GA4 Event Implementation Reference
Complete reference for implementing Google Analytics 4 events: automatically collected, enhanced measurement, recommended, and custom events with exact parameter lists, code examples, and validation techniques.
Full docs: https://cogny.com/docs/ga4-event-implementation
Usage
/ga4-events # Show event model overview /ga4-events purchase # Show purchase event parameters and code /ga4-events ecommerce # Full e-commerce event funnel reference /ga4-events enhanced measurement # Enhanced measurement events list /ga4-events custom events # Custom event naming rules and limits /ga4-events validation # DebugView, Realtime, and BigQuery checks /ga4-events gtm # GTM dataLayer implementation patterns /ga4-events measurement protocol # Server-side Measurement Protocol examples
Instructions
You are a GA4 event implementation expert. Use this reference to help users implement, audit, and validate GA4 events correctly. Provide precise, copy-paste-ready code examples.
When the user asks a question, find the relevant section below and provide actionable answers with ready-to-use code. If GA4 MCP tools are available, use them to inspect the user's actual property configuration (custom dimensions, data streams, conversion events) for context-aware advice.
If the user provides a specific event name or topic as an argument, focus on that area. Otherwise, provide an overview of the event model.
Works with
Works with zero accounts: the reference below is complete on its own. When connected, these make the answer specific to the user's setup:
| Job | Primary | Enhanced when connected |
|---|---|---|
| What the property already collects | GA4 tool_get_metadata, tool_list_custom_dimensions, tool_list_conversion_events | — |
| Is the event arriving? | GA4 tool_run_realtime_report, tool_run_report | Segment get_events_volume (upstream of GA4) |
| Same action, same name everywhere | — | Segment list_tracking_plans → list_tracking_plan_rules; PostHog list_event_definitions |
| Experiment exposure event | — | GrowthBook list_experiments (tracking keys) |
See "Live validation" under Validation and Debugging.
Event Model Overview
GA4 uses an event-based data model where everything is an event. Unlike Universal Analytics hit types (pageview, event, transaction), GA4 has a single concept: events with parameters.
| Concept | Universal Analytics | GA4 |
|---|---|---|
| Data model | Hit-based (pageview, event, transaction) | Event-based (everything is an event) |
| Event structure | Category / Action / Label / Value | Event name + parameters (key-value pairs) |
| Sessions | Server-defined, 30-min timeout | Derived from session_start event |
| Pageviews | Dedicated hit type | page_view event with page_location parameter |
| E-commerce | Enhanced Ecommerce plugin | Built-in recommended events with items array |
| Custom data | Custom dimensions/metrics (index-based) | Event parameters + custom dimensions/metrics (name-based) |
Every GA4 event has:
- Event name: String identifier (e.g.,
page_view,purchase) - Event parameters: Key-value pairs (e.g.,
page_location,transaction_id) - User properties: Persistent user attributes (e.g.,
membership_tier)
Automatically Collected Events
Collected automatically with no configuration. Cannot be disabled.
Web
| Event | Trigger | Key Parameters |
|---|---|---|
first_visit | First time user visits (new cookie) | None |
session_start | New session begins (30-min timeout) | ga_session_id, ga_session_number |
page_view | Every page load (or history.pushState in SPAs) | page_location, page_title, page_referrer |
user_engagement | Page in focus for 1+ second with interaction | engagement_time_msec |
Mobile (Firebase SDK)
| Event | Trigger | Key Parameters |
|---|---|---|
first_open | First app open after install | previous_gmp_app_id, updated_with_analytics |
session_start | New session begins | ga_session_id, ga_session_number |
screen_view | Screen transition | firebase_screen, firebase_screen_class, firebase_screen_id |
user_engagement | App in foreground 1+ second | engagement_time_msec |
app_update | App updated and launched | previous_app_version |
app_remove | App removed (Android only) | None |
os_update | OS updated | previous_os_version |
Auto-attached Parameters (every event)
language, page_location, page_referrer, page_title, screen_resolution, ga_session_id, ga_session_number, engagement_time_msec
Enhanced Measurement Events
Collected automatically when enabled in Admin > Data Streams > Enhanced Measurement. Each can be toggled individually.
| Event | Trigger | Key Parameters |
|---|---|---|
scroll | User scrolls past 90% of page | percent_scrolled (always 90) |
click | Outbound link click | link_url, link_domain, link_classes, link_id, outbound |
view_search_results | URL contains search query parameter | search_term |
video_start | YouTube embed starts playing | video_url, video_title, video_provider, video_current_time, visible |
video_progress | YouTube video reaches 10/25/50/75% | Same as video_start plus video_percent |
video_complete | YouTube video reaches end | Same as video_start |
file_download | Click on file link (pdf, xls, doc, zip, etc.) | file_name, file_extension, link_url, link_text, link_domain |
form_start | First interaction with a form | form_id, form_name, form_destination |
form_submit | Form submitted | form_id, form_name, form_destination, form_submit_text |
Note: Video tracking only works with YouTube embeds using enablejsapi=1.
Recommended Events — All Properties
| Event | Parameters |
|---|---|
login | method (STRING) |
sign_up | method (STRING) |
share | method (STRING), content_type (STRING), item_id (STRING) |
search | search_term (STRING) |
select_content | content_type (STRING), content_id (STRING) |
javascriptgtag('event', 'login', { method: 'Google' }); gtag('event', 'sign_up', { method: 'Email' }); gtag('event', 'search', { search_term: 'running shoes' });
Recommended Events — E-commerce
Implement in order for full funnel reporting.
view_item_list
javascriptgtag('event', 'view_item_list', { item_list_id: 'category_123', item_list_name: 'Running Shoes', items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', item_brand: 'RunCo', item_category: 'Shoes', item_category2: 'Running', item_variant: 'Blue', price: 129.99, currency: 'USD', index: 0, item_list_id: 'category_123', item_list_name: 'Running Shoes' }] });
select_item
javascriptgtag('event', 'select_item', { item_list_id: 'category_123', item_list_name: 'Running Shoes', items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', price: 129.99, currency: 'USD', index: 0 }] });
view_item
javascriptgtag('event', 'view_item', { currency: 'USD', value: 129.99, items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', item_brand: 'RunCo', item_category: 'Shoes', item_variant: 'Blue', price: 129.99, currency: 'USD', quantity: 1 }] });
add_to_cart
javascriptgtag('event', 'add_to_cart', { currency: 'USD', value: 129.99, items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', price: 129.99, currency: 'USD', quantity: 1 }] });
remove_from_cart
javascriptgtag('event', 'remove_from_cart', { currency: 'USD', value: 129.99, items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', price: 129.99, currency: 'USD', quantity: 1 }] });
view_cart
javascriptgtag('event', 'view_cart', { currency: 'USD', value: 259.98, items: [ { item_id: 'SKU_123', item_name: 'Trail Runner Pro', price: 129.99, currency: 'USD', quantity: 1 }, { item_id: 'SKU_456', item_name: 'Road Runner Elite', price: 149.99, currency: 'USD', quantity: 1 } ] });
begin_checkout
javascriptgtag('event', 'begin_checkout', { currency: 'USD', value: 259.98, coupon: 'SUMMER20', items: [ { item_id: 'SKU_123', item_name: 'Trail Runner Pro', price: 129.99, currency: 'USD', quantity: 1 }, { item_id: 'SKU_456', item_name: 'Road Runner Elite', price: 149.99, currency: 'USD', quantity: 1 } ] });
add_shipping_info
javascriptgtag('event', 'add_shipping_info', { currency: 'USD', value: 259.98, coupon: 'SUMMER20', shipping_tier: 'Express', items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', price: 129.99, currency: 'USD', quantity: 1 }] });
add_payment_info
javascriptgtag('event', 'add_payment_info', { currency: 'USD', value: 259.98, coupon: 'SUMMER20', payment_type: 'Credit Card', items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', price: 129.99, currency: 'USD', quantity: 1 }] });
purchase
javascriptgtag('event', 'purchase', { transaction_id: 'T12345', // REQUIRED — unique transaction ID value: 259.98, // sum of price * quantity (no tax/shipping); needed for revenue currency: 'USD', // ISO 4217 — REQUIRED whenever value is set tax: 20.80, shipping: 9.99, coupon: 'SUMMER20', items: [ { item_id: 'SKU_123', item_name: 'Trail Runner Pro', affiliation: 'Online Store', coupon: 'ITEM10OFF', discount: 13.00, item_brand: 'RunCo', item_category: 'Shoes', item_category2: 'Running', item_variant: 'Blue', price: 129.99, currency: 'USD', quantity: 1 }, { item_id: 'SKU_456', item_name: 'Road Runner Elite', affiliation: 'Online Store', item_brand: 'RunCo', item_category: 'Shoes', price: 149.99, currency: 'USD', quantity: 1 } ] });
Critical: purchase requires transaction_id and items. value is needed for revenue reporting, and currency is required whenever value is set (without it revenue isn't computed). GA4 deduplicates by transaction_id within 72 hours.
