An ads agent that watches
spend while you sleep
A media buyer checking campaigns once a day misses the four hours a budget overspent on a dead ad set, or the morning a winning creative had its budget capped while a loser kept spending. We build an agent that watches spend continuously, recommends the shift, and asks for approval before anything above your threshold actually moves.
The role today
Ad accounts move fast enough that a daily check-in is already too slow: a budget cap gets hit at 2am and a winning ad set sits starved until someone opens the dashboard the next morning, while a losing ad set across the same campaign keeps burning spend for the same stretch of time. A media buyer managing several accounts cannot watch all of them continuously, so the correction, when it comes, comes a day or two late, and the gap between what the budget should have done and what it actually did quietly compounds every week.
What the agent takes over
The agent monitors spend and performance continuously across your ad accounts and ranks the budget shifts worth making: where to move money from an underperforming ad set toward one that is working, when an account is still in its learning phase and should not be touched yet, when a creative has fatigued and needs a pause rather than more budget. Shifts within the limit you set execute automatically and get logged; anything larger waits in an approval queue with the reasoning attached, which metric moved and over what window, so a media buyer can approve it in seconds rather than re-deriving the analysis. A daily digest in plain language replaces the habit of opening three ad dashboards every morning.
The agent’s memory of your account’s own seasonal patterns, a category that always spikes before a holiday, a creative that fatigues after roughly two weeks on your specific audience, means its recommendations get sharper every cycle rather than re-deriving the same insight from scratch each time. That history also means a recommendation comes with context: not just move budget here, but this ad set has behaved this way for the last three cycles, which gives your media buyer something to actually evaluate rather than a bare instruction to follow.
What stays with humans
Setting the overall budget and the campaign strategy, approving any shift above your threshold, and deciding when to launch or kill a campaign entirely stay with your media buyer. The agent watches continuously and recommends; a person decides on anything that changes the bigger plan.
Guards
A hard limit on auto-executed shifts means nothing large moves without approval, and every recommendation carries its reasoning so it can be checked, not just trusted. The agent is built to recognize a platform’s learning phase and will not reallocate a budget still inside it, a mistake that resets an algorithm’s targeting and is common when people or tools react too fast. A kill switch pauses all auto-execution in one message, reverting fully to manual review. Any new account or a materially changed budget structure runs in a dry run, recommendations generated and reviewed but not auto-executed, until the limits are proven safe on that specific account. If you bring media buying back in-house, we hand over the full recommendation history and the limit configuration, documented for your own team.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $3,000 | Built, launched and supervised by us, plus a monthly support plan | 3 to 5 weeks |
| Full control, handover-ready | from $5,100 | Same agent, deployed on your infrastructure with full documentation to run it yourselves | 3 to 5 weeks plus 1 to 2 weeks for handover |
Running cost is usually $20 to $150 a month in model usage, depending on volume.
Related
See the full package breakdown on the AI agents service page and performance marketing, analytics. Pair this with media planner agent, creative testing agent, competitor intelligence agent inside the same Marketing & Content group, or with the narrower ad budget allocation, ad performance reporting automation. For real numbers, see ai media buyer meta ads, media buying latam 30k installs.
Ready to put this to work on your team? Get in touch and we will map it against your current process on the first call.
FAQ
How much does a ads optimizer agent cost?
From $3,000 for one ad platform (Meta, Google or TikTok) with budget recommendations and approval-gated execution, live in 3 to 5 weeks. Covering all three platforms with cross-channel allocation usually runs from $5,000.
How long does it take to go live?
Three to five weeks: the first two weeks set your limits and test recommendations against your account's real history before anything executes, the rest tunes the approval thresholds with your media buyer watching every move.
Which channels and tools does it work with?
Meta Ads, Google Ads and TikTok Ads are standard; other platforms with an ads API can be added. It reads performance data directly from each platform, not from a dashboard export that is already a day stale.
What if it gets something wrong?
Any shift above the limit you set waits in an approval queue, never executes on its own, and every recommendation shows its reasoning (which metric moved, over what window) so a media buyer can check it before approving. We never reallocate a budget still in a platform's learning phase, which is a common and expensive mistake.
What about our data and security?
Your ad accounts stay on your own logins with access you grant and can revoke. Spend and performance data used for recommendations is not shared across clients or used to train anything beyond your own account.