Growth Architecture

Learning Objective: Get introduced to the foundation of modern growth: treating revenue as a system. Explore how high-performing companies build repeatable, efficient revenue engines by aligning acquisition, retention, and expansion through structured models like the Revenue Factory and the Bowtie. Instead of chasing isolated wins, begin to visualize growth as a series of production lines — powered by real-time data and cross-functional coordination. By understanding how recurring revenue really works (and how it differs from re-occurring revenue), walk away with a clear map of your own revenue streams and the data structures needed to support scalable, predictable growth.

Learning Objective: Uncover the real reason why growth often stalls: compounding stops. The focus shifts to identifying whether a business is compounding or decaying — and how to reverse the trend. Using examples from SaaS and AI-native companies, the session explores how modern GTM teams create self-reinforcing systems through loops: viral loops, expansion loops, advocacy loops, and more. Through the Bowtie Diagnostic and Growth System State Check, assess where current GTM motions are leaking — and how to redesign them for long-term efficiency and impact. Leave with a draft loop architecture tailored to your business context and stage.

Learning Objective: Bring everything together into one operating system. Learn how to architect modern growth machines by aligning three core elements: systems, processes, and people. The session begins with the data layer — designing a standardized model that supports real-time visibility and AI-native execution. Then, it moves into processes: frameworks like SPICED that translate strategy into repeatable action. Finally, it repositions people not just as drivers of growth, but as interpreters, coaches, and governors of compounding systems. The session culminates in designing an Operating Model — complete with cadence, incentives, scorecards, and executive behaviors — that ties it all together into a machine that compounds. Leave with a custom Growth Machine blueprint, ready to implement.

Learning Objective: Put everything into practice. Building on the first three sessions, apply the frameworks, diagnostics, and models directly to your own business. Run short, practical exercises to test loop architectures, refine system design, and gather peer feedback in real time. The focus is on turning insight into implementation — diagnosing, designing, and optimizing a live Growth Machine using real or sample data. Leave with a refined Growth Machine blueprint and clear next steps to operationalize compounding growth within your organization.