Tech Platform Moat / CAC Inflation

The framework reads SaaS quality through customer acquisition cost (CAC) trajectory across the trailing 8 quarters. The pattern fires when CAC has expanded faster than annual contract value (ACV) for at least 6 of those quarters, customer-acquisition-cost payback period has extended beyond 24 months, and management commentary describes the CAC expansion as transitory. The diagnostic is the trajectory and the framing, not the absolute CAC number. SaaS companies with 18-month CAC payback that has been stable across cycles are passing the framework's read; SaaS companies with 12-month payback that has been deteriorating quarterly are firing the pattern.

CAC payback period measures how long it takes for the recurring revenue from a new customer to repay the cost of acquiring that customer. The framework reads CAC payback as the leading indicator of SaaS unit economics health. Payback periods under 18 months historically support compounding growth investment with tight feedback loops. Payback periods extending past 24 months indicate the company must hold customers longer to recoup acquisition cost, which compounds churn risk. The framework's diagnostic conditions track the trajectory across multiple quarters because single-quarter CAC variation is normal — sustained extension is the firing signal.

The framework reads SaaS moats through three structural conditions: net dollar retention above 110% across sustained windows (existing customers expand spending faster than they churn out), CAC payback stable or improving across cycles (acquisition efficiency holding under competitive pressure), and gross margin sustained above 70% (pricing power against substitution). Companies passing all three conditions over multiple years are reading as moat-supported. Companies failing any one condition over multiple quarters are firing the moat erosion pattern at moderate or strong magnitude. The framework does not produce moat scores; it produces composite reads on the structural conditions.

The structural read is competitive maturation. SaaS categories that produced 30%+ revenue growth at 25% gross margin contribution in earlier cycles are facing CAC inflation as competitive density has increased and the easiest customer acquisition windows have closed. The framework's case library shows the pattern firing across multiple SaaS subcategories — sales tech, marketing tech, certain HR tech — where competitive density has reached the level where unit economics deteriorate before market saturation. The pattern's resolution typically produces multiple compression of 50% to 70% from peak as the market repricing the unit economics floor for late-cycle SaaS exposures.

The framework's tech platform moat erosion pattern fires when customer acquisition cost trajectory, net dollar retention trajectory, and gross margin trajectory deteriorate concurrently across the trailing 8 quarters. The combined firing indicates the platform's competitive moat is structurally weakening — not from a single competitive event, but from cumulative pressure across multiple unit-economics dimensions. The pattern is firing on multiple SaaS exposures in the framework's panel today at varying magnitudes. Free registration shows the live firing list and per-ticker magnitude. The framework's contribution is the composite read across the three structural conditions; single-condition firings often resolve through normal operational adjustments.