13 KiB

Raw Blame History

Project Brief: BMAD Growth Marketing Expansion Pack

Executive Summary

The BMAD Growth Marketing Expansion Pack is a revolutionary AI orchestration framework that transforms how solo entrepreneurs, digital agencies, and consultancies approach growth marketing. Built using Claude Code and inspired by the BMAD Method, it provides specialized AI agent teams, adaptive workflows, and intelligent automation for the entire marketing lifecycle. Unlike existing tools built for developers, this framework specifically targets marketers, founders, and creators who need tool-agnostic, AI-powered growth strategies that adapt to their unique business models and scale from solo operations to agency-level implementations.

Problem Statement

Growth-minded entrepreneurs and small agencies face critical challenges in the modern marketing landscape:

Fragmented Tool Ecosystem: Marketers juggle 15+ disconnected tools (HubSpot, Canva, Google Ads, Airtable, Zapier) spending $1,000+ monthly without integrated workflows or strategic coherence
Strategic Inconsistency: 70% of small businesses lack coherent marketing strategies, jumping between tactics without systematic approaches to growth
AI Implementation Gap: While AI tools exist, there's no framework for orchestrating multiple AI models into cohesive marketing operations specifically designed for non-technical marketers
Scaling Bottlenecks: Solo entrepreneurs hit growth walls because they lack systematic approaches to delegate and systematize marketing operations as they scale
Generic Solutions: Existing marketing automation platforms are built for large enterprises or developers, not the unique needs of bootstrapped entrepreneurs and small agencies

The market desperately needs an AI-first marketing framework that's tool-agnostic, entrepreneur-focused, and systematically scalable from individual to agency operations.

Proposed Solution

The BMAD Growth Marketing Expansion Pack provides a complete AI-orchestrated marketing operating system through:

5 Specialized Agent Teams: Growth Intelligence, Product Experience, Content & Community, Performance Marketing, and Technology Integration teams that work together seamlessly
Adaptive Organizational Design: Framework scales from solo entrepreneur to agency operations without requiring complete rebuilds
Tool-Agnostic Integration: Connect any MCPs and integrations best suited for specific business models rather than forcing platform lock-in
Multi-LLM Orchestration: Leverage Claude, GPT, and Gemini models for specialized tasks through unified workflows
Discovery-Driven Onboarding: Comprehensive workflow that captures business models, identifies growth objectives, and configures optimal agent team structures
Community-First Development: Open-source approach building with and for the indie hacker community

This solution succeeds by treating marketing as a systematic craft requiring specialized AI orchestration, not generic automation.

Target Users

Primary User Segment: Solo Entrepreneurs ($10K-$50K ARR)

Profile: Bootstrapped founders, course creators, SaaS builders, content creators with proven product-market fit
Current Workflow: Manual social media posting, basic email marketing, sporadic content creation, reactive customer acquisition
Pain Points: Wearing too many hats, inconsistent marketing execution, difficulty scaling beyond personal capacity
Goals: Systematize marketing operations, increase MRR by 3-5x, build repeatable growth systems, prepare for team expansion

Secondary User Segment: Digital Agencies ($50K-$100K ARR)

Profile: 2-5 person agencies serving local businesses, consultants scaling beyond personal delivery, fractional marketing teams
Current Workflow: Client work delivery, basic project management, manual reporting, limited systematization
Pain Points: Client churn, difficulty scaling team, inconsistent service delivery, pricing pressure
Goals: Standardize service delivery, increase client retention, scale team operations, command premium pricing

Tertiary User Segment: Marketing Consultancies ($25K-$75K ARR)

Profile: Experienced marketers transitioning to consulting, former agency employees building independent practices
Current Workflow: One-on-one client consulting, custom strategy development, manual implementation oversight
Pain Points: Time-for-money trap, difficulty productizing expertise, limited scalability
Goals: Create systematized methodologies, develop recurring revenue, scale beyond personal delivery

Goals & Success Metrics

Business Objectives

Build and validate framework through creator's own agency growth (primary validation)
Achieve 500 active community members within 6 months of launch
Generate 50+ community contributions (workflows, templates, integrations) by month 12
Establish BMAD as the leading AI orchestration framework for growth marketing
Develop foundation for future commercial offerings while maintaining open-source core

User Success Metrics

Average user monthly revenue growth increases by 40% within 90 days of implementation
Marketing system setup time reduced from 2-3 months to 2-3 weeks
User-reported confidence in marketing strategy increases to 85% "confident or very confident"
60% of users successfully implement at least 3 agent teams within first month

Key Performance Indicators (KPIs)

Monthly Active Marketers: Users who complete at least one full workflow per month
Agent Team Utilization: Average number of agent teams actively used per user
Workflow Completion Rate: Percentage of started onboarding workflows that reach full implementation
Community Contribution Rate: Number of user-generated workflows, templates, and integrations per month
Creator Agency Growth: Primary validation through creator's own agency scaling metrics

MVP Scope

Core Features (Must Have)

Complete Agent Team System: All 5 agent teams (Growth Intelligence, Product Experience, Content & Community, Performance Marketing, Technology Integration) fully operational
End-to-End Onboarding Workflow: Complete discovery process from business model capture through agent team configuration
Claude Code Integration: Seamless integration with Claude Code framework for workflow execution
Template System: All 8 core templates (client discovery, growth strategy, market analysis, content strategy) operational
Configuration Management: Save/restore agent team configurations and project states

Out of Scope for MVP

Multi-LLM orchestration (Claude, GPT, Gemini) - Phase 2 feature
Visual workflow builders or drag-and-drop interfaces
Direct integrations with specific marketing tools (maintaining tool-agnostic approach)
Mobile applications or standalone web interfaces
Advanced analytics dashboards
Multi-user collaboration features

MVP Success Criteria

The MVP succeeds if the creator can use it to grow their own agency by 50% within 6 months while 25 beta users report "significantly improved" marketing systematization compared to their previous approaches.

