بنقرة واحدة
posthog-analytics
PostHog API expertise for GTM dashboards — REST API, HogQL, funnels, cohorts, UTM attribution
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
PostHog API expertise for GTM dashboards — REST API, HogQL, funnels, cohorts, UTM attribution
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Email marketing automation — drip sequences, deliverability, template patterns, provider APIs (Resend, SendGrid, Postmark)
Funnel diagnostics engine — bottleneck detection, cross-data correlation, AARRR benchmarks by vertical
High-Velocity Advertising (HVA) — the discipline for creative discovery at machine speed. CLEAR decision rule, the five-layer Stack, the Read Ladder, the two-clocks asymmetry, Benjamini-Hochberg correction, the Vault moat, and the Fit Boundary. The spec behind /hva, /hva-forge, /hva-lint, /hva-review, /hva-vault and the hva-desk agent.
Direct response copywriting framework for paid ads — Hormozi offers, PAS, AIDA, variation generation, LATAM hooks
Synthetic Demand Validation (SDV) — predict purchase intent, price tolerance, and objections for ad creatives, offers, and landing copy by eliciting free-text reactions from a synthetic persona panel and mapping them to Likert distributions. Comparative ranking is the headline signal. Use for "will this convert", "which variant wins", "is $X the right price", "pre-test this creative/offer/copy before spend".
Cross-channel GTM orchestration — channel sequencing, attribution models, retargeting chains, multi-touch journeys
| name | posthog-analytics |
| description | PostHog API expertise for GTM dashboards — REST API, HogQL, funnels, cohorts, UTM attribution |
Build and manage analytics dashboards, funnels, and cohort analyses programmatically via the PostHog API. This skill covers the REST API, HogQL query patterns, and GTM-specific dashboard construction.
All API requests require a personal API key or project API key:
# Headers for all requests
Authorization: Bearer phx_XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Content-Type: application/json
Base URL format: https://us.posthog.com (US) or https://eu.posthog.com (EU)
Project ID: Required for most endpoints. Found in PostHog > Project Settings.
| Endpoint | Method | Purpose |
|---|---|---|
/api/projects/:id/dashboards/ | GET/POST | List or create dashboards |
/api/projects/:id/insights/ | GET/POST | List or create insights (charts) |
/api/projects/:id/insights/trend/ | POST | Run trend query |
/api/projects/:id/insights/funnel/ | POST | Run funnel query |
/api/projects/:id/cohorts/ | GET/POST | List or create cohorts |
/api/projects/:id/events/ | GET | List captured events |
/api/projects/:id/persons/ | GET | List persons with properties |
/api/projects/:id/query/ | POST | Run HogQL queries |
/api/projects/:id/feature_flags/ | GET/POST | Manage feature flags |
POST /api/projects/:project_id/dashboards/
{
"name": "GTM Campaign Performance",
"description": "Tracks paid acquisition funnel and campaign ROI",
"filters": {},
"restriction_level": 21,
"tags": ["gtm", "paid-acquisition"]
}
After creating insights, link them to a dashboard:
PATCH /api/projects/:project_id/dashboards/:dashboard_id/
{
"tiles": [
{
"insight": INSIGHT_ID,
"layouts": {
"sm": {"x": 0, "y": 0, "w": 6, "h": 5},
"xs": {"x": 0, "y": 0, "w": 1, "h": 5}
}
}
]
}
sm breakpoint)w: width in columns (1-12), h: height in rows, x/y: positionw:12, h:8, half = w:6, h:5, quarter = w:3, h:5POST /api/projects/:project_id/insights/
{
"name": "Daily Signups by UTM Source",
"filters": {
"insight": "TRENDS",
"events": [
{
"id": "user_signed_up",
"type": "events",
"math": "total",
"properties": []
}
],
"breakdown": "$utm_source",
"breakdown_type": "event",
"date_from": "-30d",
"interval": "day"
}
}
POST /api/projects/:project_id/insights/
{
"name": "Signup to Payment Funnel",
"filters": {
"insight": "FUNNELS",
"events": [
{"id": "$pageview", "order": 0, "properties": [{"key": "$current_url", "value": "/landing", "operator": "icontains"}]},
{"id": "user_signed_up", "order": 1},
{"id": "onboarding_completed", "order": 2},
{"id": "plan_selected", "order": 3},
{"id": "payment_completed", "order": 4}
],
"funnel_window_days": 14,
"funnel_viz_type": "steps",
"date_from": "-30d",
"breakdown": "$utm_source",
"breakdown_type": "event"
}
}
POST /api/projects/:project_id/insights/
{
"name": "Weekly Retention by Cohort",
"filters": {
"insight": "RETENTION",
"target_entity": {"id": "$pageview", "type": "events"},
"returning_entity": {"id": "$pageview", "type": "events"},
"retention_type": "retention_first_time",
"period": "Week",
"total_intervals": 8,
"date_from": "-60d"
}
}
HogQL is PostHog's SQL dialect built on ClickHouse. Use it for custom analyses that go beyond built-in insights.
POST /api/projects/:project_id/query/
{
"query": {
"kind": "HogQLQuery",
"query": "SELECT properties.$utm_source AS source, count() AS signups FROM events WHERE event = 'user_signed_up' AND timestamp > now() - interval 30 day GROUP BY source ORDER BY signups DESC LIMIT 20"
}
}
| Table | Contains |
|---|---|
events | All tracked events with properties |
persons | User profiles with properties |
sessions | Session-level data with duration, pages, etc. |
groups | Group analytics (companies, organizations) |
cohort_people | Which persons belong to which cohorts |
session_replay_events | Session replay metadata |
| Property | Description |
|---|---|
$current_url | Page URL where event fired |
$referrer | Referrer URL |
$utm_source | UTM source parameter |
$utm_medium | UTM medium parameter |
$utm_campaign | UTM campaign parameter |
$utm_content | UTM content parameter |
$utm_term | UTM term parameter |
$browser | Browser name |
$device_type | Desktop, Mobile, Tablet |
$os | Operating system |
$geoip_country_code | Country code (ISO) |
$geoip_city_name | City name |
POST /api/projects/:project_id/cohorts/
{
"name": "Paid Acquisition Users (Last 30d)",
"is_static": false,
"groups": [
{
"properties": [
{
"key": "$utm_medium",
"value": ["paid", "cpc", "cpm"],
"operator": "exact",
"type": "person"
},
{
"key": "$initial_utm_source",
"value": "meta",
"operator": "exact",
"type": "person"
}
],
"days": 30
}
]
}
POST /api/projects/:project_id/cohorts/
{
"name": "Activated Users (completed onboarding)",
"is_static": false,
"groups": [
{
"action_id": null,
"event_id": "onboarding_completed",
"days": 90,
"count": 1,
"count_operator": "gte"
}
]
}
$utm_source$geoip_country_code$device_type$current_url filtered to /landing*