PostHog Analytics Patterns

SkillDatabases & data

This skill helps your AI add PostHog analytics to your product, so you can see what your users actually do. Once added, your AI can implement event tracking, identify users, and set up privacy-compliant tracking that respects GDPR consent.

Available today. Use it from your connected AI after setup.

After adding it, tell your AI what you want to learn about your users and ask it to start implementing PostHog tracking in your product.

Then ask your AI: use the PostHog Analytics Patterns skill

What your AI can do with it

  • Track user behavior in your product with PostHog events
  • Identify individual users in your analytics
  • Set up group analytics for B2B accounts
  • Build funnels to see how users move through your product
  • Configure GDPR-compliant consent patterns for tracking

What this skill tells your AI

The instructions your AI receives, as published by agents-inc/skills in src/skills/api-analytics-posthog-analytics/SKILL.md and read by ahel’s review.

Quick Guide: Use PostHog for product analytics with structured event naming (category:object_action), server-side tracking for reliability, and proper user identification integrated with your authentication flow. Client-side for UI interactions, server-side for business events. Always call reset() on logout, never store PII in event properties, and use captureImmediate() or await shutdown() in serverless environments.

Detailed Resources:


<critical_requirements>

CRITICAL: Before Using This Skill

All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering, import type, named constants)

(You MUST call posthog.identify() ONLY when a user signs up or logs in - never on every page load)

(You MUST include the user's database ID as distinct_id in ALL server-side events)

(You MUST call posthog.reset() when a user logs out to unlink future events)

(You MUST use the category:object_action naming convention for all custom events)

(You MUST NEVER include PII (email, name, phone) in event properties - use user IDs only)

</critical_requirements>


Auto-detection: PostHog, posthog-js, posthog-node, usePostHog, PostHogProvider, capture, identify, group analytics, product analytics, event tracking, funnel analysis

When to use:

  • Tracking user behavior and product analytics
  • Setting up conversion funnels and retention analysis
  • Implementing group analytics for B2B multi-tenant apps
  • Understanding feature adoption and user journeys
  • A/B testing analysis (in conjunction with feature flags)

When NOT to use:

  • Feature flag implementation (separate concern)
  • Error tracking and logging (use dedicated error tracking tools)
  • Infrastructure monitoring (use observability tools)

Key patterns covered:

  • Event naming conventions (category:object_action)
  • Property naming patterns (object_adjective, is_/has_ booleans)
  • User identification with authentication flow integration
  • Client-side tracking with React hooks
  • Server-side tracking with posthog-node
  • Group analytics for B2B organizations
  • Privacy and GDPR consent patterns
  • TypeScript patterns for type-safe events

Philosophy

PostHog analytics follows a structured taxonomy approach: consistent naming conventions, meaningful properties, and strategic placement (client vs server). Track what matters for product decisions, not everything.

Core principles:

  1. Server-side for business events - User signups, purchases, subscriptions (reliable, not blocked)
  2. Client-side for UI interactions - Button clicks, page views, form interactions
  3. Identify once per session - Not on every page load
  4. Structured naming - Makes querying and analysis possible at scale

Core Patterns

Pattern 1: Event Naming Conventions

Use the category:object_action framework for consistent, queryable event names.

// category: Context (signup_flow, settings, dashboard)
// object: Component/location (password_button, pricing_page)
// action: Present-tense verb (click, submit, view)

"signup_flow:email_form_submit";
"dashboard:project_create";
"settings:billing_plan_upgrade";

// Simpler alternative: object_verb
"project_created";
"user_signed_up";

Why good: Category prefix groups related events in PostHog UI, enables wildcard queries like signup_flow:*, consistent naming makes analysis possible at scale.

Property naming rules:

  • object_adjective: project_id, plan_name, item_count
  • is_ / has_ for booleans: is_first_purchase, has_completed_onboarding
  • _date / _timestamp suffix: trial_end_date, last_login_timestamp

See examples/core.md for complete naming examples.


Pattern 2: User Identification with Authentication

Call identify() only on auth state change (not every render). Use database user ID as distinct_id. Call reset() on logout.

// Check _isIdentified() to prevent duplicate calls
useEffect(() => {
  if (session?.user && !posthog._isIdentified()) {
    posthog.identify(session.user.id, {
      plan: session.user.plan ?? "free",
      created_at: session.user.createdAt,
      is_verified: session.user.emailVerified ?? false,
    });
  }
}, [session?.user]);
// Always reset on logout
posthog?.capture("user_logged_out");
posthog?.reset(); // Unlink future events from this user

See examples/core.md for full identification hook and logout handler.


