What problem does it solve?
Paid-media teams often change bids, budgets, or keywords based on isolated metrics or gut feel, causing wasted spend and irreversible account damage. This Skill grounds every optimization decision in causal evidence, financial constraints, and platform capability checks before any change is drafted or applied.
Core Features & Use Cases
- Evidence-Based Diagnosis: Loads normalized snapshots, monitoring results, experiment state, conversion lag, and economics before recommending any change.
- Draft-First Mutations: Defaults to
--draft mode, producing ranked recommendations with confidence scores that only become mutation plans through an approval gate.
- Destructive-Action Guardrails: Refuses permanent deletion of campaigns, ads, or audiences, offering reversible alternatives like pausing, archiving, and labeling instead.
- Use Case: A performance marketer notices rising CPA on a Google Ads campaign. The Skill reviews search-term reports, conversion lag, and budget pacing, then drafts a ranked reallocation plan with rollback steps rather than applying changes blindly.
Quick Start
Ask the assistant to review my Google Ads campaign performance and draft an optimization plan to improve ROAS without applying any changes.
