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To diagnose high CPA or CPL in Meta Ads campaigns, the system crosses three time windows to identify whether the bottleneck is creative fatigue, technical page or checkout errors, or auction and audience saturation. It then classifies the campaign and recommends defensive actions to recover stability.

The safest way to reduce a Meta Ads budget without resetting the learning phase is to enforce a maximum budget reduction of 20%. The system validates your budget type, either ABO or CBO, before applying this containment action to prevent algorithmic learning resets.

To know if your Meta Ads audience is saturated or creative is tired, a two-layer diagnosis evaluates metrics like CTR, hook rate, frequency, and CPM. High frequency combined with dropping CTR indicates creative fatigue, while rising CPM signals auction and audience saturation.

Yes, you can optimize multiple Meta Ads campaigns in a batch. The system uses sub-skills to apply optimization actions across multiple campaign entities simultaneously based on specific status filters and account selection scoping parameters.

You should pause a Meta Ads campaign when the diagnostic bottleneck is identified as creative fatigue. Once defensive actions stabilize performance and reduce CPA or CPL, the system signals escalation readiness, allowing you to proceed with scaling handoff.

Yes, this Meta Ads optimization approach works for both perpetual and launch scenarios. It classifies campaigns into six tracks, separating perpetual purchase goals and launch lead goals, each with specific thresholds for CPA, CPL, CTR, hook rate, frequency, and CPM.