post-launch-analysis

What problem does it solve?

It helps you review live Meta ad performance and decide, with real metric-based evidence, whether to kill, iterate, hold, or scale ad sets instead of guessing from noisy early signals.

Core Features & Use Cases

• Scale DTC Statistical Analysis Hierarchy: Applies a gated metric sequence (hook rate → hold rate → CTR → ATC → CVR → CPA vs break-even) so you fix the biggest constraint first.
• Day 3 / Day 7 / Day 14 Review Protocols: Uses different confidence rules and escalation behavior across early validation, mid-term optimization, and end-of-flight synthesis.
• Per Ad-Set Decision Outputs: Produces clear decisions and reasoning per ad set and a structured next action for continued improvement.

Quick Start

Run a Day 7 review of a Meta campaign by pasting per-ad-set metrics (spend, impressions, CPM, reach, link clicks, CTR, ATC, IC, purchases, ROAS, plus AOV, gross margin, break-even CPA, and target ROAS) and telling the Skill the exact date range to analyze.