What problem does it solve? Running paid ads without a system leads to wasted budget, junk leads, and emotional kill/scale decisions. This Skill provides platform-specific playbooks, quantified decision thresholds, and campaign structure guidance so every advertising decision is grounded in unit economics rather than guesswork. ## Core Features & Use Cases - Platform Playbooks: Operational rules for Google Search (intent ladder, match types, negatives, PMax guardrails), Meta (TCPL-anchored kill/keep/scale decision system, fatigue bands, Advantage+ transition), LinkedIn (bidding progression, audience sizing, thought leader ads), and ABM (named-account targeting, pipeline acceleration, cross-channel UTM remarketing). - B2B Demand Lifecycle: Budget allocation across Create, Capture, Accelerate, Revive, and Expand stages, with breakeven CPL/CPC math, lead quality scoring (Urgency/Budget/Fit), and the offline conversion loop to stop smart bidding from buying junk form-fills. - Creative & Retargeting Frameworks: Modern Meta creative-as-targeting playbook, identity-trigger keywords, 4-component retargeting system, and headline-mirroring for landing page alignment. - Use Case: A B2B SaaS team spending $15k/month asks whether to kill an underperforming Meta ad. The Skill loads the Meta decision system, checks spend against 3x TCPL, evaluates qualified-lead rate from the CRM, and returns a kill/iterate/scale decision with a staged replacement plan. ## Quick Start Ask the assistant to build a paid ads strategy for your product, including platform selection, budget allocation, campaign structure, and kill rules based on your target CPA.