refund
javascript// Full refund gtag('event', 'refund', { transaction_id: 'T12345', value: 259.98, currency: 'USD' }); // Partial refund gtag('event', 'refund', { transaction_id: 'T12345', value: 129.99, currency: 'USD', items: [{ item_id: 'SKU_123', price: 129.99, currency: 'USD', quantity: 1 }] });
Recommended Events — Lead Generation
generate_lead
javascriptgtag('event', 'generate_lead', { currency: 'USD', value: 50.00 });
Recommended Events — Gaming
| Event | Parameters |
|---|---|
earn_virtual_currency | virtual_currency_name (STRING), value (NUMBER) |
spend_virtual_currency | virtual_currency_name (STRING), value (NUMBER), item_name (STRING) |
level_up | level (NUMBER), character (STRING) |
post_score | score (NUMBER, required), level (NUMBER), character (STRING) |
tutorial_begin | None |
tutorial_complete | None |
unlock_achievement | achievement_id (STRING, required) |
javascriptgtag('event', 'earn_virtual_currency', { virtual_currency_name: 'Coins', value: 100 }); gtag('event', 'spend_virtual_currency', { virtual_currency_name: 'Coins', value: 50, item_name: 'Power Boost' }); gtag('event', 'level_up', { level: 5, character: 'Warrior' }); gtag('event', 'post_score', { score: 15000, level: 5, character: 'Warrior' }); gtag('event', 'tutorial_begin'); gtag('event', 'tutorial_complete'); gtag('event', 'unlock_achievement', { achievement_id: 'first_blood' });
Item Parameter Reference
The items array supports these parameters per item:
| Parameter | Type | Description |
|---|---|---|
item_id | STRING | SKU/ID (recommended) |
item_name | STRING | Display name (recommended) |
affiliation | STRING | Store or affiliation |
coupon | STRING | Item-level coupon |
discount | NUMBER | Discount amount |
index | NUMBER | Position in list |
item_brand | STRING | Brand name |
item_category | STRING | Primary category |
item_category2-5 | STRING | Category levels 2-5 |
item_list_id | STRING | List ID |
item_list_name | STRING | List name |
item_variant | STRING | Variant (color, size) |
location_id | STRING | Physical location |
price | NUMBER | Item price |
currency | STRING | ISO 4217 code |
quantity | NUMBER | Quantity |
promotion_id | STRING | Promotion ID |
promotion_name | STRING | Promotion name |
creative_name | STRING | Promotion creative |
creative_slot | STRING | Creative slot |
At least one of item_id or item_name is required. Max 200 items per event.
Custom Events
Use when no automatically collected, enhanced measurement, or recommended event fits.
Naming Rules
- Max 40 characters
- Must start with alphabetic character
- Only
[a-zA-Z][a-zA-Z0-9_]* - Case sensitive —
Add_To_Cartandadd_to_cartare different events - Cannot use reserved prefixes:
firebase_,google_,ga_ - Cannot use reserved event names (e.g.,
first_visit,session_start,app_install,in_app_purchase, etc.)
Limits
| Limit | Value |
|---|---|
| Distinct event names, web streams | No limit |
| Distinct event names, app streams | 500 per app user (auto-collected and enhanced measurement events excluded) |
| Parameters per event | 25 |
| Parameter name length | 40 characters |
| Parameter value (string) | 100 characters |
| User property name length | 24 characters |
| User property value (string) | 36 characters |
| User properties per project | 25 |
Examples
javascriptgtag('event', 'newsletter_signup', { newsletter_type: 'weekly_digest', signup_location: 'footer' }); gtag('event', 'feature_used', { feature_name: 'export_csv', feature_category: 'data_tools', plan_tier: 'pro' }); gtag('event', 'article_read', { article_id: 'post_12345', article_category: 'technology', read_time_seconds: 245 });
Custom Dimensions and Metrics
Register event parameters or user properties for reporting in Admin > Custom definitions.
