Revenue Architecture framework - A 5-pillar diagnostic methodology
The Revenue Architecture is Cadorial’s proprietary diagnostic methodology. Developed from analyzing revenue systems across growth-stage companies, it identifies the five structural pillars that determine whether growth creates value or destroys capital.
Pillar 1: Unit Economics Integrity
True margin calculation, contribution analysis, blended versus cohort LTV comparison, payback waterfall modeling, and capital multiplier assessment. This pillar answers: are you actually making money on each customer, or is aggregate growth masking per-unit losses?
Pillar 2: Channel Architecture
Concentration risk scoring, efficiency variance across sources, attribution quality audit, incrementality assessment, and creative fatigue analysis. This pillar answers: how dependent are you on a single channel, and what happens if that channel degrades?
Pillar 3: Retention System
Cohort degradation modeling, M1 through M6 retention curves, LTV stability assessment, and repeat purchase driver identification. This pillar answers: is your customer quality improving, stable, or silently declining?
Pillar 4: Capital Sequencing
Hiring timing evaluation, channel expansion logic audit, tool allocation review, inventory management assessment, and spend sequencing optimization. This pillar answers: are you deploying capital in the right order, or are you burning cash on priorities that should come later?
Pillar 5: Decision Governance
Bias identification in founder decision-making, metric selection audit, KPI hierarchy evaluation, and decision error pattern documentation. This pillar answers: are your decisions being driven by clean signals or distorted by cognitive biases?
Stress Testing Methodology
Every diagnostic includes a standardized 4-scenario stress test. These scenarios represent the most common market shocks that destroy growth-stage companies.
A: CAC Inflation
Customer acquisition cost increases 20%. We calculate payback period extension, margin compression, cash runway impact, and structural breaking point.
B: Retention Drop
Cohort retention decreases 5%. We calculate LTV degradation, cohort profitability timeline, capital recovery delay, and churn cascade risk.
C: CPM Surge
Meta/Google CPMs rise 30%. We calculate channel efficiency collapse point, budget reallocation requirements, and organic dependency threshold.
D: Discount Dependency
Discount-driven revenue increases 10%. We calculate margin erosion rate, brand value degradation, repeat purchase quality impact, and AOV compression.
For each scenario, we calculate the exact point at which your structure transitions from growth-positive to capital-destructive. This reveals fragility boundaries before market pressure forces discovery.
Pattern Library
Cadorial builds institutional knowledge through documented diagnostics. Every engagement adds to our Pattern Library—a proprietary database of failure archetypes, leak patterns, cognitive biases observed in founder decision-making, and capital sequencing errors. After 30+ diagnostics, pattern recognition accelerates dramatically. After 100+, we begin identifying failure signals within the first data review. This compounding institutional knowledge is our moat. It cannot be replicated by any individual consultant, agency, or AI tool.