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Philippines
3+ years of experience
Dominic Banguis is a Fractional CMO and Growth Marketer with 18 years of experience helping startups and scale-ups grow across B2B, B2C, SaaS, eCommerce, fintech, and emerging technologies. He has worked with global companies across the United States, Europe, Asia, and Australia, leading marketing strategy, customer acquisition, and growth initiatives that drive measurable business results. Throughout his career, Dominic has helped startups go from early-stage ideas to scalable businesses by building structured marketing systems, validating customer demand, and implementing data-driven growth strategies. Dominic holds a Master of Science in Marketing from Edinburgh Business School, Heriot-Watt University, and has completed the Disruptive Strategy Programme at the University of Oxford. He is currently pursuing a Doctorate in Business Administration, focusing on the application of artificial intelligence in marketing and business systems. As the founder of GrowthBoxx, Dominic specializes in helping founders and professionals leverage AI, automation, and modern marketing frameworks to build scalable systems without large teams. His work combines practical execution with strategic thinking, enabling individuals and organizations to operate more efficiently in an AI-driven world. His writing focuses on AI systems, automation, and the future of work, helping professionals transition from traditional roles into high-leverage, system-driven operators.

GrowthBoxx's Attribution Intelligence is a Gemini-powered AI agent designed to solve the critical problem of enterprise attribution blindness. Currently, enterprise CMOs spend billions across fragmented channels but struggle to identify which specific touchpoints actually drive revenue due to a lack of causal reasoning in traditional last-click models. Our solution ingests CRM data and leverages Google Gemini Pro's advanced reasoning capabilities to analyze complex customer journeys. It delivers fair touchpoint credit assignment, confidence scoring for every attribution decision, and actionable budget recommendations to optimize channel spend. Crucially, it provides explainable reasoning—showing exactly why a touchpoint matters, rather than just highlighting correlations. It also proactively flags unexplained deals through anomaly detection. Designed as a self-serve SaaS platform, users can simply upload a CSV and receive multi-touch attribution insights in minutes without expensive implementations. To ensure enterprise-ready compliance, the system integrates Lobster Trap for prompt inspection, policy enforcement, and secure audit trails. Ultimately, this AI-native tool empowers CMOs to gain 15-30% better ROI visibility within 90 days.
19 May 2026