Pattern 3: Server-Side Tracking

Track business events reliably from your backend with posthog-node.

// Serverless: use captureImmediate (guarantees HTTP completion)
await posthogServer.captureImmediate({
  distinctId: user.id,
  event: "subscription_created",
  properties: { plan: "pro", is_annual: true },
});

// Always call shutdown before returning in serverless
await posthogServer.shutdown();

Key rules:

  1. Always include distinctId (user's database ID)
  2. Use captureImmediate() for serverless (guarantees HTTP completion)
  3. Always call shutdown() before returning in serverless
  4. Configure flushAt: 1 and flushInterval: 0 for serverless

See examples/server-tracking.md for complete server setup and route examples.


Pattern 4: Group Analytics (B2B)

Associate events with organizations using PostHog groups for B2B metrics.

// Client-side: identify organization
posthog.group("company", org.id, {
  name: org.name,
  plan: org.plan ?? "free",
  member_count: org.memberCount,
});

// Server-side: include groups in event
posthogServer.capture({
  distinctId: user.id,
  event: "organization:member_invited",
  properties: { role: data.role },
  groups: { company: data.organizationId },
});

Limitations: Maximum 5 group types per project. One group per type per event.

See examples/group-analytics.md for complete group patterns.


Pattern 5: Privacy and GDPR Consent

PostHog supports cookieless tracking and consent management.

// Cookieless mode: "always" (no consent needed) or "on_reject" (with banner)
posthog.init(POSTHOG_KEY, {
  cookieless_mode: "on_reject",
  person_profiles: "identified_only",
});

// Consent methods
posthog.opt_in_capturing(); // User accepts
posthog.opt_out_capturing(); // User rejects

Key rule: Never store PII (email, name, phone, IP, address) in event properties. Use pseudonymized IDs only.

See examples/privacy-gdpr.md for consent banner integration and before_send filtering.


Performance Optimization

Web Apps (default batching): Use default settings -- PostHog batches efficiently out of the box.

Serverless (immediate delivery):

const posthogServer = new PostHog(POSTHOG_KEY, {
  flushAt: 1, // Flush after 1 event
  flushInterval: 0, // No interval batching
});
// Use captureImmediate() or capture() + await shutdown()

Reducing Costs:

posthog.init(POSTHOG_KEY, {
  person_profiles: "identified_only", // Anonymous events 4x cheaper
  autocapture: false, // Disable for high-traffic sites
});

<red_flags>

RED FLAGS

High Priority Issues:

  • Using email as distinct_id -- PII should not be the identifier
  • Missing posthog.reset() on logout -- users get mixed together
  • No await shutdown() in serverless -- events are lost
  • PII in event properties -- GDPR violation risk
  • Calling identify() on every render -- performance degradation

Common Mistakes:

  • Importing posthog directly instead of using usePostHog hook in React
  • Not setting up reverse proxy (api_host: "/ingest") -- events blocked by ad blockers
  • Different event names for same action on frontend vs backend
  • Not using person_profiles: "identified_only" -- 4x higher costs on anonymous events
  • Using capture() instead of captureImmediate() in serverless -- events may not complete

Gotchas & Edge Cases:

  • distinct_id is required for ALL server-side events (unlike client-side which auto-generates one)
  • group() must include group ID with every event (not persisted like identify())
  • Maximum 5 group types per project
  • cookieless_mode: "always" disables identify() entirely -- privacy trade-off
  • PostHog web SDK is client-side only -- will not work in server components
  • Session IDs must be manually passed to server-side events for session linking

</red_flags>


<critical_reminders>

CRITICAL REMINDERS

All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering, import type, named constants)

(You MUST call posthog.identify() ONLY when a user signs up or logs in - never on every page load)

(You MUST include the user's database ID as distinct_id in ALL server-side events)

(You MUST call posthog.reset() when a user logs out to unlink future events)

(You MUST use the category:object_action naming convention for all custom events)

(You MUST NEVER include PII (email, name, phone) in event properties - use user IDs only)

Failure to follow these rules will cause analytics data quality issues, privacy violations, or lost events.

</critical_reminders>

Signals

GitHub stars
24
Forks
8
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
api-analytics-posthog-analytics
Source
github.com/agents-inc/skills