# 03 Performance Eval Global

Use when marketing numbers look bad and the user needs to know WHY, layered root-cause...

- Repository: https://github.com/minhnv0807/ai-business-skills (641 stars)
- Category: Design
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -g -a claude-code -y`
Codex: `npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -g -a codex -y`
Cursor: `npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -g -a cursor -y`
Gemini CLI: `npx skills add minhnv0807/ai-business-skills --skill 03-performance-eval-global -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add minhnv0807/ai-business-skills`

## Description

Use when marketing numbers look bad and the user needs to know WHY, layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality, 5-Whys, regional benchmarks for US, EU, SEA, and LATAM, and a 48-hour action plan. Covers dropshipping ROAS and BE-ROAS. Trigger on 'why is CPA so high', 'my ads are not converting', 'ROAS dropped', 'we are burning budget', 'performance is bad this month', 'diagnose the funnel'. Also use when the user pastes a screenshot of numbers with no question attached. Not for, full account configuration audit, see `21-ads-audit-global`; writing a report someone else reads, see `07-marketing-report-global`; turning a raw export into insight, see `13-data-analysis-global`.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Performance Evaluation (Global)

> Operating rules: `skills/en/references/operating-rules-global.md` (esp. rules 2, 3, 7).

Diagnose marketing performance, paid ads, organic, funnel, find root cause, propose optimization with 48h action plan and weekly checklist. Region variants (US/EU/SEA/LATAM) provide localized benchmarks.

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## For newbies, Read this first

If you've never done a performance review:

1. **Performance evaluation = a structured health check** of your marketing. You collect numbers, compare against benchmarks, find the gap, and propose fixes.
2. **You don't need everything perfect to start.** Even rough data (last 30 days spend + leads + revenue) is enough for a first pass.
3. **The order matters:** measure first, diagnose second, fix third. Don't jump to "let's redo creative" before checking why CTR dropped.
4. **Benchmarks are regional.** A $10 CPM in the US is normal; in SEA it's expensive. Always pick the right region variant.
5. **One metric at a time.** Don't try to fix CPM, CTR, CPL, ROAS simultaneously, pick the bottleneck and fix that first.
6. **The 5-Whys method works.** Ask "why?" five times until you hit a root cause that's actionable (process, system, or skill gap, not a symptom).
7. **Health Score 0-100** gives you a single number to track. Below 60 = stop scaling, fix first. Above 75 = safe to optimize and grow.

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## Step 0, Read context + select region variant

Before diagnosis:

1. **Read `.agents/product-marketing-context-global.md`**, get product, audience, region, currency, current channels.
2. **Pick the region variant:**
   - `variants/01-us.md`, North America (USD)
   - `variants/02-eu.md`, Europe (EUR/GBP, GDPR-aware)
   - `variants/03-sea.md`, Southeast Asia (USD/local, low CPM)
   - `variants/04-latam.md`, Latin America (USD/BRL/MXN, WhatsApp-first)
3. **Auto-pull data** if MCP integrations are connected (Meta Official MCP, Google Ads MCP, TikTok Ads MCP, Pipeboard).

### Information gathering

The rest: https://github.com/minhnv0807/ai-business-skills/blob/HEAD/skills/en/03-performance-eval-global/SKILL.md