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Marketing Data Analysis (Global) · minhnv0807 | DecimalAI

marketingby minhnv0807

Marketing Data Analysis (Global)

minhnv0807/13-data-analysis-global

Source minhnv0807/ai-business-skills ↗License MIT

Turn raw marketing data into actionable insight — analysis by channel, campaign, creative, audience, time. Descriptive → Diagnostic → Predictive → Prescriptive.

SkillScore82Maintained

Automatic

Data Analyst pack

Last verified 8/19/2026

What it changes

Passed 18 of 22 test cases with the skill, and 11 of 22 without it.

Without skill50%

With skill82%

Checks it passed that the model alone missed

Recommends Northbeam as the attribution tool.
Assigns a specific deadline for each recommended action item.
Assigns an explicit owner role for each recommended action item.

and 5 more in the full report

7 fixed11 passed either way4 still failing0 broke

Pass-rate lift: +32 pp
Tokens: +164%
Agent turns: 0%
Response time: -11%

Model gemini-3.6-flashMeasured 8/19/2026v118 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/minhnv0807-13-data-analysis-global/SKILL.md https://app.decimal.ai/s/minhnv0807-13-data-analysis-global/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add minhnv0807-13-data-analysis-global, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/minhnv0807-13-data-analysis-global/ and pins it in .decimal/skills.lock

decimalai skills add minhnv0807-13-data-analysis-global

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/minhnv0807-13-data-analysis-global/SKILL.md https://app.decimal.ai/s/minhnv0807-13-data-analysis-global/SKILL.md

Raw file: /s/minhnv0807-13-data-analysis-global/SKILL.md ↗ · machine-readable summary at /s/minhnv0807-13-data-analysis-global.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

We need an executive briefing line summarizing last week's Google Ads performance. CPL increased from $15 to $22.50 (+50%) because the primary landing page form broke on iOS Safari mobile devices. Should the opening sentence of our summary lead with raw numbers or qualitative diagnostic judgment?

What was checked, without and with the skill
Checked	Without skill	With skill
Leads executive summary statements with qualitative diagnostic conclusions before citing numbers.	Missed	Passed

case-17 · gemini-3.6-flash · 8/19/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md415 linessingle file

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:

Data source? Meta Ads, TikTok Ads, GA4, Shopify, Triple Whale/Hyros/Northbeam, Google Sheets — single source or combined?
Time window? This week, this month, A vs B (e.g. March vs April)?
Current business goal? Increase leads, lower CPL, raise ROAS, or a specific issue to fix?
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 investigation
Recommendations have deadlines	Each recommendation specifies: action, when, owner, success metric

Analysis Frameworks by Source

Track record

Benchmark

18 / 22

test cases passed, vs 11 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

minhnv0807 / ai-business-skills

skills/en/13-data-analysis-global/SKILL.md

View on GitHub ↗

License MITImported 8/17/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

minhnv0807/13-phan-tich-du-lieuDoc data marketing tho va bien thanh insight hanh dong — phan tich theo kenh, chien dich, creative, doi tuong, thoi gianClose match+17 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Marketing Data Analysis (Global)

Information Gathering

Analysis Principles

Reading Order

Presentation Rules

Analysis Frameworks by Source

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills