Business software · Advertising operations

MediaBuy OS

The numbers. The decision. The record of what changed.

An operating workspace for media buying, connecting account performance with campaign work, rules, approvals, and an audit trail.

Visit MediaBuy OS

The MediaBuy OS portfolio overview across three synthetic ad accounts — Synthetic demo data.

See across accounts

A media buyer needs to move between account performance, campaign details, creative work, and the decisions made along the way. MediaBuy OS puts those tasks into a shared workspace.

The portfolio overview is the entry point. The next question is what to do with the information, and how to explain that decision later.

A campaign’s detail view with spend, revenue, profit, ROAS, and each ad set’s economics — One campaign’s spend, revenue, profit, and ROAS, with each ad set’s economics and decision signal, on desktop and phone.

The same campaign view in the phone layout — One campaign’s spend, revenue, profit, and ROAS, with each ad set’s economics and decision signal, on desktop and phone.

Make operating rules inspectable

The rules workspace exposes the playbook and the current operating mode. Reviewing a rule includes understanding its inputs, its conditions, and whether the system is allowed to act.

Shadow mode evaluates a rule without making live changes, and Replay tests rules against recorded snapshots. A readiness checklist blocks approval and live work until its checks pass.

A stop-loss rule in Shadow mode with its conditions, action, schedule, and stage controls

The Replay Desk after two rules ran against recorded snapshots, with paper actions and a decision tape

The live-readiness checklist on the Rules page, with dry run enforced

ShadowA stop-loss rule in Shadow mode: evaluated, but unable to change anything, with its conditions, schedule, cooldown, and accounts.ReplayTwo rules run against 4,332 recorded snapshots from a synthetic account. The 12 actions they would have taken stay on paper.ReadinessThe live-readiness checklist blocks approval and live work until its checks pass. Here, dry run is enforced.

Keep the reasoning attached to the action

Audit records and before-and-after state help connect a change to the conditions under which it was made. Every action lands in a ledger as a receipt, with the evidence the decision rested on.

That distinction matters for the interface: a recommendation, an approved action, and an observed provider result are different states. They should be visible as different states.

The receipts below are three separate synthetic changes from the demo ledger, one in each state. Provider results in the demo are simulated.

The Activity ledger listing actions as receipts with before-and-after changes

A decision receipt recommending a budget increase from $280 to $420, awaiting review

A decision receipt for an approved campaign activation with its outcome pending

A decision receipt for an executed budget increase with its observed outcome

LedgerEvery rule, operator, and dry-run action as a receipt, with its change, actor, mode, and outcome.RecommendationA rule proposes raising a daily budget from $280 to $420. It waits for approval, and nothing has changed at the provider.ApprovedAn approved activation, Paused to Active, with its approval evidence. The measured outcome is still pending.ObservedAn executed increase, $188.50 to $377, with the follow-up observation recorded as its outcome.

A portfolio example, with clear limits

The images on this site use demonstration data. They illustrate the software, not advertising returns or a promise of improved campaign performance.

The project spans the operator interface, rule evaluation, integrations, and observability. Production behavior depends on the connected account, provider permissions, operating mode, and configured policy.