Buy. Optimize. Repeat.
Agents work the account around the clock. They draft every bid move, creative rotation, and budget shift, then post it to an operator queue with the data behind the call. A human reviews and approves the merge. Nothing reaches a live client account on autopilot.
Agentic buying
Every move is drafted, never auto-applied.
Our agents read the account the way a senior buyer would, then write the change as a reviewable request. Each one carries a hash, a clear status, and the evidence that triggered it. The operator reads the call, checks the data, and signs the merge.
- 01
Bid moves
Agents propose adjustments at the placement and ad-set level, with the marginal CPA and headroom that justify each step.
- 02
Creative rotations
Fatiguing assets get queued out and fresh variants queued in, ranked by early signal rather than gut feel.
- 03
Budget shifts
Spend follows efficiency. Agents draft reallocations across campaigns and flag the trade-offs before anything moves.
- 04
Operator merge
No request goes live until a person approves it. Reject, edit, or hold. The queue keeps a full record of who decided what.
Raise budget on Meta · Prospecting US
CPA holding under target for 6 days. Headroom to scale before efficiency turns.
Rotate creative · TikTok · Retention 25-34
Frequency past threshold. Three fresh variants ready, ranked by hook rate.
Continuous optimization
The account never stops being worked.
Between approvals, agents keep watching. They read pacing, overlap, and fatigue across every active campaign and surface the next move before performance slips. Optimization is a loop, not a weekly review.
Budget pacing
Agents track delivery against target hour by hour and draft corrections before a campaign overspends or starves a winner.
Audience overlap
Overlapping audiences quietly inflate cost and cannibalize delivery. Agents map the overlap and propose cleaner splits.
Creative fatigue
Frequency and engagement decay get caught early, so rotations are queued while a creative is still earning, not after it dies.
Fraud and guardrails
Spend is defended before it is wasted.
Agents sit between the budget and the networks. Click fraud, conversion fraud, and broken delivery get caught in real time. When a placement crosses a hard line, it is auto-paused and posted for review, so nothing burns budget while a human looks.
- 01
Click fraud
Bot traffic, click farms, and abnormal patterns are scored against baselines and excluded before they distort optimization.
- 02
Conversion fraud
Suspicious conversion signals are quarantined so the model is not trained to chase value that was never real.
- 03
Auto-pause with review
A placement that breaches a guardrail is paused instantly and posted to the queue with the evidence. The operator confirms or reopens.
- 04
Full audit trail
Every catch, pause, and approval is logged with a hash and a timestamp. The account history is reconstructable, end to end.
Auto-pause · Native · Placement 0931
Click-fraud score crossed the hard threshold. Paused and held for operator review.
Confirm pause · Conversion anomaly
Conversion spike traced to a single source. Operator confirmed the quarantine.
Reporting
One source of truth across every channel.
Meta, TikTok, native, and the rest report into one operator view. Spend, results, approved changes, and caught fraud sit in the same place, reconciled to the dollar. No exports to stitch together, no two versions of the number.
Every channel, one view
Performance from every network rolls into a single operator dashboard, normalized so the numbers actually compare.
Decisions are traceable
Each approved change links back to the data that drove it and the operator who signed it, so a result is never a mystery.
Reconciled to the dollar
Spend is matched against the platforms continuously, so the figure you read is the figure that was actually invested.
Next step
Put the loop to work on your account.
Bring us a budget and a target. We will run the buy, optimize, repeat loop with your team approving every move, and you will always know exactly what changed and why.