What problem does it solve? Running paid ads without a disciplined framework leads to wasted budget, premature campaign kills, and misleading attribution. This Skill provides structured playbooks for campaign strategy, audience targeting, bidding, retargeting, and account audits across major ad platforms, with guardrails that prevent common AI-audit mistakes like inventing negative keywords or summing conversions across different attribution windows. ## Core Features & Use Cases - Platform Playbooks: Decision systems for Meta (Andromeda-era creative strategy), LinkedIn B2B, Google Search, Performance Max, and ABM, each with kill rules, scaling thresholds, and budget frameworks. - Audit Guardrails: Four-state pass/fail/unknown/NA scoring that separates account health from evidence coverage, refuses unsafe actions like fixed CPA kill rules, and delivers changes as draft plans with rollback steps. - Unit Economics & Measurement: Payback-period math per pricing plan, breakeven CPL/CPC derivation, offline conversion loops, and lead quality scoring (Urgency/Budget/Fit). - Use Case: A B2B SaaS team asks whether their blended 3.4:1 LTV:CAC justifies scaling Meta spend. The Skill computes per-plan payback periods, shows the $9/month plan is unaffordable at $300 CAC while the $999 plan pays back in days, and recommends routing budget accordingly. ## Quick Start Ask the assistant to plan a paid advertising strategy for your product, including platform selection, budget allocation, audience targeting, and success metrics for your monthly ad spend.