closed-loop-analytics-upgrade
CommunityTurn marketing changes into measurable wins.
Marketing & Sales#SEO#analytics#experimentation#revenue attribution#closed-loop learning#YouTube optimization
Authorericosiu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It stops marketing and content decisions from being driven by opinions by forcing every meaningful change to be validated against real platform analytics.
Core Features & Use Cases
- Closed-loop performance judgment: compares a baseline window vs a candidate window using primary and secondary metrics, then promotes or keeps testing based on evidence.
- Cross-surface analytics alignment: applies the same evaluation logic to X/Twitter, YouTube, SEO/AEO/GEO, and revenue/outbound workflows with surface-specific metrics and readbacks.
- Playbook patch generation: outputs a concrete skill/playbook patch (prompt, connector, brief template, scoring rubric, or next-action rule) derived from detected signals.
Quick Start
Use the closed-loop-analytics-upgrade workflow to evaluate a change you shipped on X or YouTube by providing the baseline window, candidate window, and the platform metrics you pulled so it can decide promote, keep testing, rollback, or unproven.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: closed-loop-analytics-upgrade Download link: https://github.com/ericosiu/ai-marketing-skills/archive/main.zip#closed-loop-analytics-upgrade Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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