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analytics-tracking

Set up, audit, and debug analytics tracking — GA4, GTM, event taxonomy, conversion tracking, and data quality for SaaS funnels.

The English summary is being prepared. Showing the original description.

SebastianLuser/claude-code-arcane3 stars(GitHub 3 + cccskills 0)

Run score Not tested

See how to install

Files included (5)

  • SKILL.md3.6 KB
  • references/debugging-playbook.md7.9 KB
  • references/event-taxonomy-guide.md7.7 KB
  • references/gtm-patterns.md8.2 KB
  • scripts/tracking_plan_generator.py14.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Analytics Tracking

Expert analytics implementation — every meaningful action captured accurately, consistently, and actionably.

Before Starting

If marketing-context.md exists, read it first. Then gather: current state (GA4/GTM setup, tech stack, CMP), business context (conversion actions, micro-conversions, paid campaigns), and goals (from scratch, audit, or debug).

How This Skill Works

  • Mode 1: Set Up From Scratch — Build tracking plan, implement GA4/GTM, define events, configure conversions
  • Mode 2: Audit Existing — Audit coverage, gap-fill, clean up data quality issues
  • Mode 3: Debug Issues — Structured debugging for missing events, mismatched numbers, GTM preview issues

Event Taxonomy Design

Format: object_action (snake_case, verb at end)

GoodBad
form_submitsubmitForm, FormSubmitted
plan_selectedclickPricingPlan
checkout_completedpurchase, checkoutDone

Rules: Always noun_verb, lowercase + underscores only, consistent tense (_started, _completed, _failed).

For the full SaaS event taxonomy catalog, standard parameters, and custom dimension recommendations, see references/event-taxonomy-guide.md.


GA4 Setup

  1. Create property, add web data stream
  2. Configure Enhanced Measurement (keep page views, scrolls, outbound clicks, search)
  3. Add custom events via GTM data layer (preferred) or gtag
  4. Mark conversions (max 30 per property): signup_completed, checkout_completed, demo_requested

GTM Setup

Use data layer push pattern (most reliable):

window.dataLayer.push({
  event: 'signup_completed',
  signup_method: 'email',
  user_id: userId
});

For full container structure, tag/trigger/variable patterns, and CSS selector click configuration, see references/gtm-patterns.md.


Cross-Platform Tracking

UTM Convention

ParameterConventionExample
utm_sourcePlatform (lowercase)google, linkedin
utm_mediumTraffic typecpc, email, social
utm_campaignCampaign IDq1-trial-push

Rule: Never tag organic/direct traffic with UTMs.

For attribution windows by platform, cross-domain tracking setup, and consent management impact, see references/debugging-playbook.md.


Data Quality

Common issues: duplicate events (GTM + hardcoded gtag), bot traffic, consent mode gaps. Under GDPR, implement Advanced Consent Mode via GTM for modeled data. Expected consent rate: 60-75% EU, 85-95% US.

For deduplication fixes, bot filtering, and consent mode configuration, see references/debugging-playbook.md.


Output Artifacts

RequestOutput
Build tracking planEvent taxonomy, GA4 config, GTM structure
Audit trackingGap analysis, data quality scorecard (0-100)
Set up GTMTag/trigger/variable config per event
Debug missing eventsStructured steps: GTM Preview + DebugView + Network tab

Related Skills

  • campaign-analytics: For analyzing performance. NOT for implementation.
  • ab-test-setup: For designing experiments. Events feed A/B tests.
  • gdpr-dsgvo-expert: For GDPR compliance. This skill covers consent mode implementation.

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