What problem does it solve? Running paid ads without a system leads to wasted budget, junk leads, and emotional kill/keep decisions. This Skill provides platform-specific playbooks, quantified decision thresholds, and campaign structure frameworks 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), Meta (TCPL-anchored kill/keep/scale decision system), LinkedIn (bidding progression, audience sizing), and ABM (named-account targeting, cross-channel retargeting). - B2B Demand Lifecycle: Budget allocation across Create, Capture, Accelerate, Revive, and Expand stages, with breakeven CPL/CPC math and lead quality scoring (Urgency/Budget/Fit). - Creative & Retargeting Frameworks: Modern Meta creative-as-targeting playbook, identity-trigger keywords, 4-component retargeting, 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 applies the TCPL anchor, the 3x TCPL data gate, and qualified-rate checks to produce a defensible kill/keep/scale decision. ## Quick Start Ask the assistant to plan a paid advertising strategy for your product, budget, and target audience, and it will recommend platforms, campaign structure, and success metrics.