Marketing Product Analytics
by vasilyu1983
Product analytics instrumentation and strategy covering event taxonomy design, tracking plans, user behavior analysis, activation/retention metrics, and marketing attribution. PostHog-first with multi-platform support (Pendo, Amplitude, Mixpanel, Heap).
Skill Details
Repository Files
1 file in this skill directory
name: marketing-product-analytics description: Product analytics instrumentation and strategy covering event taxonomy design, tracking plans, user behavior analysis, activation/retention metrics, and marketing attribution. PostHog-first with multi-platform support (Pendo, Amplitude, Mixpanel, Heap).
Product Analytics - Instrumentation & Measurement OS
Modern Best Practices (January 2026): PostHog-first, session context registration, strict event naming, North Star activation events, privacy-first attribution.
Primary sources live in data/sources.json. If web search is available, refresh time-sensitive details against official docs before giving definitive advice.
No fluff. Only executable steps, templates, and checklists.
When to Use This Skill
- Event taxonomy design: Naming conventions, event hierarchy, property structure
- Tracking plan creation: What to track, where, and why
- Marketing attribution: UTM capture, campaign tracking, source attribution
- Activation metrics: Defining and measuring user activation
- Retention analysis: Cohort analysis, churn prediction, engagement scoring
- Platform setup: PostHog, Pendo, Amplitude, Mixpanel, Heap configuration
- Data quality: Event validation, debugging, governance
Default Workflow (Use Unless User Overrides)
- Clarify goals and constraints: business questions, lifecycle stages, identity model, privacy/consent requirements, platforms (web/mobile/backend).
- Define the North Star value event: one canonical event that represents value received (plus the smallest set of supporting events).
- Write the tracking plan: use
assets/tracking-plan-saas.mdas the starting template; define required properties and ownership. - Implement instrumentation: pick the platform guide in Quick Reference (PostHog/Pendo/Amplitude/Mixpanel/Heap; server-side if needed).
- QA and harden: use
assets/analytics-qa-checklist.md+references/event-quality-rules.md+references/production-hardening.md.
Core Principles
1. North Star Value Event (VITAL)
Every product must have ONE canonical activation event - the single event that means "user received real value."
| Product Type | North Star Event | When It Fires |
|---|---|---|
| Content/Media | content_consumed |
Content fully loaded and visible |
| SaaS Tool | workflow_completed |
User completes core workflow |
| E-commerce | purchase_completed |
Transaction successful |
| Developer Tool | integration_working |
First successful API call |
Rule: Every feature event should collapse into ONE activation event with properties:
// PASS CORRECT: One event, differentiated by property
posthog.capture('value_delivered', { value_type: 'report', value_id: 'rpt_123' });
posthog.capture('value_delivered', { value_type: 'integration', value_id: 'int_456' });
// FAIL WRONG: Fragmented "value" events (harder to unify in retention/funnels)
posthog.capture('report_generated');
posthog.capture('integration_working');
2. Minimum Viable Analytics (MVA)
Start with 5-15 events, not 200. You can always add more.
| Layer | Required Events | Optional |
|---|---|---|
| Acquisition | page_viewed, signup_completed |
campaign_landed |
| Activation | Your activation event (1-2 max) | onboarding_step_completed |
| Engagement | Your engagement signal (1-2 max) | feature_used |
| Conversion | purchase_completed |
checkout_started |
3. Session Context Registration
Register standard context once per session using posthog.register():
posthog.register({
app_env: 'prod',
platform: 'web',
landing_path: window.location.pathname,
traffic_source: deriveTrafficSource(),
utm_source, utm_medium, utm_campaign
});
4. Event Naming Convention
| Rule | Correct | Incorrect |
|---|---|---|
| Lowercase only | user_signed_up |
User_Signed_Up |
| Snake_case | button_clicked |
buttonClicked |
| Object_action format | project_created |
createProject |
Quick Reference
| Task | Reference |
|---|---|
| PostHog setup | references/posthog-implementation.md |
| Pendo setup | references/pendo-implementation.md |
| Amplitude setup | references/amplitude-implementation.md |
| Mixpanel setup | references/mixpanel-implementation.md |
| Heap setup | references/heap-implementation.md |
| Server-side tracking | references/server-side-tracking.md |
| Privacy compliance | references/privacy-compliance.md |
| Event quality rules | references/event-quality-rules.md |
| Production patterns | references/production-hardening.md |
| Tracking plan template | assets/tracking-plan-saas.md |
| UTM standards | assets/utm-naming-standards.md |
Implementation Checklist
### Event Correctness
- [ ] Activation event fires only when value is **visible** (not on mount)
- [ ] Event includes required properties defined in the tracking plan (e.g., `object_type`, `object_id`, `surface`, `flow`)
- [ ] Dedupe guard used where re-renders can double-fire (see `references/production-hardening.md`)
