03-performance-eval-global
# Performance Evaluation (Global) – Description This Claude Code skill diagnoses marketing performance across paid ads, organic channels, and sales funnels using root cause analysis and the 5-Whys method, then delivers a 48-hour action plan with weekly checklists. It includes four region-specific variants (US, EU, SEA, LATAM) with localized benchmarks and a dedicated dropshipping KPI section covering ROAS, breakeven ROAS, profit margin, and customer acquisition cost, triggered by keywords like "performance review," "KPI analysis," or "dropshipping ROAS."
git clone --depth 1 https://github.com/minhnv0807/ai-business-skills /tmp/03-performance-eval-global && cp -r /tmp/03-performance-eval-global/skills/en/03-performance-eval-global ~/.claude/skills/03-performance-eval-globalSKILL.md
# 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?
| |-- Loop back to CPM tree
|
|-- Many orders but low AOV?
|-- Weak cross-sell/upsell → bundles, larger packages
|-- Bargain hunters → tighten targeting
```
```
[POOR LEAD QUALITY]
|-- Many messages but few qualified leads?
| |-- Targeting too broad → narrow with LAL of best customers
| |-- Wrong-fit content → adjust hook + CTA
| |-- Value prop unclear → educate before CTA
|
|-- Qualified leads but no booking?
| |-- Slow follow-up (>2h) → respond within 15 min
| |-- Weak close script → rewrite, train sales
| |-- Price too high → bundle, financing, trial
|
|-- Booking but no-show?
|-- No reminder → auto-remind 24h + 2h before
|-- Trust gap → nurture more before booking
|-- Decision fatigue → simplify booking flow
```
### Part 2 — Root Cause Analysis (5 Whys)
Ask "Why?" 5 times until you reach a process/system/skill root cause:
| Round | Why? | Answer |
|-------|------|--------|
| 1 | Why did CPM rise? | CTR dropped from 2.5% → 1.1% |
| 2 | Why did CTR drop? | Creative ran 12 days, audience saturation |
| 3 | Why did creative run so long? | No creative refresh schedule |
| 4 | Why no sAgent van hanh kenh — thiet lap kenh, brief landing page, email marketing, social listening
Agent san xuat noi dung — viet script, copy, brief creator, lap lich noi dung
Agent chien luoc marketing — lap ke hoach, nghien cuu thi truong, phan tich doi thu, xay dung chien luoc thuong hieu
Agent phan tich hieu suat — doc data, danh gia chien dich, tinh KPI, bao cao
Agent xay dung thuong hieu ca nhan voi AI Avatar — chien luoc, content engine, monetization, community cho founder/coach/creator
Full dropshipping pipeline for US/EU/global markets — product research (winning criteria, Minea, PiPiAds), supplier sourcing (AliExpress, CJ Dropshipping, Spocket, Zendrop), Shopify store setup (themes, apps), ad creative pipeline (10 ads/week methodology, UGC pattern), audience targeting (interest stacking, lookalike, broad), pricing math (3-5x markup, BE-ROAS), customer service (long shipping, refunds), scaling playbook (CBO, vertical), compliance (FTC, EU CHRD). Trigger: 'dropshipping', 'shopify store', 'AliExpress', 'winning product', 'Facebook ads dropship', 'TikTok ads dropship', 'Shopify conversion'.
Foundation skill for global personal brand cluster. Creates `.agents/personal-brand-context-global.md` with region-specific personal brand context. 4 region variants (US/EU/SEA/LATAM); each covers founder/coach/creator inside. Reads BEFORE other PB skills (23-28 global). Trigger: 'global personal brand', 'international personal brand', 'US founder brand', 'EU coach brand', 'creator economy global'.