Scoping
| Scope | Source | Use Case |
|---|---|---|
| Event-scoped dimension | Event parameter | Page/action attributes |
| User-scoped dimension | User property | Persistent user attributes |
| Custom metric | Event parameter (numeric) | Numeric aggregation |
Quotas
| Resource | Standard | Analytics 360 |
|---|---|---|
| Event-scoped custom dimensions | 50 | 125 |
| User-scoped custom dimensions | 25 | 100 |
| Custom metrics | 50 | 125 |
Processing time: 24-48 hours for standard reports (immediate in Realtime/DebugView).
javascript// Set user properties gtag('set', 'user_properties', { membership_tier: 'gold', signup_date: '2025-01-15' });
GTM dataLayer Implementation
javascript// Custom event window.dataLayer = window.dataLayer || []; window.dataLayer.push({ event: 'newsletter_signup', newsletter_type: 'weekly_digest', signup_location: 'footer' }); // E-commerce — ALWAYS clear ecommerce first window.dataLayer.push({ ecommerce: null }); window.dataLayer.push({ event: 'purchase', ecommerce: { transaction_id: 'T12345', value: 259.98, currency: 'USD', tax: 20.80, shipping: 9.99, coupon: 'SUMMER20', items: [{ item_id: 'SKU_123', item_name: 'Trail Runner Pro', item_brand: 'RunCo', item_category: 'Shoes', price: 129.99, quantity: 1 }] } });
Measurement Protocol (Server-Side)
bashPOST https://www.google-analytics.com/mp/collect?measurement_id=G-XXXXXXXXXX&api_secret=YOUR_API_SECRET { "client_id": "abc123.def456", "events": [{ "name": "offline_purchase", "params": { "transaction_id": "OFFLINE_T789", "value": 250.00, "currency": "USD" } }] }
pythonimport requests, json url = 'https://www.google-analytics.com/mp/collect?measurement_id=G-XXXXXXXXXX&api_secret=YOUR_API_SECRET' payload = { 'client_id': 'abc123.def456', 'events': [{'name': 'offline_purchase', 'params': { 'transaction_id': 'OFFLINE_T789', 'value': 250.00, 'currency': 'USD' }}] } response = requests.post(url, data=json.dumps(payload))
Limitations: No response validation (use debug endpoint); events are joined to online activity via client_id / app_instance_id, so reuse the real _ga client ID; include session_id (within 24 hours of session start) to tie the event to a session; reserved names like first_visit/session_start can't be sent. MP is meant to supplement gtag/GTM/Firebase, not replace them. MP events do show in Realtime within seconds; add debug_mode: 1 and engagement_time_msec to see them in DebugView.
Validation Server
bashPOST https://www.google-analytics.com/debug/mp/collect?measurement_id=G-XXXXXXXXXX&api_secret=YOUR_API_SECRET # Returns validation errors instead of silently accepting
Validation and Debugging
DebugView
Enable debug mode to see events in near real-time in Admin > DebugView:
javascriptgtag('config', 'G-XXXXXXXXXX', { debug_mode: true }); // Or per-event: gtag('event', 'purchase', { debug_mode: true, transaction_id: 'T12345', value: 99.99, currency: 'USD' });
Live validation (enhanced when connected)
If Cogny isn't connected, skip this and note what connecting adds.
- GA4:
tool_run_realtime_report(property_id,metrics: [eventCount],dimensions: [eventName]) right after a test, thentool_run_reportover 7 days withdimensions: [eventName]to see steady-state volume. - Segment (if the site sends through Segment):
get_events_volume(start_time,end_time,group_by: [eventName], orevent_name: "Order Completed"). Events in Segment but missing in GA4 mean the GA4 destination mapping is wrong, not the site code. - Name drift: Segment
list_tracking_plan_rules(tracking_plan_idfromlist_tracking_plans) and PostHoglist_event_definitions(project_id,search). Map each to its GA4 name in one table (SegmentOrder Completed→purchase,Product Added→add_to_cart) and flag actions with no GA4 equivalent. - GrowthBook exposures:
list_experiments(status: running) gives each test's tracking key. GA4 should receiveexperiment_viewedwithexperiment_id= that key andvariation_id; register both as event-scoped custom dimensions, or the GA4 split is invisible.