- [ ] Event fires in **exactly one place** per feature
### Session Context
- [ ] `registerSessionContext()` called on app init
- [ ] Includes: `app_env`, `platform`, `landing_path`, `traffic_source`, UTMs
### Type Safety
- [ ] `TrafficSource` uses TypeScript enum, not free string
- [ ] All properties use `snake_case`
### Privacy
- [ ] Person properties contain **no PII** by default
- [ ] Email only stored with explicit consent
Decision Tree
### Not seeing expected events?
├─ PostHog default events visible? ($pageview, autocapture)
│ ├─ Yes -> Custom event bug -> Check component, guards, dedupe
│ └─ No -> SDK issue -> Check env vars, consent, ad blockers
├─ Check DevTools Network -> verify /e/ calls
└─ Check PostHog Live Events (not Activity)
### Can't answer business questions?
├─ Missing events -> Add custom events for key moments
├─ Missing properties -> Enrich with context
├─ No user ID -> Implement identify() calls
└─ Attribution gaps -> Capture UTMs, persist through signup
Anti-Patterns Summary
| Anti-Pattern | Instead |
|---|---|
| No North Star event | Define ONE canonical activation event |
Excessive *_viewed events |
Collapse into one event with properties |
| PII in identify() | State-based identification only |
| Event spam from re-renders | Use isPostHogReady() guard + dedupe |
Free text source |
Use TypeScript enum for TrafficSource |
| Non-unique IDs | Use stable domain IDs (*_id) or an action_instance_id |
| Tracking everything | Focus on 5-15 key events (MVA) |
| Inconsistent naming | Enforce lowercase snake_case strictly |
See references/event-quality-rules.md for detailed examples.
Metrics and Benchmarks
Default to internal baselines and trendlines; use external benchmarks only when comparing like-for-like segments and definitions.
If you need external references, see data/sources.json -> benchmarks_research.
Templates
| Template | Purpose |
|---|---|
| tracking-plan-saas.md | Complete SaaS tracking plan |
| marketing-event-library.md | Marketing attribution events |
| utm-naming-standards.md | UTM parameter guide |
| activation-metrics-template.md | Activation metric definition |
| analytics-qa-checklist.md | Data quality checklist |
International Markets
This skill uses US/UK market defaults. For international product analytics:
| Need | See Skill |
|---|---|
| Regional compliance (GDPR, PIPL, LGPD) | marketing-geo-localization |
| Regional analytics platforms (Baidu Analytics) | marketing-geo-localization |
| Privacy requirements by region | marketing-geo-localization |
| Cookie consent by jurisdiction | marketing-geo-localization |
If your query is primarily about GDPR/PIPL/LGPD or consent configuration, use marketing-geo-localization alongside this skill.
Related Skills
- marketing-cro - A/B testing, conversion optimization
- marketing-leads-generation - Lead funnel, B2B attribution
- qa-agent-testing - LLM agent testing (complements AI analytics)
- data-sql-optimization - SQL for analytics queries
Data Sources
See data/sources.json for official documentation links.
Related Skills
Team Composition Analysis
This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.
Kpi Dashboard Design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Sql Optimization Patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Senior Data Scientist
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
Mermaid Diagrams
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts,
Ux Researcher Designer
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
Supabase Postgres Best Practices
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
Kpi Dashboard Design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Sql Optimization Patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Dashboard Design
USE THIS SKILL FIRST when user wants to create and design a dashboard, ESPECIALLY Vizro dashboards. This skill enforces a 3-step workflow (requirements, layout, visualization) that must be followed before implementation. For implementation and testing, use the dashboard-build skill after completing Steps 1-3.
