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Reference

Event & User Properties

A reference for documented event and user properties. Actual fields depend on the source, connector version, tracking configuration, consent, and destination mapping.

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Standard Event Properties

Property	Type	Description
`event_name`	string	The name of the event that was triggered.
`event_time`	datetime	Timestamp when the event occurred.
`platform`	string	Source platform (e.g., Shopify, Google Ads, Meta Ads).
`session_id`	string	Unique identifier for the user session.
`distinct_id`	string	Unique identifier for the user.
`page_url`	string	The URL of the page where the event occurred.
`referrer`	string	The referring URL that led the user to the current page.
`utm_source`	string	UTM source parameter from the URL.
`utm_medium`	string	UTM medium parameter from the URL.
`utm_campaign`	string	UTM campaign parameter from the URL.
`device_type`	string	Device category (desktop, mobile, tablet).
`browser`	string	User's browser name and version.
`country`	string	Country field when a configured, permitted source provides it.
`city`	string	City field when a configured, permitted source provides it.

Ecommerce Properties

Property	Type	Description
`product_id`	string	Unique identifier for the product.
`product_name`	string	Name of the product.
`product_price`	number	Price of the product.
`product_quantity`	number	Quantity of the product in the cart or order.
`cart_total`	number	Total value of the cart.
`order_id`	string	Unique identifier for the order.
`order_total`	number	Total value of the order.
`currency`	string	Currency code (e.g., USD, AUD, GBP).
`discount_code`	string	Discount or coupon code applied.
`shipping_method`	string	Selected shipping method.

User Properties

Property	Type	Description
`email`	string	User's email address.
`first_name`	string	User's first name.
`last_name`	string	User's last name.
`created_at`	datetime	Timestamp when the user was first seen.
`total_orders`	number	Total number of orders placed by the user.
`total_spent`	number	Total amount spent by the user.
`last_order_date`	datetime	Date of the user's most recent order.
`first_order_date`	datetime	Date of the user's first order.