It asks every morning what an expert would ask

Short answer

An experienced account manager asks the same questions every morning: which keywords take clicks and never sell, which product is advertising while its stock runs out, which placement is burning money. The engine asks those questions every day for every product. Not creative — meticulous: no rule guesses, each one compares a measured number against a threshold.

global.cirometre.com/ai/suggestions
No strategy assigned: 11 products$10,687 of ad spend in the last 30 days — no bid, harvest or negative suggestions are produced for these products. Assign strategy
PendingApprovedAppliedRejectedExpired
Pending suggestions364
Approved this month186
Rejected74
No strategy11 products
Muted products10
▾ Placement multiplier — review3 suggestions
Suggestion Advertised product Strategy Evidence
Lower placement multiplier
Lumbar Support CushionB0DK6P35YA
ProfitACoS 48.2% · target 32% · 1,240 clicks, 14 days
ApproveReject
Raise bid
Pour Over Coffee Kettle, 1.0 LB0C4RT91KD
ProfitImpression share 31% · ACoS 24.1%, below target
ApproveReject
Harvest search term
Silicone Baking Mat, 2 PackB0B9FH40TS
Profit14 orders, ACoS 19.4% · stable for 21 days
ApproveReject
Suggestions grouped by rule, each with its evidence.

Every finding has a recorded reason

A suggestion you cannot audit is a suggestion you cannot trust. Each one states the rule, the threshold and the measured values that crossed it.

That also makes the engine arguable. If the threshold is wrong for your account, you can say so once instead of rejecting the same card every week.

When no card appears, there is a reason for that too

Silence is ambiguous: it can mean everything is fine or it can mean nothing was measured. The two call for very different reactions.

A product with no strategy assigned produces no suggestions — and says so, at the top of the screen, with the ad spend it is running without supervision.

The engine measures its own accuracy

Rules that look right in theory can be wrong for a catalogue. The reports show how often each rule’s prediction held.

That turns tuning into evidence rather than opinion: a rule with a poor record is a rule to change, not a rule to argue about.

Frequently asked questions

What kinds of suggestions does the engine produce?

Bid waste, unprofitable targets, negative candidates, search term harvesting, placement multipliers and stock-versus-advertising conflicts.

Why am I not getting suggestions for a product?

Most often because no strategy is assigned to it. The engine needs to know whether you are optimising for profit, launch, growth, liquidation or defence before it can recommend anything.

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