Marketing Operations Research Lab & Portfolio
Exploring how marketing systems, automation, data, and AI drive revenue growth through research, real-world experiments, and practical frameworks.
“Hi , I’m Colby Wolf, a marketing operations and automation strategist with 8+ years designing scalable B2B marketing infrastructure. Vecticx is where I publish research, build frameworks, and showcase tangible work.”
Marketing is Powered by Systems
Vecticx exists to study, design, and document the infrastructure that powers modern B2B marketing organizations.
This site serves three purposes:
1. A research platform for marketing systems and automation.
2. A living portfolio of marketing operations architecture and execution.
3. A strategic lab for experimenting with AI, analytics, and growth frameworks.
Marketing Systems Research
Studying how modern marketing organizations scale.
Vecticx Research publishes original insights on:
Marketing technology stack architecture (HubSpot, Salesforce, data pipelines)
Marketing automation frameworks and lifecycle orchestration
Revenue operations system design
AI-driven marketing workflows and governance
Data integrity, attribution models, and analytics infrastructure
Organizational design for marketing operations teams
These are research-backed frameworks based on real-world implementations and technical experimentation.
Marketing Operations Portfolio
Documenting real systems, workflows, and architectures.
Vecticx Portfolio showcases tangible assets, including:
Automation flow maps and lifecycle architecture diagrams
CRM and marketing data models
Dashboard and reporting frameworks
Campaign operations playbooks
Process documentation for marketing and RevOps teams
Case studies of system optimization and performance impact
Each project focuses on how the system was designed, why decisions were made, and the measurable outcomes.
Growth Experimentation Lab
Testing emerging tools and frameworks for modern marketing.
The Vecticx Lab explores:
AI-assisted campaign orchestration
Agent-based marketing automation
Predictive analytics for marketing and sales alignment
Synthetic data and simulation for GTM strategy
Personalization engines and segmentation models
Marketing governance and AI compliance frameworks
All experiments are documented with methodology, tooling, results, and lessons learned.