What problem does it solve?
It solves inefficient ad spend by diagnosing allocation, bidding appropriateness, and scaling readiness, then producing actionable kill and scale recommendations.
Core Features & Use Cases
- Cross-platform budget allocation review: applies a 70/20/10 distribution to re-balance spend across proven, scaling, and testing channels.
- Platform-specific bidding strategy guidance: selects and justifies bidding modes (e.g., Google Search decision logic, Meta bidding types, LinkedIn message/send vs cost control, TikTok efficiency vs caps).
- Kill/scale decisioning with data sufficiency checks: enforces minimum observation windows (≥14 days for evaluation, ≥20 clicks or ≥$100 spend for pause recommendations) and flags weak campaigns via CPA/ROAS/CTR rules.
- MER (Marketing Efficiency Ratio) assessment: evaluates blended efficiency using MER to guide overall health beyond per-platform ROAS.
- Deliverable-ready recommendations: outputs a structured budget & bidding report including scale list, kill list, MER analysis, and quick wins.
Quick Start
Ask the skill to review your ad budget and bidding strategy for the last 14+ days across all active platforms and return a kill list, a scale list, and a recommended budget split.