Three fields. Two minutes. The dollar value of marketing decisions sitting in committee instead of going live. Not a guess. The math your CFO already runs without showing you.
Best estimates are fine. The point is the order of magnitude.
Campaign edits, budget shifts, creative approvals, audience tweaks — anything that has to be decided before it can ship. Most enterprise marketing orgs run 80–250 per week.
From "we should change this" to "the change is live." Includes meetings, analysis, approvals, execution. Most enterprise orgs average 5–15 days.
The economic value lost per day a decision sits unmade — wasted spend, missed opportunity, or downstream rework. Conservative estimates start at $500/day; high-spend programs are often $5,000+.
Updates live. The "Annual delay cost" line is the one that should be on the wall.
What this number actually says: This is not how much money you are losing today. It is the size of the gap between how fast your marketing organization decides and how fast Google's AI is now executing. Closing that gap is the structural margin lever most marketing teams are not yet measuring.
If your marketing team takes more than 48 hours to reallocate budget against a fresh signal, you are not running an AI-driven marketing organization. You are running a legacy one with AI tools bolted on.
The marketing team is paid to deliver campaigns. The finance team tracks cost. The agency tracks ROAS. Nobody on the org chart is paid to compress the time between "we should do this" and "it is live." That gap — decision latency — is where the cost compounds. Every day a budget shift waits for approval is a day the AI bids on stale signals. Every week a creative test sits in committee is a week of stale audience data feeding Performance Max.
This calculator does one thing: it converts that latency into a dollar value the CFO can actually see. The math is simple on purpose. If the order of magnitude scares you, the precision of the inputs does not matter.
Most marketing leaders have never put a dollar value on a one-day decision delay. The question feels uncomfortable because the data is squishy. It does not need to be precise. The right starting estimate is "what does a day of wasted media spend in this campaign cost?" or "what is a day of competitor launch advantage worth?" Conservative number, used consistently, beats no number at all.
Decision Latency is the time dimension of marketing decision economics. Cost Per Decision is the labor + capital dimension. They are the two halves of the same problem. The Cost Per Decision calculator estimates the financial value of compressing the work; the Decision Latency calculator estimates the financial value of compressing the wait. Together they make the case for agentic AI in marketing in the only language the CFO speaks: dollars per quarter.
This calculator tells you what your delay costs. The next question is whether your delay is typical. See the Decision Latency Benchmarks — directional figures by sector and company size — to find out whether a two-week approval cycle is standard for your industry or a structural liability your faster competitors have already engineered away.
For the full argument — why latency is the hidden multiplier on Cost Per Decision, the three places it hides, and why it's a P&L problem rather than an ops one — read Decision Latency: The Rate-of-Learning Metric That Finally Has a Number.
This calculator is a companion to the 2026 Signal Architecture Framework — the audit, readiness, and decision-economics tools that operationalize how the Google ecosystem, Meridian-grade measurement, and agentic AI fit together as one system. Decision Latency sits alongside Cost Per Decision in the broader collection of Uncommon Move frameworks — three operating manuals built to be taken into a leadership meeting.
The 2026 Signal Architecture Framework is the operating manual — the Cost Per Decision worksheet, the Signal Flow Map, and the Meridian Readiness Checklist. Free. 14 pages. Built to be taken into a leadership meeting.
Get the 2026 Signal Architecture Framework →