Revenue Leakage Quantifier
A directional diagnostic for B2B SaaS founders. Estimates the gap between the revenue your business is generating and the revenue your customer base would support at right-fit pricing — across three structural mechanisms that don't show up in the P&L. Calibrated against published benchmarks from OpenView, ProfitWell, Paddle, and Simon-Kucher.
How the math works
Leak 1 — Tier underpricing. For each lowest-tier customer behaving like a higher-tier customer, the leakage range is calculated as the gap between current tier and top tier price, multiplied by an adjustment factor of 25% (low estimate) to 75% (high estimate), annualised. The 25% lower bound assumes these customers are best-priced at one tier above current; the 75% upper bound assumes they belong on the top tier. The audit replaces this assumption with a Van Westendorp Price Sensitivity Meter run against your actual customer base.
Leak 2 — Uncaptured overage. For each top-tier customer hitting the usage ceiling with no overage mechanism, the leakage range is calculated as 15–40% of top-tier price, annualised. The range brackets typical overage capture rates observed in usage-based B2B SaaS pricing models. The audit replaces this with a Gabor-Granger demand curve to identify the optimal overage price point.
Leak 3 — Pricing-driven exits. Total churned customers, multiplied by 25–40% (assumed pricing-driven share), multiplied by blended ACV (ARR ÷ total customers). The 25–40% range reflects ProfitWell's research finding ~30% of B2B SaaS churn is pricing-attributable, alongside Paddle's 2022 study finding 40% of churned customers cite "too expensive for the value provided." Strictly speaking, this is permanent ARR exit rather than ongoing leakage, but it shares the same structural root cause.
What this instrument is, and isn't. The Founder Edition produces a directional estimate calibrated against published industry benchmarks — sufficient to surface whether revenue architecture is worth a closer look, not sufficient to act on. The full Revenue Leakage Quantifier, run inside the Revenue Architecture Audit, replaces every benchmarked coefficient with customer-validated data: Van Westendorp price sensitivity testing, Gabor-Granger demand modelling, and cohort retention analysis. The audit produces a precise, board-defensible figure with three modelled redesign scenarios.