03 Performance Eval Global

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha d435c7de76d1 · 14 Oct 2026Report an issue or request a re-scan

• Publisherminhnv0807 GitHub userOwner of the repository this skill is read from
• Source folderminhnv0807/ai-business-skills/skills/en/03-performance-eval-globalThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdictd435c7de76d1A new audit runs when the source changes
• Repository statusNot archivedLast push 32 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its 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,…

---
name: 03-performance-eval-global
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 — auditing account configuration and scoring health, 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`."
metadata:
  version: 1.0.1
  category: performance
license: MIT
triggers:
  - "performance review"
  - "ad performance"
  - "marketing diagnosis"
  - "KPI analysis"
  - "dropshipping ROAS"
related:
  - product-marketing-context-global
  - 07-marketing-report-global
  - 10-reverse-kpi-global
  - 13-data-analysis-global
  - 21-ads-audit-global
  - 29-dropshipping-mastery-global
---

# Performance Evaluation (Global)

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.

---

## 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.

---

## 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

Ask user up to 4 questions:

1. **Which channel(s) to audit?** Meta / Google / TikTok / LinkedIn / email / organic / all?
2. **Current numbers?** Spend, impressions, clicks, CTR, CPM, CPC, leads, CPL, conversions, CPA, ROAS, time period.
3. **What's the issue?** CPM rising / ROAS dropping / lead quality poor / no orders / creative fatigue?
4. **Original target KPI?** What was the goal — CPL, CPA, ROAS, monthly leads/orders?

### Auto-pull via MCP (if connected)

| Platform | MCP recommended | Data pulled |
|----------|----------------|-------------|
| Meta Ads | Meta Official MCP (`mcp.facebook.com/ads`) | 29 tools — performance, anomalies, benchmarks |
| Meta Ads (alt) | Pipeboard, brijr/meta-mcp | Targeting research, ad library |
| Google Ads | Google Official MCP | GAQL — cost, clicks, conv, impression share |
| TikTok Ads | AdsMCP/tiktok-ads-mcp-server | Campaign performance reports |
| Cross-platform | Adspirer ads-mcp | 175+ tools, unified metrics |

**Quick MCP diagnostic flow:**

```
1. ads_insights_performance_trend → trending down?
2. ads_insights_anomaly_signal → which KPI is abnormal?
3. ads_insights_industry_benchmark → vs. industry?
4. ads_get_opportunity_score → what does Meta suggest?
→ Feed into Benchmark Table + Diagnostic Tree
```

---

## Universal diagnosis framework

### Part 0 — Ads Health Score (0-100)

```
Health Score = Σ(Check_pass × W_severity × W_category) / Σ(Check_total × W_severity × W_category) × 100
```

| Severity | Weight | Example checkpoints |
|----------|--------|--------------------|
| Critical | 5× | Pixel not firing, CAPI not setup, CPA > 3× target |
| High | 3× | Creative similarity > 60%, budget < 5× CPA/day |
| Medium | 1.5× | No retargeting audience, headline > 40 chars |
| Low | 0.5× | Naming convention not followed |

| Score | Grade | Action |
|-------|-------|--------|
| 90–100 | A | Excellent — focus on scaling |
| 75–89 | B | Good — fix Medium, scale gently |
| 60–74 | C | Average — fix High before scaling |
| 40–59 | D | Poor — fix Critical + High first |
| <40 | F | Danger — pause, full audit, rebuild |

### Part 1 — Diagnostic decision tree

```
[CPM HIGH]
  |-- CTR low (<1%)?
  |     |-- Weak hook → rewrite first 3s
  |     |-- Wrong targeting → narrow/expand audience
  |     |-- Stale creative (>7d) → make new creative
  |
  |-- CTR normal (1–3%) but CPM still high?
  |     |-- Auction peak → reduce budget, shift schedule
  |     |-- Audience too small → expand, test new LAL
  |     |-- Bid too high → switch to lowest cost
  |
  |-- CTR high (>3%) but CPM high?
        |-- Landing page/inbox not converting → fix LP
        |-- Unclear CTA → rewrite CTA
```

```
[ROAS LOW (<2x)]
  |-- CPM ok but few conversions?
  |     |-- Funnel leak → check each step
  |     |-- Slow sales response → improve speed, script
  |     |-- Wrong offer/price → review offer
  |
  |-- High CPM + few conversions?
 

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/minhnv0807/ai-business-skills
git -C ai-business-skills checkout d435c7de76d1

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source d435c7de76d1

Questions about 03 Performance Eval Global

• github.com/minhnv0807/ai-business-skills/tree/master/skills/en/0 — the audited source at commit d435c7de76d1 and every finding aboveObserved · 14 Oct 2026

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