paid-ads

This skill acts as a specialized performance marketing manager, providing an end-to-end framework for managing paid media across major platforms like Google Ads, Meta (Facebook/Instagram), LinkedIn, and Twitter/X. It is designed for technical marketers, growth engineers, and founders who need to scale customer acquisition while maintaining strict control over budget, CPA, and ROAS. The skill prioritizes data-driven decision-making by requiring context on existing product marketing assets and conversion data before providing recommendations.

• Expert platform selection guide based on intent, audience demographics, and B2B/B2C suitability.

• Standardized campaign structures and professional naming conventions to ensure account hygiene and scalability.

• Strategic budget allocation frameworks, including testing versus scaling phase management.

• Ad copy generation frameworks utilizing proven psychological models like PAS (Problem-Agitate-Solve) and BAB (Before-After-Bridge).

• Comprehensive audience targeting strategies involving lookalike audiences, retargeting funnels, and negative targeting to prevent wasted spend.

• Creative performance optimization, including hook-based video structure, visual testing hierarchies, and key conversion metric analysis.

• Detailed optimization levers for addressing high CPA, low CTR, and inflated CPM, including bid strategy progression from manual to automated bidding.

• Always verify the existence of .agents/product-marketing-context.md before providing strategy advice to ensure alignment with brand and offer goals.

• Use this skill for tactical execution involving PPC campaigns, audience segmentation, bidding strategies, and performance reporting.

• For bulk asset creation, image generation, or copywriting iteration, link this skill with ad-creative.

• For post-click optimization, landing page performance, and funnel conversion audits, coordinate with page-cro.

• Expected inputs include campaign objectives, budget, target audience, and current conversion metrics; outputs include structured account layouts, testing plans, and actionable optimization roadmaps.

• Practical constraints include ad platform compliance, geographic restrictions, and data availability for tracking pixel performance and conversion attribution.