This skill should be used when the user asks to "set up analytics", "build tracking", "conversion tracking", "measurement plan", "dashboards", or mentions analytics, tracking implementation, or attribution. Creates measurement systems that drive data-informed decisions.
Resources
1Install
npx skillscat add mikefilsaime-groove/clickcampaigns-for-claude-code-in-cursor/analytics-tracking Install via the SkillsCat registry.
Analytics & Tracking Implementation
Build analytics and tracking implementation plans that provide crystal-clear insight into campaign performance, attribution, and user behavior. Enable data-driven decisions with trustworthy measurement.
Core Objectives
- Define metrics that matter for acquisition, activation, revenue, retention
- Implement privacy-compliant, resilient tracking
- Provide dashboards, alerting, and QA processes
- Enable confident decision-making with clean data
Deliverable Package
1. Measurement Strategy
Business Goals → KPIs → Metrics:
- Cost per lead (CPL)
- Lifetime value (LTV)
- Customer acquisition cost (CAC)
- CAC payback period
- Retention rate
Attribution Model:
- First touch
- Last touch
- Data-driven
- Multi-touch
- MMM hybrid
Reporting Cadence:
- Daily (campaigns)
- Weekly (performance review)
- Monthly (strategic)
- Quarterly (planning)
2. Tracking Implementation Spec
Event Taxonomy:
- Naming conventions
- Event descriptions
- Parameters required
- Example payloads
Key Events to Track:
- Page views (GA4:
page_view) - CTA clicks (GA4:
click) - Form submissions (GA4:
form_submit) - Add to cart (GA4:
add_to_cart) - Initiate checkout (GA4:
begin_checkout) - Purchase (GA4:
purchase) - Lead generated (GA4:
generate_lead)
Tool-Specific Implementation:
- GA4: Use the Google Tag (gtag.js) or GTM. Configure "Enhanced Measurement" for scrolls, clicks, and video engagement. Ensure
debug_mode: trueduring testing. - GTM: Implement a single container per domain. Use "Workspace Versions" to track changes. Prioritize "Triggers" that fire on specific data layer events rather than just URL patterns.
- Meta CAPI: Use Server-side GTM to mirror browser events. deduplicate using
event_id.
Consent Handling:
- Cookie consent logic
- Server-side tracking
- Privacy compliance
3. Dashboard Blueprint
Executive Dashboard:
- Revenue metrics
- CAC and LTV
- Channel performance
- Trend lines
Marketing Dashboard:
- Campaign performance
- Conversion rates
- Attribution breakdown
- Budget pacing
Paid Media Dashboard:
- ROAS by platform
- CPL/CPA trends
- Ad creative performance
- Audience performance
Alerts to Configure:
- CPL increases 20%+ WoW
- CVR drops below threshold
- ROAS below target
- Budget pacing off
4. QA & Maintenance
Pre-Launch Checklist:
- Tag Assistant validation
- Pixel Helper checks
- Conversion API testing
- Test conversion firing
- Cross-device testing
Ongoing QA:
- Weekly quick audits
- Monthly deep dives
- Quarterly reviews
Change Management:
- New campaign setup
- Offer launch protocol
- Tag deployment SOP
5. Enablement Materials
Metric Definitions:
- Plain-English explanations
- How to interpret each
- Decision triggers
Glossary:
- Tracking terms
- Dashboard terminology
- Attribution concepts
Essential Tracking Components
Acquisition Tracking
UTM Governance:
- Required parameters
- Naming patterns
- Documentation
Source Mapping:
- Channel definitions
- Medium categories
- Campaign naming
Lead-to-Revenue Stitching:
- Form IDs
- Click IDs
- Offline conversions
Onsite Analytics
Core Events:
- Page views
- Scroll depth
- CTA clicks
- Form interactions
- Video plays
Funnel Steps:
- Key conversion points
- Drop-off tracking
- Micro-conversions
Ecommerce Tracking
Transaction Data:
- Transaction IDs
- Product SKUs
- Revenue and tax
- Discounts applied
Enhanced Ecommerce:
- Product impressions
- Add to cart
- Checkout steps
- Purchase complete
Lifecycle Metrics
Activation:
- Time to value
- Onboarding completion
- Feature adoption
Retention:
- Login frequency
- Feature usage
- Support tickets
- Churn signals
Privacy & Compliance
Consent Management:
- Cookie banner logic
- Preference centers
- Regional rules
Data Policies:
- Retention periods
- Deletion workflows
- Processor documentation
Quality Checklist
- Every KPI ties to business objective
- Tracking IDs consistent end-to-end
- Documented deployment/rollback process
- Privacy updates addressed
- Dashboards are actionable, not vanity
Additional Resources
Reference Files
references/tracking-specs.md- Event taxonomy and specifications