AdBuyer · Agentic spend decisions

What to cut. What to scale. What it should make.

Every change ranked by the revenue it should make. You approve. Then we check whether we were right.

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No card required · Live in a day · Works with your existing stack

AdBuyer models marginal return across Meta, Google and Amazon and outputs an optimized budget allocation

You do not need another dashboard. You need Monday's list.

Meta grades Meta. Optimise on attributed revenue and you confidently fund people who were buying anyway.
Advice arrives without a number. Test this creative. No size, no ranking, so the list gets worked by whoever has time.
Nobody checks afterward. The change ships, the month closes, and next month's advice arrives with the same unearned credibility.

Advice without a number is a to do. AdBuyer puts the number on first, then holds itself to it.

Five agents, each owning one thing you can change

Budget and pacing

Owns allocation, ramps and rollbacks. Moves spend when the marginal return has shifted, not when a dashboard turns red.

Creative

Owns variants, fatigue and seasonal assets. Scales what is holding CPA and retires what is past frequency threshold.

Audience and targeting

Owns breadth, exclusions and structure. Fixes the exclusions quietly suppressing reach.

Feed and landing

Owns Merchant Center, landing page health and tracking. Fixes the breaks before optimising what already works.

Campaign structure

Owns consolidation, bid strategy and placements. Restructures where the account is fighting the algorithm.

Scored predictions

Each agent carries its own accuracy record, misses included, and that record decides how much weight the next proposal gets.

An AI is not spending your budget

AdBuyer does not have write access to your ad accounts. Today it recommends and you act. Every proposal carries a predicted contribution, the evidence and a confidence level. Execution behind your approval is in development, and this page will say so until it ships.

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  • Sized against a real gap, this period's shortfall, not generic best practice.
  • A predicted contribution on every item, so the list ranks itself.
  • Computed on actual orders from your own pixel, not the platform's report card.
  • Scored afterward, predicted versus actual, misses included.
  • Approved by you. Nothing moves because an agent felt confident.
$15B

Revenue monitored across the brands we work with.

160+

Connectors feeding reconciled numbers into every proposal.

$10K+

Recoverable spend found in week one, or you do not pay.

"Whatever you keep an agency for, it should not be pulling the numbers together. One strategist now covers more brands because the analysis is done before they sit down."

Agency partner, Consequential

Frequently Asked Questions

Your agency acts on the platform's numbers, same as everyone else. We change the input, then the decision. Plenty of customers keep their agency and run it on this.
Those come from the party being measured, against attributed revenue, with no predicted number and no follow up. Ours are sized against your gap, computed on orders that happened, and scored afterward.
It is recorded as wrong. Each agent carries its own accuracy record, misses included, and that record decides how much weight the next proposal gets. A system that only shows its wins teaches you to ignore it.
Yes. AdBuyer works a gap, and the gap comes from targets and pacing on reconciled numbers. Without it there is nothing to size a proposal against.
A percentage of the spend it governs. Not seats, not usage. You set the scope, a campaign, a channel or a whole account, and spend outside it is never counted and never acted on. If spend falls, the fee falls.
We find $10K+ in recoverable spend in your first week, or you do not pay.

Built to Replace Reactivity

If you're tired of reacting to revenue drops after the fact, Consequential gives you the edge.

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