Marketing reports under 'read 5 minutes, know what to do next' principle — insights first, numbers as proof, recommendations with deadlines and owners. For global markets. Trigger: 'marketing report', 'monthly summary', 'weekly summary', 'monthly results', 'monthly report', 'performance report'.
npx skills add https://github.com/minhnv0807/ai-business-skills --skill 07-marketing-report-global
Ask up to 4 questions before reporting:
Every report must answer these 4 questions in order:
Insight FIRST -> Numbers AS PROOF -> Action RECOMMENDATIONS
Never list numbers and let reader draw conclusions. Always state insight first, numbers as evidence.
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) |
# 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
**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]
### 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 | | | | | | |
_(Same structure as Meta Ads — replace CPMess with CPV if traffic, add Video Completion Rate)_
_(Same structure — replace Messages with Conversions, add Quality Score)_
### 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 | | | | | | | |
### 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
| 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. 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 |
|---|-------------|---------|------------|-------------------|----------|
| 1 | [e.g., CTR dropping over 4 weeks] | [2.1% -> 1.4%] | [Ad fatigue] | Swap creative, monitor 1 week | 7 days |
## 5. Action Recommendations
| # | Action | Goal | Deadline | Owner | Status |
|---|--------|------|----------|-------|--------|
| 1 | [e.g., Shoot 5 new UGC for Meta Ads] | CPMess <$1.00 | [DD/MM] | [Name] | Not started |
| 2 | [e.g., Set up auto reminder 24h] | Booking->Show >40% | [DD/MM] | [Name] | Not started |
| 3 | [e.g., Test TikTok Ads $200/wk] | New channel, CPMess <$1.40 | [DD/MM] | [Name] | Not started |
| 4 | | | | | |
| 5 | | | | | |
**Priority:** Number by impact level — do 1 + 2 first, 3 + 4 + 5 next week.
## 6. Plan for [Month X+1]
### Targets
| Metric | This Mo (actual) | Next Mo (target) | Increase | Basis |
|--------|------------------|------------------|----------|-------|
| Revenue | [X] | [X] | [+X%] | [Why this is achievable] |
| MKT spend | [X] | [X] | [+/-X%] | |
| ROAS | [X] | [X] | [+X] | |
| New customers | [X] | [X] | [+X%] | |
| CPMess | [X] | [X] | [-X%] | |
### Weekly plan
| Week | Focus | Budget | Main KPI |
|------|-------|--------|----------|
| Week 1 | [e.g., Launch new creative + A/B test] | [X] | [CPMess <$1.20] |
| Week 2 | [e.g., Scale winners + cut losers] | [X] | [ROAS >3x] |
| Week 3 | [e.g., Push BOFU + retarget] | [X] | [Close rate >40%] |
| Week 4 | [e.g., Wrap up + prep next month] | [X] | [Hit revenue target] |
### Budget allocation
| Category | Amount | % | Note |
|----------|--------|---|------|
| Meta Ads | [X] | [X%] | |
| TikTok Ads | [X] | [X%] | |
| Google Ads | [X] | [X%] | |
| Content production | [X] | [X%] | UGC, video shoot, design |
| Tools & software | [X] | [X%] | |
| **Total** | **[X]** | **100%** | |
If report needs presentation to stakeholders (boss, client), create charts:
| # | Chart | Type | X-axis | Y-axis | Note |
|---|-------|------|--------|--------|------|
| 1 | Revenue vs Spend by week | Line chart (2 lines) | Wk 1-4 | USD | 2 colors: green (revenue), red (spend) |
| 2 | Conversion funnel | Funnel chart | Funnel step | Volume | Impression -> Customer |
| 3 | CPMess by week | Bar chart | Wk 1-4 | USD | Add target line (dashed) |
| 4 | Budget allocation | Pie chart | — | % | By channel (Meta, TikTok, Google, Content) |
| 5 | This Mo vs Last Mo | Grouped bar chart | Metric | Value | 2 colors: green (this), gray (last) |
Recommended tools: Google Sheets/Looker Studio (free), Canva (presentation).
Weekly report shorter than monthly — keep parts 1, 4, 5 only:
# Weekly Report [X]: [DD/MM-DD/MM/YYYY]
## Quick results
| Metric | Wk Target | Actual | vs Last Wk | Rating |
|--------|-----------|--------|------------|--------|
| Spend | | | | |
| Messages | | | | |
| CPMess | | | | |
| Leads | | | | |
| Bookings | | | | |
| Customers | | | | |
| Revenue | | | | |
## Good / Bad
- GOOD: [1-2 points]
- BAD: [1-2 points]
## Next week actions
| # | Task | Owner | Deadline |
|---|------|-------|----------|
| 1 | | | |
| 2 | | | |
| 3 | | | |
Check before delivering report:
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
Take minhnv0807/07-marketing-report-global from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.