Roas Skills
Marketing skills tagged with “roas”. Install any skill into Claude, Cursor, or your favorite AI agent.
Optimize ad spend across platforms using frameworks: 70/20/10 rule, kill/scale lists, bidding strategy decision trees, and MER analysis.
Comprehensive ad account analysis across Google, Meta, LinkedIn, TikTok, and Microsoft with industry-specific detection and HYROS attribution integration.
Project ROAS for the next 30/60/90 days using trends, seasonality, and planned changes. Get scenario ranges, not false precision.
Evaluate ad spend distribution, bidding strategy fit, and identify campaigns to scale or pause using framework rules and platform benchmarks.
Compare how different attribution models shift credit between campaigns to uncover budget misallocation and improve ROI.
Optimize ad budgets across Google, Meta, TikTok using MER, marginal ROAS, and diminishing returns analysis.
Evaluate ad spend distribution, bidding readiness, and scaling potential with data-driven rules and platform-specific guidance.
Get campaign-specific bid strategy recommendations based on conversion volume, CPA consistency, and performance trends with risk assessments.
Query Google Ads API with GAQL to pull campaign, keyword, and conversion data for performance reports, ROAS analysis, and quality score audits.
How to choose paid channels, validate readiness, allocate budget, and align ads to landing pages.
Compare your Google and Meta ads metrics against industry benchmarks adjusted for account size, vertical, and maturity to identify quick wins.