RULE-BASED OPTIMIZATION
Rules your media buying team can inspect and control
ArbiNeuro turns defined campaign logic into an explainable operating loop: evaluate conditions, show the affected scope, confirm the action, verify the result, and re-evaluate later.
In short
Rule-based optimization applies explicit conditions and actions to campaign data. Unlike an unexplained score, every ArbiNeuro recommendation can show the rule, values, scope, capability, and decision state.REAL PRODUCT INTERFACE
Decision diagnostics — action verified
The interface connects report context, decision logic, and the result of every controlled action.
Express the decision logic
Combine multiple IF conditions and THEN actions around configured KPIs, spend, event states, and limits. The product records why a rule matched.
Use provider-aware actions
Campaign state, bid, blacklist, and notification actions are available only where the connected source and account configuration support them.
Recover when conditions change
Re-evaluation can incorporate delayed events. Bid recovery can roll back the last successful step when the original condition stops matching, subject to configured limits.
FAQ
Frequently asked questions
Are rules the same as autonomous AI?+
No. Rules are explicit logic configured by the team. ArbiNeuro does not present a fully autonomous AI as a released capability.
Can one rule use several conditions?+
Yes. The model supports multiple IF and THEN blocks, with execution still limited by permissions and provider capabilities.
ARBINEURO
Design a rule you can explain
Bring one recurring decision and map its conditions, controls, and recovery behavior.
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