Stéphane Hamel is known for turning dense digital analytics, privacy, martech, and AI topics into practical understanding. Through consulting, executive teaching, MANTIS, and his new textbook, he helps teams move from technical confusion to better decisions.
Understanding privacy compliance, consent validation, and third-party script management requires transparency. MANTIS is an observability application engineered specifically for privacy, compliance, and martech professionals.
Instead of fragmented flat network logs, MANTIS reconstructs the entire causal chain behind browser requests. Know exactly what triggered a tracker, which script initiated it, and compile verifiable compliance evidence.
Organizations have never had so much data, yet they still struggle to turn this abundance into truly useful decisions. The art of digital analytics offers a different approach. This book is not a software manual; it teaches a mindset—positioning analytics as a management discipline focused on turning imperfect data into clearer, more responsible, and actionable decisions.
Built on decades of professional practice and university teaching, this guide connects marketing, strategy, privacy, statistics, and AI to help leaders, analysts, and students navigate uncertainty.
Over 30 years of advancing the digital analytics industry through pioneering tools, education, and thought leadership.
Stéphane Hamel helps organizations fix what’s broken in their marketing data. When analytics can’t be trusted, privacy risks are unclear, or martech stacks become unmanageable, he brings structure to the systems, processes, and decisions behind them. Through Immeria, his work connects marketing, privacy, technology, and AI so organizations can improve performance without losing control of governance or compliance.
Over the past 35 years, Stéphane has worked with organizations across industries to bring structure to complex data environments. He created the Digital Analytics Maturity Model (DAMM), developed tools like WASP and Da Vinci Tools (later acquired), and now builds MANTIS to expose how data actually flows across the modern martech stack. Whether it’s a GA4 implementation, a martech audit, or a data governance strategy, his focus is always the same: turn complexity into clarity, and clarity into measurable impact.
He teaches marketing and analytics at the MBA and executive level at Université Laval, training leaders to navigate the tension between performance, data, and privacy. In parallel, he advises organizations and startups on martech, privacy, and data strategy. He is known for asking the right questions, challenging assumptions, and making complex systems understandable. If you are dealing with unreliable data, growing privacy pressure, or the impact of AI on marketing, you should connect.