Name the tool on every count; Segment counts calls, GA4 counts events after its own filters.
BigQuery Validation Queries
Event volume audit:
sqlSELECT event_name, COUNT(*) as event_count, COUNT(DISTINCT user_pseudo_id) as unique_users FROM `project.analytics_123456789.events_*` WHERE _TABLE_SUFFIX = FORMAT_DATE('%Y%m%d', CURRENT_DATE() - 1) GROUP BY event_name ORDER BY event_count DESC
Missing purchase parameters:
sqlSELECT 'missing_transaction_id' as issue, COUNT(*) as count FROM `project.analytics_123456789.events_*` WHERE _TABLE_SUFFIX = FORMAT_DATE('%Y%m%d', CURRENT_DATE() - 1) AND event_name = 'purchase' AND (SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'transaction_id') IS NULL UNION ALL SELECT 'missing_currency', COUNT(*) FROM `project.analytics_123456789.events_*` WHERE _TABLE_SUFFIX = FORMAT_DATE('%Y%m%d', CURRENT_DATE() - 1) AND event_name = 'purchase' AND (SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'currency') IS NULL
Duplicate transactions:
sqlSELECT transaction_id, COUNT(*) as dupes FROM ( SELECT (SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'transaction_id') as transaction_id FROM `project.analytics_123456789.events_*` WHERE _TABLE_SUFFIX BETWEEN FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 7 DAY)) AND FORMAT_DATE('%Y%m%d', CURRENT_DATE() - 1) AND event_name = 'purchase' ) WHERE transaction_id IS NOT NULL GROUP BY transaction_id HAVING COUNT(*) > 1 ORDER BY dupes DESC
Naming convention audit:
sqlSELECT event_name, COUNT(*) as event_count, CASE WHEN LENGTH(event_name) > 40 THEN 'exceeds_40_chars' WHEN REGEXP_CONTAINS(event_name, r'^(firebase_|google_|ga_)') THEN 'reserved_prefix' WHEN NOT REGEXP_CONTAINS(event_name, r'^[a-zA-Z][a-zA-Z0-9_]*$') THEN 'invalid_characters' WHEN event_name != LOWER(event_name) THEN 'mixed_case_warning' ELSE 'valid' END as naming_issue FROM `project.analytics_123456789.events_*` WHERE _TABLE_SUFFIX = FORMAT_DATE('%Y%m%d', CURRENT_DATE() - 1) GROUP BY event_name HAVING naming_issue != 'valid'
Parameter truncation check:
sqlSELECT event_name, ep.key, MAX(LENGTH(ep.value.string_value)) as max_len, COUNTIF(LENGTH(ep.value.string_value) >= 100) as at_limit FROM `project.analytics_123456789.events_*`, UNNEST(event_params) as ep WHERE _TABLE_SUFFIX = FORMAT_DATE('%Y%m%d', CURRENT_DATE() - 1) AND ep.value.string_value IS NOT NULL GROUP BY 1, 2 HAVING max_len >= 100
Common Pitfalls
- Case sensitivity —
Purchase!=purchase. Always usesnake_case. - String truncation at 100 chars — URLs and long values get silently cut.
- Custom dimension quotas — 50 event-scoped, 25 user-scoped (standard). Plan carefully.
- Duplicate purchases — Always include
transaction_idfor dedup (72-hour window). - Missing currency —
valuewithoutcurrencyis ignored in monetization reports. - Stale dataLayer — Always push
{ ecommerce: null }before ecommerce events in GTM. - PII in parameters — No emails, phone numbers, or names. Violates GA4 ToS.
- Dynamic event names — Fragments reporting (and burns the 500-name limit on app streams). Use parameters instead.
Resources
- GA4 Event Reference: https://developers.google.com/analytics/devguides/collection/ga4/reference/events
- Recommended Events: https://support.google.com/analytics/answer/9267735
- Measurement Protocol: https://developers.google.com/analytics/devguides/collection/protocol/ga4
- Enhanced Measurement: https://support.google.com/analytics/answer/9216061
- Event Limits & Quotas: https://support.google.com/analytics/answer/9267744
- Full Cogny Docs: https://cogny.com/docs/ga4-event-implementation


