ads-performance-analytics
FeaturedHow to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.
Install
Quality Score: 97/100
Skill Content
Details
- Author
- rampstackco
- Repository
- rampstackco/claude-skills
- Created
- 2 months ago
- Last Updated
- 5 days ago
- Language
- Python
- License
- MIT
Integrates with
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ad-performance-analyzer
Analyze paid media performance, diagnose issues, and provide optimization recommendations across all major ad platforms. Triggers on "analyze ad performance", "ad metrics", "why is my ROAS low", "ad optimization", "campaign performance", "creative fatigue", "ad budget allocation".
ad-campaign-analyzer
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.
ad-campaign-analyzer
Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality.