From ai-business-skills
Diagnoses marketing performance for global businesses using root cause analysis, 5-Whys, and regional benchmarks. Includes dropshipping KPI section.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-business-skills:03-performance-eval-globalThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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.
If you've never done a performance review:
Before diagnosis:
.agents/product-marketing-context-global.md — get product, audience, region, currency, current channels.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)Ask user up to 4 questions:
| 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
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 |
[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
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 schedule? | No SOP for periodic creative review |
| 5 | Why no SOP? | No creative rotation process defined |
Root cause: Missing SOP for creative rotation Solution: Lock in 3-5 new creatives/week, review every 3-5 days
| Indicator | Warning | Danger | Action |
|---|---|---|---|
| Frequency | >2.5 | >4 | Refresh creative, expand audience |
| CTR decline | -20% vs first 3 days | -40% | New creative |
| CPA increase | +25% vs first 3 days | +50% | Pause, test new |
| Run time | >7 days | >14 days | Mandatory refresh |
| Engagement decline | -30% comments/shares | -50% | Switch angle |
| Negative feedback | >3% | >5% | Pause immediately |
| Metric | Healthy | Warning | Action |
|---|---|---|---|
| Audience overlap (between ad sets) | <20% | >30% | Merge or exclude |
| Frequency | <2.5 | >4 | Expand audience, new creative |
| Reach vs audience size | <50% | >70% | Audience too small, expand |
| Cost per incremental result | Stable | +30% | Saturated — find new audience |
| % new users in clicks | >60% | <40% | Re-showing to existing — refresh |
Use the variant that matches your ad account billing region, NOT just where the user is located:
| Region | Variant | When to use |
|---|---|---|
| United States, Canada | 01-us.md | Account billed in USD, US/CA traffic |
| UK, EU, EEA | 02-eu.md | Account billed in EUR/GBP, GDPR consent stack |
| SEA (Vietnam, Thailand, Indonesia, Philippines, Malaysia, Singapore) | 03-sea.md | Lower CPM, mobile-first, super-app context |
| LATAM (Brazil, Mexico, Colombia, Argentina, Chile) | 04-latam.md | WhatsApp-dominant, low CPM, FX volatility |
If running multi-region: load multiple variants, compare benchmarks side-by-side, set per-region targets.
Dropshipping has different success criteria than typical service/B2B marketing. Use this layer when product is sourced from suppliers (AliExpress, CJ, Zendrop) and shipped directly to customer.
| KPI | Formula | Healthy target |
|---|---|---|
| ROAS | Revenue / Ad spend | 2.5–3x minimum, 4x+ ideal |
| BE-ROAS (Break-even ROAS) | 1 / Profit margin | If margin = 30%, BE-ROAS = 3.33x |
| Profit margin | (Revenue − COGS − Shipping − Fees − Ad spend) / Revenue | 20%+ healthy, 25%+ ideal |
| CAC (Customer Acquisition Cost) | Ad spend / Customers acquired | < AOV × Profit margin |
| CPA (Cost Per Add-to-cart / Purchase) | Ad spend / Conversions | <30% of AOV |
| AOV (Average Order Value) | Revenue / Orders | Higher AOV = lower BE-ROAS pressure |
BE-ROAS = 1 / Profit margin
Examples:
Margin 20% → BE-ROAS = 5.0x (you need 5x ROAS just to break even)
Margin 25% → BE-ROAS = 4.0x
Margin 30% → BE-ROAS = 3.33x
Margin 35% → BE-ROAS = 2.86x
Margin 40% → BE-ROAS = 2.5x
Margin 50% → BE-ROAS = 2.0x
Below BE-ROAS = losing money on every order. 1.2× BE-ROAS = healthy growth zone. 2× BE-ROAS = scale aggressively.
| Flag | Threshold | Action |
|---|---|---|
| ROAS < BE-ROAS for 7 days | Always losing | Pause, redo product/creative |
| Profit margin < 20% | Too thin | Raise price OR find cheaper supplier |
| Refund rate > 5% | Too high | Audit product quality + ad claims |
| Chargeback rate > 1% | Critical | Review CB reasons, may risk Stripe ban |
| Shipping time > 18 days | Long | Switch to faster supplier or warehouse stock |
| Cart abandon > 75% | Too high | Audit checkout (shipping cost reveal, slow load) |
| Signal | Threshold | Decision |
|---|---|---|
| ROAS sustained > 2× BE-ROAS | 7+ consecutive days | Scale +20% per cycle |
| 30+ purchases at target CPA | Within ad set | CBO scaling allowed |
| Profit margin stable > 25% | 14+ days | Open new market |
| Email/SMS list > 1000 | Reached | Add retention campaigns |
See skill
29-dropshipping-mastery-globalfor full dropshipping playbook.
Apply when CRITICAL issue detected:
| # | Time | Action | Severity | Expected outcome |
|---|---|---|---|---|
| 1 | 0–2h | Pause creatives/ad sets with CPA > 2x target | CRITICAL | Stop bleeding spend |
| 2 | 2–4h | Deep-dive data: which creative, audience, time slot | CRITICAL | Identify root cause |
| 3 | 4–8h | Duplicate winning ad set, test new creatives | HIGH | New creative live |
| 4 | 8–12h | Adjust audience: exclude overlap, test new LAL | HIGH | Reduce frequency |
| 5 | 12–24h | A/B test 3 new hooks for top creative | HIGH | Find better hook |
| 6 | 12–24h | Review landing page / inbox flow | MEDIUM | Fix funnel leak |
| 7 | 24–36h | Compare new vs. old performance | MEDIUM | Decide next step |
| 8 | 36–48h | Report + propose week-2 plan | MEDIUM | Concrete plan |
| Day | Focus |
|---|---|
| Mon | Compare WoW KPIs, identify top/bottom 3 creatives, check frequency + audience overlap |
| Tue | Make 3-5 new creatives, test new hook, review UGC pipeline + organic |
| Wed | Optimize bid/budget on winners, pause CPA > 2x target, test new audiences |
| Thu | Check Mess→Lead, Lead→Booking, response time, sales script |
| Fri | WoW table, top 3 priorities for next week, content calendar update |
| Need | Skill |
|---|---|
| Full audit with 84 checkpoints | 21-ads-audit-global |
| Monthly report | 07-marketing-report-global |
| Recompute budget from revenue target | 10-reverse-kpi-global |
| New ad copy with frameworks | 05-ad-copy-global |
| New video script | 04-script-video-global |
| Replan from scratch | 00-marketing-plan-global |
| Dropshipping-specific playbook | 29-dropshipping-mastery-global |
Before delivering evaluation:
npx claudepluginhub minhnv0807/ai-business-skills --plugin ai-business-skillsAudits marketing performance across Meta Ads, TikTok Ads, Google Ads, and organic channels. Diagnoses root causes of issues like high CPMess or low ROAS, benchmarks against industry data, and outputs a 48h action plan plus weekly optimization checklist.
Generates marketing performance reports with executive summaries, key metrics tables, trend analysis, wins/misses, and prioritized optimizations for campaigns or channels.
Audits and optimizes multi-platform paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, and Amazon with 250+ checks, scoring, and AI creative generation.