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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
Hold "Alt" / "Option" to enable pan & zoom

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
Hold "Alt" / "Option" to enable pan & zoom

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
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Typical Workflows

Workflow: Growth Optimization Cycle

  1. Customer Success Agent monitors customer engagement
  2. Growth Strategist Agent analyzes growth metrics
  3. Identifies Opportunities - Finds areas for improvement
  4. A/B Testing Agent designs and runs experiments
  5. Marketing Specialist Agent executes campaigns
  6. Analyze Results - Review experiment and campaign outcomes
  7. Feedback Evolution Agent feeds insights back to development
  8. Continuous Loop - Repeat cycle for continuous improvement

Workflow: Feature Experimentation

  1. Growth Strategist Agent identifies feature hypothesis
  2. A/B Testing Agent designs experiment
  3. Configure Experiment - Set up A/B test in production
  4. Monitor Results - Track experiment metrics
  5. Analyze Results - Determine winning variant
  6. Rollout Decision - Decide on feature rollout
  7. 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