paid-ads-optimize

# Paid Ads Optimization Read `../shared/operating-contract.md` and `../shared/measurement-framework.md`. Review before changing anything. ## Diagnose before cutting Verify the conversion signal, period completeness, spend volume, attribution model, and recent account changes. Spend with no recorded conversion can indicate broken tracking or immature data; treat it as a hypothesis until the signal and volume support an intervention. Check landing-page or operational failures before blaming targeting. Classify the bottleneck as query/audience quality, creative fatigue, delivery/rank, budget constraint, landing-page mismatch, tracking, or economics. Use the specialized Google, Meta, X, LinkedIn, Reddit, or TikTok skill for live diagnosis. For other platforms, analyze only the supplied or verified data. ## Rank reversible moves Prefer this order: exclude an irrelevant query, placement, or audience; pause the narrowest losing unit; adjust budget or bid in a measured step; then consider structural change. For a reallocation, show the current and proposed allocations, the same total budget unless the user approves an increase, and the observable hypothesis. Do not declare a loser from a few clicks. Set a threshold appropriate to the named target CPA, conversion lag, and channel role. Preserve upper-funnel and assisted-conversion context rather than judging all campaigns on last-click CPA alone. ## Approval and follow-up Present each exact mutation with scope, current value,...