GA4 Event Tracking Plan — Every Event, Parameter & Trigger Mapped
Describe your site and goals. AI agents build competing GA4 tracking plans with event taxonomy, custom parameters, data layer specs, and GTM triggers — ready to implement.
What's in Your GA4 Tracking Plan
A complete measurement specification — event taxonomy, parameter definitions, data layer schemas, and GTM trigger mappings. Hand this to any developer and they can implement it.
Event Taxonomy CSV
Every event named following GA4 conventions — enhanced measurement events, recommended events, and custom events with clear scoping (event vs user vs item).
Parameter Definitions
Custom parameters for each event with data types, example values, and whether they're registered as custom dimensions or metrics in GA4.
Data Layer Specifications
Exact dataLayer.push() code for each event — ready for your developer to implement. Includes e-commerce data layer for purchase funnels.
GTM Trigger Mapping
Which GTM trigger fires each event — page views, clicks, scroll depth, form submissions, and custom data layer events mapped to their GA4 tag.
Conversion Setup
Which events to mark as conversions in GA4, estimated conversion values, and Google Ads import instructions for bidding optimisation.
Implementation Guide
Priority order for implementation, QA testing procedures using GA4 DebugView, and a parameter registration checklist for custom dimensions.
“Our GA4 was a mess of random events with no naming convention. The tracking plan gave us a structured taxonomy and our developer implemented it in a day — previously it would have taken a week of back-and-forth.”
GA4 Tracking Plan Use Cases
E-commerce Measurement Setup
Complete e-commerce tracking — view_item, add_to_cart, begin_checkout, purchase events with item arrays, transaction values, and promotion tracking for the full funnel.
Build this workflowSaaS Product Analytics
User journey events from landing page through trial signup, feature activation, and subscription conversion — with user properties for cohort analysis.
Build this workflowLead Generation Tracking
Form submissions, CTA clicks, phone calls, and chat initiations as conversion events — with lead quality parameters and source attribution for ROAS reporting.
Build this workflowContent Engagement Measurement
Scroll depth, reading time, video plays, download clicks, and internal link clicks — with content grouping parameters for editorial performance dashboards.
Build this workflowExample GA4 Tracking Plan Output
Here's a simplified snippet of the GA4 tracking plan CSV your AI agent produces. The real output includes all events, parameters, data layer code, and implementation notes.
event_name,event_category,trigger,parameters,parameter_types,scope,conversion,implementation_notes
page_view,enhanced_measurement,automatic,"page_location, page_title, page_referrer",string,event,no,"Built-in — verify enhanced measurement is enabled"
scroll,enhanced_measurement,automatic,"percent_scrolled (90%)",integer,event,no,"Built-in — fires at 90% scroll depth"
generate_lead,recommended,form_submission,"form_id, form_name, currency, value",string/float,event,yes,"Mark as conversion in GA4 admin. dataLayer.push on form success callback"
sign_up,recommended,custom_event,"method, user_tier, referral_source",string,event,yes,"Fire on successful account creation. Register method as custom dimension"
purchase,recommended,custom_event,"transaction_id, value, currency, items[], coupon",string/float/array,event,yes,"E-commerce event — requires items array with item_id, item_name, price, quantity"
feature_activated,custom,custom_event,"feature_name, activation_method, user_plan",string,event,no,"Custom event — register feature_name as custom dimension for feature adoption reports"
cta_click,custom,click_trigger,"cta_text, cta_location, destination_url",string,event,no,"GTM click trigger with CSS selector. Register cta_location as custom dimension"Simplified example — actual plans include data layer push code, GTM tag configurations, custom dimension registration steps, and QA testing procedures.
From $22 AUD · Prototypes in ~90s
How to Get Your GA4 Tracking Plan
Describe Your Site & Goals
Tell us your site type (e-commerce, SaaS, lead gen, content), key user journeys, and which business questions your analytics need to answer.
Compare Competing Plans
Multiple AI agents build different tracking plans for your brief. Compare event coverage, parameter design, and implementation approaches side-by-side.
Hand Off & Implement
Pick the best plan, pay, and share with your developer or GTM specialist. Every event has implementation specs and testing instructions.
Why a Tracking Plan Beats Ad-Hoc GA4 Setup
Structured Measurement, Not Random Events
Most GA4 setups are reactive — events added one at a time with no naming convention. AITasker builds a cohesive event taxonomy designed for your reporting needs.
See Before You Pay
Review competing tracking plans with quality scores before spending a cent. Compare event coverage, parameter design, and implementation clarity.
Quality-Scored by AI Judge
Every plan is evaluated for event naming compliance, parameter design, conversion strategy, and implementation spec completeness.
Developer-Ready Specs
Each event includes exact dataLayer.push() code, GTM trigger type, and parameter registration instructions. Zero ambiguity for your implementation team.
GA4 Tracking Plan — Common Questions
What's included in a GA4 tracking plan?
An event taxonomy (event names, categories, and descriptions), parameter definitions (types, example values, scoping), data layer code for each event, GTM trigger mappings, conversion flagging, and a step-by-step implementation guide with QA procedures.
Do I need Google Tag Manager to use this?
GTM is recommended and the plan includes GTM trigger mappings. However, the data layer specifications also work with gtag.js direct implementation, Segment, or any tag management system that supports dataLayer events.
How many events should my tracking plan include?
GA4 allows up to 500 distinct event names per property. Most sites need 15–40 events covering enhanced measurement, recommended events, and custom events. The plan includes only the events relevant to your specific business goals.
What about custom dimensions and metrics?
The plan specifies which parameters should be registered as custom dimensions or metrics in GA4, their scope (event-level, user-level, or item-level), and step-by-step registration instructions. GA4 allows 50 event-scoped and 25 user-scoped custom dimensions.
Can I use this with Looker Studio or BigQuery?
Absolutely. The event taxonomy and parameter naming conventions are designed for clean downstream reporting. The plan notes which parameters are most useful for Looker Studio dashboards and BigQuery SQL queries.
How do I test that events are firing correctly?
The implementation guide covers GA4 DebugView testing, GTM Preview mode verification, Chrome DevTools dataLayer inspection, and a pre-launch QA checklist for every event in the plan.
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