Skip to main content
ClaudeWave
Skill452 estrellas del repoactualizado 7d ago

07-marketing-report-global

This Claude Code skill generates executive-level marketing reports following an "insights first, numbers as proof" framework. It systematically gathers reporting period, available data, KPI targets, and active channels through structured questions, then delivers findings organized by performance summary, working elements, underperforming areas, and specific action items with assigned owners and deadlines. The tool compares metrics against targets, prior periods, and industry benchmarks to provide actionable intelligence suitable for rapid decision-making across global markets.

Instalar en Claude Code
Copiar
git clone --depth 1 https://github.com/minhnv0807/ai-business-skills /tmp/07-marketing-report-global && cp -r /tmp/07-marketing-report-global/skills/en/07-marketing-report-global ~/.claude/skills/07-marketing-report-global
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# Marketing Report (Global)

## Information gathering

Ask up to 4 questions before reporting:

1. **Reporting period?** Week (which week, from-to dates) or month (month/year)?
2. **Available data?** Provide: ad spend, messages, leads, bookings, customers, revenue. If incomplete, note what's missing to ask.
3. **Targets set?** What KPIs were committed for this period? (revenue, leads, CPMess, ROAS). If none — use industry benchmarks.
4. **Channels running?** Meta Ads, TikTok Ads, Google Ads, Organic (TikTok, Facebook, Email/SMS). List all.

---

## Core principles

### "Read 5 minutes, know what to do next"

Every report must answer these 4 questions in order:

1. **How were results?** — Did we hit targets? (1 sentence)
2. **What's working?** — Keep, scale up (2-3 points)
3. **What's not working?** — Fix, root cause (2-3 points)
4. **What to do next?** — Specific recs with deadlines and owners

### Order of presentation

```
Insight FIRST -> Numbers AS PROOF -> Action RECOMMENDATIONS
```

Never list numbers and let reader draw conclusions. Always state insight first, numbers as evidence.

### 3 comparison frames

Each metric must compare against at least 1 of these 3 frames:

| Frame | Meaning | Example |
|-------|---------|---------|
| vs Target | Hit or miss committed KPI | CPMess target $1.20 — actual $1.10 (hit) |
| vs Previous Period | Up/down vs prior month/week | CPMess last month $1.40 -> this month $1.10 (-21%) |
| vs Industry Benchmark | Better/worse than market average | Beauty industry CPMess $1.00-$1.60 — ours $1.10 (good) |

---

## Output structure

### Header

```markdown
# Marketing Report — [Month X/YYYY] or [Week X: DD/MM-DD/MM]
Author: [Name]
Date: [YYYY-MM-DD]
Status: [Hit Target / Missed Target / Exceeded Target]
```

---

### 1. Executive Summary (read this section is enough)

```markdown
## 1. Executive Summary

**Conclusion:** [1 sentence — hit/missed target, main reason]

**Key metrics:**
| Metric | Target | Actual | vs Target | vs Prior |
|--------|--------|--------|-----------|----------|
| Revenue | [X] | [X] | [+/-X%] | [+/-X%] |
| Total MKT spend | [X] | [X] | [+/-X%] | [+/-X%] |
| ROAS | [X] | [X] | [+/-X%] | [+/-X%] |
| New customers | [X] | [X] | [+/-X%] | [+/-X%] |
| Avg CPMess | [X] | [X] | [+/-X%] | [+/-X%] |

**3 highlights:**
1. [Best thing this period — with data]
2. [Biggest issue — with data]
3. [Opportunity/risk to watch]
```

---

### 2. Channel detail

#### 2.1 Meta Ads

```markdown
### Meta Ads

**Insight:** [1-2 sentences — channel doing well/poorly, reason]

| Metric | Wk 1 | Wk 2 | Wk 3 | Wk 4 | Total | vs Target | vs Prior Mo | vs Benchmark |
|--------|------|------|------|------|-------|-----------|-------------|--------------|
| Spend | | | | | | | | |
| Impressions | | | | | | | | |
| Clicks | | | | | | | | |
| CTR | | | | | | | | |
| Messages | | | | | | | | |
| CPMess | | | | | | | | |
| Leads | | | | | | | | |
| CPL | | | | | | | | |

**Top 3 high-performing ads:**
| # | Ad name / Creative | Spend | Messages | CPMess | CTR | Note |
|---|--------------------|-------|----------|--------|-----|------|
| 1 | | | | | | |
| 2 | | | | | | |
| 3 | | | | | | |

**Bottom 3 ads (turn off/fix):**
| # | Ad name / Creative | Spend | Messages | CPMess | CTR | Issue |
|---|--------------------|-------|----------|--------|-----|-------|
| 1 | | | | | | |
| 2 | | | | | | |
| 3 | | | | | | |
```

