Most marketing AI conversations chase Cost Per Lead. The real lever is Cost Per Decision — the labor, latency, and capital required to make and act on a marketing decision. Agentic AI collapses that cost by orders of magnitude. This is the CFO-readable version of the conversation.
Looking for the argument behind the math? Read the anchor essay: The Metric That Was Never Measurable — Until Now →
Best estimates are fine. The point is the order of magnitude, not the precise number.
Total marketing headcount, including embedded analysts, creative, ops, and channel managers.
Campaign edits, budget shifts, creative approvals, audience tweaks, bid changes — anything someone has to decide. Most enterprise orgs run 100–400/week.
Time elapsed from "we should change this" to "the change is live." Includes meetings, analysis, approvals, execution.
Salary + benefits + overhead, divided by working hours. Enterprise marketing typically $100–$140/hr.
Updates live. The "Annual capacity unlocked" line is the one to take to your CFO.
What this number actually says: A 40-person marketing organization is not going to find $29M of cash sitting in a drawer. The number is the capacity equivalent — the financial value of the human time agentic AI returns to the organization. That capacity becomes either margin (same team, more output) or growth velocity (team redeployed against bigger ambitions).
Cost Per Lead lives inside the marketing department's P&L. Cost Per Decision lives inside the entire operating expense line. Reframing the AI conversation in CPD terms moves the question from "is this a marketing tool?" to "is this a structural margin lever?" — and changes who in the C-suite is willing to fund it.
The agentic case assumes a 70% reduction in cycle time and a 50% reduction in human-touch on routine decisions. These are directional defaults, not boardroom precision — for a real engagement, replace them with measured baselines from a pilot. The point of this calculator is not the precise number; it is the realization that the metric you have been measuring (CPL) is not the metric AI moves.
This calculator is one of three tools in the 2026 Signal Architecture Framework — alongside the Signal Flow Map (how Google's ecosystem works as one connected system) and the Meridian Readiness Checklist (twelve checks before commissioning a Marketing Mix Modeling engagement).
The CPD frame restates the same metric problem inside every vertical's native KPI. In retail, the wrong unit is the click and the right unit is the cart — From Cost Per Click to Cost Per Cart walks through the Retail Decision Stack. In consumer FinTech, the wrong unit is the lead and the right unit is the funded, retained account — Cost Per Funded Account, Not Cost Per Lead covers neobanks, lending, and BNPL. In health insurance, the wrong unit is the enrollment and the right unit is the member-year — Cost Per Member-Year, Not Cost Per Enrollment covers Medicare Advantage and ACA marketing.
The Cost Per Decision Worksheet, the Signal Flow Map, and the Meridian Readiness Checklist — together as one 14-page PDF you can take into a leadership meeting.
Get the 2026 Signal Architecture Framework →