13-data-analysis-global
Turn raw marketing data into actionable insight — analysis by channel, campaign, creative, audience, time. Descriptive → Diagnostic → Predictive → Prescriptive.
Profile →npx skills add minhnv0807/ai-business-skills --skill 13-data-analysis-global --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Marketing Data Analysis (Global) > Insight before numbers. Lead with judgment, illustrate with data — never list numbers without interpretation. --- ## Information Gathering Ask up to 4 questions: 1. **Data source?** Meta Ads, TikTok Ads, GA4, Shopify, Triple Whale/Hyros/Northbeam, Google Sheets — single source or combined? 2. **Time window?** This week, this month, A vs B (e.g. March vs April)? 3. **Current business goal?** Increase leads, lower CPL, raise ROAS, or a specific issue to fix? 4. **Paste data here** — drop a table, or describe core metrics (spend, impressions, clicks, leads, revenue). --- ## Analysis Principles ### Reading Order ``` 1. DESCRIPTIVE — What happened? (numbers, trends) 2. DIAGNOSTIC — Why? (root cause) 3. PREDICTIVE — What's next? (forecast) 4. PRESCRIPTIVE — What to do? (concrete actions) ``` ### Presentation Rules | Rule | Explanation | |------|-------------| | Insight first, numbers second | "CPL up 40% due to creative fatigue" — not "CPL went from $5 to $7" | | Compare, don't quote absolutes | Always compare with: prior week (WoW), prior month (MoM), or industry benchmark | | Flag anomalies | Any metric moving > 20% vs prior period → flag for invest
- Information Gathering
- Analysis Principles
- Reading Order
- Presentation Rules
- Analysis Frameworks by Source
- Meta Ads
- TikTok Ads
- Google Analytics 4
- E-commerce Attribution Tools (Dropshipping/DTC)
- Spreadsheet Data (Manual)
- Trend Detection
- Week over Week (WoW)
- Month over Month (MoM)
- Seasonality (Global)
What does the 13-data-analysis-global skill do?
Turn raw marketing data into actionable insight — analysis by channel, campaign, creative, audience, time. Descriptive → Diagnostic → Predictive → Prescriptive.
How do I install it?
Run `npx skills add minhnv0807/ai-business-skills --skill 13-data-analysis-global --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From minhnv0807/ai-business-skills, a repository with 521 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.