#### 2.2 TikTok Ads

_(Same structure as Meta Ads — replace CPMess with CPV if traffic, add Video Completion Rate)_

#### 2.3 Google Ads

_(Same structure — replace Messages with Conversions, add Quality Score)_

#### 2.4 Organic (Natural content)

```markdown
### Organic

**Insight:** [1-2 sentences]

| Metric | Wk 1 | Wk 2 | Wk 3 | Wk 4 | Total | vs Prior Mo |
|--------|------|------|------|------|-------|-------------|
| Posts published | | | | | | |
| Total reach | | | | | | |
| Total engagement | | | | | | |
| Avg ER | | | | | | |
| New followers | | | | | | |
| Top content (reach) | | | | | | |

**Top 3 posts/videos:**
| # | Content | Platform | Reach | ER | Saves | Shares | Note |
|---|---------|----------|-------|-----|-------|--------|------|
| 1 | | | | | | | |
| 2 | | | | | | | |
| 3 | | | | | | | |
```

#### 2.5 Email / SMS

```markdown
### Email / SMS

| Metric | Actual | vs Benchmark |
|--------|--------|--------------|
| Campaigns sent | | |
| Open rate | | [Industry avg: 15-25%] |
| Click rate | | [Industry avg: 1-3%] |
| Unsubscribe rate | | [<1% is good] |
| Email revenue | | |
```

---

### 3. Conversion funnel

```markdown
## 3. Conversion Funnel

| Step | Volume | Conv rate | vs Prior | vs Benchmark | Rating |
|------|--------|-----------|----------|--------------|--------|
| Impression | [X] | — | [+/-X%] | — | |
| Click | [X] | [X%] | [+/-X%] | [Avg: 1-2%] | [Good/Bad/Avg] |
| Message / Lead | [X] | [X%] | [+/-X%] | [Avg: 15-25%] | |
| Qualified Lead | [X] | [X%] | [+/-X%] | [Avg: 50-60%] | |
| Booking | [X] | [X%] | [+/-X%] | [Avg: 50-60%] | |
| Customer | [X] | [X%] | [+/-X%] | [Avg: 30-40%] | |
| Revenue | [X] | — | [+/-X%] | — | |

**Bottleneck:** [Identify which step has lowest conversion — that's the issue to fix]
```

---

### 4. Auto diagnosis

```markdown
## 4. Diagnosis: What's good — What's bad — Why

### Working well (KEEP + SCALE)
| # | Finding | Numbers | Reason | Action |
|---|---------|---------|--------|--------|
| 1 | [e.g., UGC video creative low CPMess] | [CPMess $0.90 vs avg $1.20] | [Natural format, strong hook] | Scale: +30% budget, shoot 5 more UGC |
| 2 | | | | |
| 3 | | | | |

### Not working (FIX URGENTLY)
| # | Issue | Numbers | Root cause | Severity | Action |
|---|-------|---------|------------|----------|--------|
| 1 | [e.g., Booking->Show low] | [28% vs target 40%] | [No 24h reminder, no deposit] | High | Auto reminder + collect $5 deposit |
| 2 | | | | | |
| 3 | | | | | |

### Unclear (MONITOR FURTHER)
| # | Observation | Numbers | Hypothesis | Validation method | Timeline |
|---|-------------|--------
PULL_REQUEST_TEMPLATESkill
channel-operatorSubagent

Agent van hanh kenh — thiet lap kenh, brief landing page, email marketing, social listening

content-producerSubagent

Agent san xuat noi dung — viet script, copy, brief creator, lap lich noi dung

mkt-strategistSubagent

Agent chien luoc marketing — lap ke hoach, nghien cuu thi truong, phan tich doi thu, xay dung chien luoc thuong hieu

performance-analystSubagent

Agent phan tich hieu suat — doc data, danh gia chien dich, tinh KPI, bao cao

personal-brand-builderSubagent

Agent xay dung thuong hieu ca nhan voi AI Avatar — chien luoc, content engine, monetization, community cho founder/coach/creator

29-dropshipping-mastery-globalSkill

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'.

22-personal-brand-context-globalSkill

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'.