Revenue Arc · the Run stage
One control tower for paid-media operations.
See simulated campaigns and any configured, tenant-bound live connections in one operational view. An AI copilot catches waste and proposes fixes, while live writes remain separately gated. Run it yourself, or have us run it.
Connects toStackAdapt
Pacing vs plan — current flight
LiveCopilot
CTV underpacing at 62% of plan — reallocate $8k to Search.
The problem
Media budgets don't blow up. They leak.
A CTV line quietly underpaces at 60% of plan until week three. A “great CTR” turns out to be click inflation with a collapsed conversion rate. Creative fatigue shaves click-through 20% before anyone rotates an asset.
Each one is invisible in a platform dashboard until the flight is nearly over — because catching it means logging into 16 different sites every morning and doing the math. So it doesn't get caught. That's not a diligence problem; it's an architecture problem. Checklists don't run themselves. Software does.
How it works
From connected seat to caught problem, in a couple of minutes.
Connect your seats
Start immediately with simulated campaigns. Paid workspaces can add tenant-bound read/import connections across 16 buying platforms as each integration is provisioned; live writes remain limited to separately gated pause-capable connectors.
The copilot watches, all day
It tracks pacing, efficiency, and anomalies across every channel — the leaks that a platform dashboard hides until the flight is nearly over.
It files a recommendation — you decide
Not a red badge. A specific action, its reasoning, and the dollar impact: “CTV is wasting $8.4K on invalid traffic — pause the line.” Approve it, reject it, or let a policy handle it.
What you get
A cockpit for ad spend — with a co-pilot you can trust near the controls.
One screen, every channel
Pacing vs. plan, spend, CPA/ROAS, and alerts for your whole portfolio — simulated and live campaigns side by side. Stop checking 16 tabs to answer one question.
A copilot that proposes, never disposes
The recommendation engine is deterministic; an LLM only re-words and prioritizes. It is structurally incapable of inventing an action. AI you can actually let near a real budget.
Autonomy is a dial, not a switch
Manual (you approve everything), assisted (safe changes are pre-cleared for one-click operator approval), autonomous (Scale executes guardrail-cleared actions for simulated campaigns today). Live platform writes remain separately disabled until connector-specific go-live gates are armed.
Every decision, on the record
Each acted-on recommendation becomes an immutable audit record — what was proposed, why, who approved it, what happened. The client QBR stops being archaeology.
Run it, or have us run it
Two ways to work with us.
Run it
Self-serve
Your team works the console; the copilot watches everything and files the calls; you approve what matters. A flat subscription, banded by the spend you manage. Start on manual — nothing changes without you.
Start freeHave us run it
Managed & white-label
Hand us the media and we run it end to end under your brand — same approval rail, same audit trail, your logo. Agency-grade execution, without agency-grade overhead, because the copilot does the heavy lifting.
Talk to usSee the copilot working on your own numbers.
Start free with simulated data to try the control tower and copilot. A paid plan and a configured, tenant-bound connection are required before ArcOps can monitor a real ad account.