What problem does it solve? Running paid ads without a disciplined strategy burns budget on wrong audiences, weak creative, and premature kill decisions. This Skill turns an AI assistant into a performance marketer that plans campaigns, sets budgets, diagnoses underperformance, and audits live accounts using evidence-based rules instead of guesswork. ## Core Features & Use Cases - Campaign Strategy & Structure: Platform selection guidance (Google, Meta, LinkedIn, TikTok, X), naming conventions, budget allocation, and audience targeting frameworks for B2B and B2C. - Platform Playbooks & Decision Systems: Deep references for Meta (Andromeda-era creative strategy), LinkedIn B2B, Google Search, ABM, payback-period math, and retargeting frameworks with concrete kill/scale thresholds. - Audit Guardrails: Four-state pass/fail/unknown/NA scoring, benchmark discipline, and hard stops against unsafe actions like inventing negative keywords or summing conversions across attribution windows. - Use Case: A B2B SaaS team with $15k/month asks where to advertise; the Skill checks product context, recommends LinkedIn and Google Search, structures campaigns, and defines breakeven CPL targets from deal math. ## Quick Start Ask the assistant to plan a paid ads strategy for your product, including platform choice, budget split, and target CPA based on your deal size.