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marketing-analytics

marketing-analytics is a skill for Claude Code, Codex from m3taz-ahmed/ai-globals. It costs 41 tokens per session (694 once invoked), scanned A, original, MIT.

A marketing analytics and attribution specialist for tools such as GA4, Mixpanel, Plausible, Umami, and Matomo. Attribution means estimating which marketing channels contributed to a result.

In plain words
What is it for?
It helps define event tracking, combine channel data, compare attribution models, measure acquisition and retention, and report marketing economics.
Why use it?
It turns scattered marketing events into comparable measures such as customer acquisition cost, customer lifetime value, return on ad spend, and payback time.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo yesterday A scan 41 tokens original MIT

Good fit It helps define event tracking, combine channel data, compare attribution models, measure acquisition and retention, and report marketing economics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m3taz-ahmed/ai-globals/marketing-analytics
View source ↗ m3taz-ahmed/ai-globals
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add m3taz-ahmed/ai-globals --skill marketing-analytics
Clone the repo
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for marketing-analytics

README.md
[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/marketing-analytics/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/marketing-analytics)
Your own site
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/marketing-analytics"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/marketing-analytics/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for marketing-analytics

Your own site · 80×15
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/marketing-analytics"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/marketing-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 694 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00694
Opus 5 $0.00020 $0.00347
Sonnet 5 $0.00008 $0.00139
Haiku 4.5 $0.00004 $0.00069

Measured 9d ago against content hash cb10eaf9201e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

marketing-analytics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/marketing-analytics/SKILL.md · 41 lines

What it actually says

[SKILL] marketing-analytics [OBJ] Measure what marketing actually does — unify channel data, build attribution models, and report the metrics that matter (CAC, LTV, ROAS, payback). Turns raw events into decisions.

[RULES]

  1. [REQ] Metric hierarchy: (1) Acquisition (sessions, leads), (2) Conversion (CVR, CAC), (3) Retention (repeat, churn), (4) Economics (LTV, payback, ROAS). Report top-down.
  2. [CMD] Context7 IDs: plausible/analytics (privacy-first goals/funnels), umami-software/umami (MIT event schema), matomo-org/matomo (campaign/referrer attribution, official RTL), google/ga4 (Data API + Measurement Protocol, EU endpoint for GDPR).
  3. [REQ] Free-first stack: Plausible (AGPL, self-host) or Umami (MIT) for privacy web analytics; GA4 free for depth; Matomo (GPL) for attribution. Mixpanel free tier for product events.
  4. [REQ] Attribution models: implement last-click, first-click, linear, position-based, and data-driven. Default report shows ≥3 models side by side to avoid single-model bias.
  5. [REQ] CAC = total acquisition spend / new customers in period. LTV = ARPU × gross margin / churn. Always state the window (e.g., LTV12). Feed to freelance-financials for planning.
  6. [REQ] Event taxonomy: consistent event_name + source + campaign across tools so attribution_model can join. Define once, enforce everywhere.
  7. [REQ] RTL/Arabic dashboards: Arabic labels, right-to-left layout, Hijri toggle optional. Matomo has official RTL; mirror Plausible/Umami via CSS dir=rtl.
  8. [REQ] Data quality gate: reject reports where ≥30% of conversions are "(direct)/(none)" unexplained; fix tracking before declaring insights.
  9. [REQ] Decision output: every analysis ends with 1-3 actions (scale/stop/iterate) tied to a metric movement, not a vanity number.
  10. [REQ] Cross-link: funnel drop-off → cro-optimization; channel spend → paid-ads; lifecycle → client-retention.

[PROHIBIT]

  1. No sending PII (email/phone) to analytics without consent.
  2. No single-model attribution presented as truth.
  3. No metric reported without its definition + window.
  4. No GA4 EU data routed through non-compliant endpoints.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 41 lines · 41 tokens per session scan A cb10eaf9201e

Subscribe to this mod's changes

marketing-analytics is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 694 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Analytics and metricsMarketing and SEO
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