketing campaigns and content
- Configure A/B tests and experiments
- Monitor customer success metrics
- Optimize user acquisition and retention
- Generate growth and marketing reports
- Provide insights for product improvement
What They Do NOT Do:
- Generate code (Engineering agents)
- Deploy systems (DevOps agents)
- Design architecture (Architect agents)
Position in Factory Lifecycle¶
Growth, Marketing, and Customer Success agents operate post-production:
flowchart LR
Production[Production Deployment] --> Observability[Observability Engineer Agent]
Observability --> CustomerSuccess[Customer Success Agent]
CustomerSuccess --> Growth[Growth Strategist Agent]
Growth --> Marketing[Marketing Specialist Agent]
Growth --> ABTesting[A/B Testing Agent]
ABTesting --> Feedback[Feedback to Vision & Planning]
style Production fill:#e1f5ff
style CustomerSuccess fill:#fff4e1
style Growth fill:#e8f5e9
style Feedback fill:#f3e5f5
Post-Production Continuous Loop¶
flowchart TD
Monitor[Monitor Production] --> Analyze[Analyze Metrics]
Analyze --> Optimize[Optimize Performance]
Optimize --> Experiment[Run Experiments]
Experiment --> Execute[Execute Campaigns]
Execute --> Monitor
Analyze --> Feedback[Feedback to Development]
Feedback --> Vision[Vision & Planning Agents]
style Monitor fill:#e1f5ff
style Analyze fill:#fff4e1
style Optimize fill:#e8f5e9
style Feedback fill:#f3e5f5
Individual Agent Details¶
Marketing Specialist Agent¶
Role: Designs and executes marketing campaigns
Responsibilities: - Design marketing campaigns based on product features - Create marketing content and messaging - Execute marketing campaigns across channels - Analyze marketing campaign performance - Optimize marketing spend and ROI - Generate marketing reports and insights - Coordinate with Growth Strategist for campaign alignment
Inputs: - Product features and capabilities - User personas and segments - Marketing goals and budgets - Market research data
Outputs:
- Marketing campaign plans
- Marketing content and assets
- Campaign performance reports
- Marketing analytics
- Event: MarketingCampaignExecuted
Key Deliverables: - Campaign Plans - Marketing campaign strategies and execution plans - Marketing Content - Content for various marketing channels - Performance Reports - Campaign performance and ROI analysis - Marketing Analytics - Metrics and insights from campaigns
See: Detailed Marketing Specialist Agent specification in Factory Documentation
Growth Strategist Agent¶
Role: Analyzes growth metrics and optimizes user acquisition
Responsibilities: - Analyze user acquisition metrics - Monitor user retention and engagement - Identify growth opportunities - Optimize conversion funnels - Develop growth strategies - Coordinate with Marketing and A/B Testing agents - Generate growth reports and recommendations
Inputs: - Production metrics and analytics - User behavior data - Business goals - Market trends
Outputs:
- Growth strategies
- Optimization recommendations
- Growth reports
- Funnel analysis
- Event: GrowthStrategyUpdated
Key Deliverables: - Growth Strategies - Data-driven growth optimization plans - Funnel Analysis - Conversion funnel optimization insights - Growth Reports - Comprehensive growth metrics and trends - Optimization Recommendations - Actionable insights for growth
See: Detailed Growth Strategist Agent specification in Factory Documentation
A/B Testing and Experimentation Agent¶
Role: Configures and analyzes experiments
Responsibilities: - Design A/B test experiments - Configure experiment parameters - Execute experiments in production - Analyze experiment results - Determine winning variants - Generate experiment reports - Coordinate with Growth Strategist for experiment strategy
Inputs: - Feature hypotheses - Experiment requirements - User segments - Success metrics
Outputs:
- Experiment configurations
- Test results and analysis
- Winning variant recommendations
- Experiment reports
- Event: ExperimentCompleted
Key Deliverables: - Experiment Configurations - A/B test setup and parameters - Test Results - Statistical analysis of experiment outcomes - Winning Variants - Recommendations for feature rollouts - Experiment Reports - Comprehensive experiment documentation
See: Detailed A/B Testing and Experimentation Agent specification in Factory Documentation
Customer Success Agent¶
Role: Monitors customer satisfaction and engagement
Responsibilities: - Monitor customer engagement metrics - Track customer satisfaction scores - Identify at-risk customers - Analyze customer usage patterns - Generate customer success reports - Provide insights for product improvement - Coordinate with Growth Strategist for retention strategies
Inputs: - Customer usage data - Support tickets and feedback - Engagement metrics - Satisfaction surveys
Outputs:
- Customer success reports
- Engagement metrics
- At-risk customer alerts
- Product improvement recommendations
- Event: CustomerSuccessReportGenerated
Key Deliverables: - Customer Success Reports - Comprehensive customer health analysis - Engagement Metrics - Customer usage and engagement data - At-Risk Alerts - Early warning for customer churn - Improvement Recommendations - Insights for product enhancement
See: Detailed Customer Success Agent specification in Factory Documentation
Agent Collaboration Flow¶
flowchart TD
Observability[Observability Engineer Agent] --> CustomerSuccess[Customer Success Agent]
CustomerSuccess --> Growth[Growth Strategist Agent]
Growth --> Marketing[Marketing Specialist Agent]
Growth --> ABTesting[A/B Testing Agent]
Marketing --> Execute[Execute Campaigns]
ABTesting --> Analyze[Analyze Results]
Execute --> Growth
Analyze --> Growth
Growth --> Feedback[Feedback Evolution Agent]
Feedback --> Vision[Vision & Planning Agents]
style Observability fill:#e1f5ff
style Growth fill:#fff4e1
style Feedback fill:#e8f5e9
Typical Workflows¶
Workflow: Growth Optimization Cycle¶
- Customer Success Agent monitors customer engagement
- Growth Strategist Agent analyzes growth metrics
- Identifies Opportunities - Finds areas for improvement
- A/B Testing Agent designs and runs experiments
- Marketing Specialist Agent executes campaigns
- Analyze Results - Review experiment and campaign outcomes
- Feedback Evolution Agent feeds insights back to development
- Continuous Loop - Repeat cycle for continuous improvement
Workflow: Feature Experimentation¶
- Growth Strategist Agent identifies feature hypothesis
- A/B Testing Agent designs experiment
- Configure Experiment - Set up A/B test in production
- Monitor Results - Track experiment metrics
- Analyze Results - Determine winning variant
- Rollout Decision - Decide on feature rollout
- Marketing Specialist Agent creates campaign for rollout
Collaboration with Other Agents¶
With Observability Agents¶
Receive: - Production metrics - User behavior data - System health metrics
Use For: - Growth analysis - Campaign optimization - Experiment monitoring
With Platform Evolution Agents¶
Collaborate: - Feature Toggle Manager - Enable/disable features for experiments - Feedback Evolution Agent - Process user feedback - Cost Optimization Agent - Optimize marketing spend
With Vision & Planning Agents¶
Provide: - Growth insights - User feedback - Experiment results - Product improvement recommendations
Receive: - Product roadmap updates - Feature priorities - Business goals
Post-Production Benefits¶
These agents enable:
- Continuous Optimization - Systems improve automatically based on real usage
- Data-Driven Decisions - Growth strategies based on actual metrics
- Rapid Experimentation - Quick A/B tests to validate hypotheses
- Customer-Centric Evolution - Products evolve based on customer needs
- Marketing Efficiency - Optimized campaigns based on data
Related Documents¶
- Agent System Overview - How agents work together
- Platform Evolution and Runtime Agents - Runtime customization agents
- Observability Agents - Monitoring and metrics
- Vision & Planning Agents - Feedback loop to planning
- Agent Execution Flow - Execution flow details