Platform
Contextual Information
Under Construction 🚧 These docs are a work in progress.
The following fields real-time attributes can be used in various parts of the platform. These fields cover a wide range of data sources, including page information, marketing tags, customer data, cart details, and geographical attributes.
1. Page Information
- Page: Path (
path
): Use this to match against the path of the current page a visitor is viewing. Example:/collections/all-products
. - Page: Referrer Path (
referrer_path
): Refers to the page that led the visitor to the current page. Example:/collections/all-products
.
2. Marketing Tags (UTM Parameters)
- UTM: Source (
marketing_source
): Tracks the origin of your marketing traffic. Example:newsletter
. - UTM: Medium (
marketing_medium
): Identifies the medium of the marketing effort. Example:email
. - UTM: Campaign (
marketing_campaign
): Matches the campaign identifier for marketing promotions. Example:banner_ad_1
. - UTM: Term (
marketing_term
): Captures any paid keywords associated with your campaigns. Example:running+shoes
. - UTM: Content (
marketing_content
): Identifies the content used within a campaign. Example:banner_red
.
3. Cart Details
- Cart: Empty (
cart_empty
): Indicates whether the shopping cart is empty (boolean field). - Cart: Value (
cart_value
): The total value of the items in the cart. Example:800
. - Cart: Number of Items (
num_cart_items
): Number of items in the customer’s cart. Example:4
. - Cart: Discount Value Without Coupon (
cart_discount_value_without_coupon
): The total value of discounts applied without a coupon. - Cart: Discount Value With Coupon (
cart_discount_value_with_coupon
): Total discount value including any coupon codes.
4. Customer Information
- Customer: Signed In (
signed_in
): Indicates whether the customer is signed in (boolean field). - Customer: Number of Orders (
num_orders
): Tracks the total number of orders a customer has placed. Example:4
. - Customer: Average Order Value (
average_order_value
): The average value of the customer’s orders. Example:4
. - Customer: Average Days Between Orders (
days_between_orders
): Average time between the customer’s orders in days. - Customer: Days Since Last Order (
days_since_last_order
): Number of days since the customer made their last purchase. - Customer: Days Since Oldest Order (
days_since_oldest_order
): Number of days since the customer’s first order. - Customer: Total Spent (All Time) (
total_spent
): Total amount spent by the customer. Example:400
. - Customer: Discount Value Without Coupon (Last 20 orders) (
discount_value_without_coupon
): The total discount value (excluding coupons) for the customer’s last 20 orders. - Customer: Discount Value With Coupon (Last 20 orders) (
discount_value_with_coupon
): Total discount value, including coupons, for the last 20 orders.
5. Geographical Data
- Geo: City (
geo_city
): The city in which the visitor is located. Example:Boston
. - Geo: State (
geo_state
): The state in which the visitor is located. Example:MA
. - Geo: Country (
geo_country
): The country in which the visitor is located. Example:US
.
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