Campaigns that run themselves.
Even while you sleep.
Built on AgentOS for the direct-to-consumer e-commerce group of a global consumer-electronics brand: a team of AI agents plans media strategy, sets up campaigns across four major ad platforms, watches performance around the clock, and proposes optimizations a human approves in a click.
In an early live campaign — deliberately small budget — the agents ran unattended overnight and held a return on ad spend more than 3× the human-managed benchmark's best, reaching 77× return within the first three days and 98× as the campaign matured.
Talk to usPowered by Interactor AgentOS · Built with Interactor Build
Four platforms, forty markets, midnight blind spots.
Campaign setup is manual work repeated across every ad platform and every country team — audiences, tracking tags, budget structures, and naming conventions checked by hand. Performance arrives as a weekly agency report, days after the money moved. Nobody is watching overnight. And the agency retainer grows every year while the practitioners still do the repetitive work themselves.
One budget. Every platform. Managed 24/7.
Agents continuously shift budget to wherever it is earning the most — moving spend between platforms while you sleep. The result: a 2–5× increase in return on ad spend.
Five specialists, one campaign.
Strategy in the open
Five specialist agents — commander, strategist, analyst, optimizer, creative — work out channel mix, budget allocation, and KPI targets reverse-engineered from your target ROAS, in a live war room you can read.
Hands-free setup
Campaign structures, audience targeting, tracking tags, creative assignment, and naming conventions generated automatically across four major ad platforms — with a dry run simulating every API call before a single dollar moves.
Around-the-clock monitoring
Daily performance collection with automatic anomaly detection; when results drift from target, the agents reconvene and alert the team.
Optimization you approve
Root-cause diagnosis, thousand-run simulations, and top-three reallocation scenarios with predicted outcomes and confidence levels — applied only after human approval, and rolled back automatically if results degrade.
Guardrails as software
Budget caps, duplicate-campaign blocks, naming-rule enforcement, second-approver control above budget thresholds, and an immutable audit trail.
Five fields in. A handful of approvals out.
A 30-DAY CAMPAIGN
The marketer enters five fields — campaign name, budget, target ROAS, duration, products.
Agents produce the strategy — the marketer reviews and approves it.
Agents configure the platforms — dry run first, launch on command.
Agents watch daily — anomalies reconvene the war room and page the team.
Optimizations are proposed, approved in a click — and reverted automatically if they underperform.
Human involvement across a 30-day campaign: a handful of approvals.
The platform underneath every decision.
A model of the campaign world
Entities, states, and constraints are defined as software, so agents can only take allowed actions — never an off-policy spend.
Simulation before execution
Scenarios are tested against a learned model of campaign behavior before they touch a live budget.
Multi-agent orchestration
Specialist agents share one source of truth and are convened by events, not prompts — each campaign in its own isolated run.
Governance
Role-based access, dual approval on large budget moves, full audit trail, automatic rollback.
Live today in one market under a multi-year program designed to roll out one country at a time toward roughly forty.
Early, small-budget campaign results: return on ad spend more than 3× the human-managed benchmark's best — 77× in the first three days, 98× as the campaign matured — with the agents working unattended overnight. Early days, and we say so — but nobody was awake when it happened.
Your campaigns could be optimizing right now.
Five fields and an approval — that's the new campaign setup.