Post-MVP Vision

Phase 2 Features

Multi-LLM Orchestration: Integration with GPT-4, Gemini, and other models for specialized tasks
Advanced Workflow Library: Community-contributed workflows for specific industries and use cases
Integration Marketplace: Pre-built connectors for popular marketing tools while maintaining tool-agnostic core
Performance Analytics: Unified dashboard showing marketing performance across all agent teams

Long-term Vision

Within 2 years, BMAD Growth Marketing becomes the standard framework for AI-orchestrated marketing operations, with specialized variants for:

E-commerce growth operations
SaaS customer acquisition
Content creator monetization
Agency service delivery systematization

Expansion Opportunities

BMAD Marketing Certification: Professional certification program for AI-orchestrated marketing
Enterprise Licensing: White-label solutions for larger agencies and consultancies
Industry Specializations: Vertical-specific agent teams and workflows
Commercial Platform: Premium hosted version with advanced features while maintaining open-source core

Technical Considerations

Platform Requirements

Primary Platform: Command-line interface via Claude Code framework
Target OS: Cross-platform (Windows, macOS, Linux) via CLI
Performance Requirements: Handle complex multi-agent workflows with <500ms response time per agent interaction

Technology Preferences

Framework: Claude Code as primary orchestration layer
Agent Architecture: Modular agent system with clear interfaces and communication protocols
Data Management: YAML/JSON configuration files for agent teams and workflows
Integration Layer: MCP (Model Context Protocol) connectors for tool integrations

Architecture Considerations

Repository Structure: Monorepo with clear separation of agent teams, workflows, templates, and core framework
Service Architecture: Distributed agent system with centralized orchestration
Integration Requirements: Claude API as primary LLM, extensible to other models in Phase 2
Security/Compliance: Local execution model, no user data transmitted to third parties by default

Constraints & Assumptions

Constraints

Budget: $0 initial development budget (bootstrapped), $200/month operational for Claude API costs
Timeline: MVP launch in 2 months, Phase 2 in 4 months
Resources: Solo developer (creator) with community contributions
Technical: Must work within Claude Code framework limitations, no custom infrastructure initially

Key Assumptions

Target users are comfortable with command-line interfaces or can learn quickly
Solo entrepreneurs and small agencies are ready for AI-first marketing approaches
The growth marketing community will contribute to open-source development
Claude Code framework provides sufficient capabilities for complex agent orchestration
Users value systematic approaches over point solutions

Risks & Open Questions

Key Risks

Market Education: Target users may not understand AI orchestration benefits vs. individual AI tools
Technical Complexity: Command-line interface may limit adoption among less technical marketers
Community Adoption: Open-source model depends on community contributions for long-term success
Claude Dependency: Heavy reliance on Claude API creates availability and cost risks

Open Questions

Should we prioritize GUI development over CLI-first approach for broader adoption?
How do we balance tool-agnostic philosophy with user desire for specific integrations?
What's the optimal balance between framework flexibility and opinionated workflows?
Should agent teams have distinct "personalities" or remain functionally focused?

Areas Needing Further Research

Optimal prompt engineering for consistent agent team coordination
Market segmentation between different entrepreneur types (e-commerce, SaaS, services)
Integration architecture for maintaining tool-agnostic approach
Community contribution models that scale without quality degradation

Appendices

A. Market Research Summary

Based on analysis of existing solutions:

HubSpot/Marketo: Enterprise-focused, expensive, rigid workflows ($1000+/month)
Zapier/Make: Automation without strategic intelligence ($50-200/month)
Individual AI Tools: ChatGPT, Claude, etc. lack marketing-specific orchestration ($20-100/month)
Market Gap: No AI orchestration framework specifically designed for growth-minded entrepreneurs

B. Creator Validation Plan

Using creator's own agency as primary validation:

Implement full framework for agency operations
Document growth metrics and operational improvements
Share journey publicly through indie hacker community
Use real results to attract beta users and contributors

C. Success Measurement Framework

Creator Agency Metrics:

Monthly Recurring Revenue growth
Client acquisition cost reduction
Service delivery efficiency improvements
Team productivity increases

Community Metrics:

GitHub stars and forks
Active community members
Contributed workflows and templates
User success stories and case studies

Next Steps

Immediate Actions

Complete agent team interface definitions and test with creator's agency workflows
Implement full onboarding/discovery workflow with real business scenarios
Set up GitHub repository with proper documentation and contribution guidelines
Create demo workflows showing complete marketing strategy development
Begin documenting creator's agency transformation as primary case study

Community Launch Strategy

This Project Brief provides the foundation for BMAD Growth Marketing Expansion Pack development. The unique approach of validating through creator's own agency growth provides authentic proof-of-concept that will resonate with the target indie hacker community.

Primary validation comes from creator success, secondary validation from community adoption and contribution.

13 KiB Raw Blame History