LupyAi

Google Analytics 4 — data fields

Traffic, engagement, key events and revenue from GA4 properties. Every field id you can pass to fields= in the API, Looker Studio, exports and AI chats. Shared ids line up across sources so they blend.

All sources Meta Ads (Facebook & Instagram)Google AdsTikTok AdsLinkedIn AdsGoogle Analytics 4Google Search ConsoleFacebook Pages (organic)Instagram (organic)YouTube AnalyticsShopifyWooCommerceKlaviyo
Field idNameSectionKindTypeDescription
account_id Account ID dimension string
account_name Account name dimension string
active_users Active users Traffic metric integer
add_to_carts Add to carts E-commerce metric integer
average_session_duration Avg. session duration (s) Engagement metric float
bounce_rate Bounce rate Engagement metric percent
browser Browser Technology dimension string
campaign Session campaign Traffic source dimension string
checkouts Checkouts E-commerce metric integer
city City Audience dimension string
conversions Key events Conversions metric float GA4 key events (formerly conversions)
country Country Audience dimension string
datasource Data source dimension string Connector the row came from
date Date Time dimension date
default_channel_group Default channel group Traffic source dimension string
device_category Device category Technology dimension string
ecommerce_purchases E-commerce purchases E-commerce metric integer
engaged_sessions Engaged sessions Engagement metric integer
engagement_rate Engagement rate Engagement metric percent
event_count Event count Events metric integer
event_name Event name Events dimension string
first_user_campaign First user campaign First touch dimension string
first_user_channel_group First user channel group First touch dimension string How users first found you
first_user_medium First user medium First touch dimension string
first_user_source First user source First touch dimension string
hostname Hostname Pages dimension string
item_brand Item brand E-commerce items dimension string
item_category Item category E-commerce items dimension string
item_name Item name E-commerce items dimension string E-commerce: use with item metrics
item_revenue Item revenue E-commerce items metric currency
items_purchased Items purchased E-commerce items metric integer
items_viewed Items viewed E-commerce items metric integer
landing_page Landing page Pages dimension string
language Language Audience dimension string
medium Session medium Traffic source dimension string
new_users New users Traffic metric integer
new_vs_returning New vs returning Audience dimension string
operating_system Operating system Technology dimension string
page_path Page path Pages dimension string
page_title Page title Pages dimension string
page_views Views Engagement metric integer
purchase_revenue Purchase revenue E-commerce metric currency
region Region Audience dimension string
revenue Total revenue Conversions metric currency
sessions Sessions Traffic metric integer
sessions_per_user Sessions per user Traffic metric float
source Session source Traffic source dimension string
source_medium Session source / medium Traffic source dimension string
total_purchasers Purchasers E-commerce metric integer
total_users Total users Traffic metric integer
transactions Transactions Conversions metric integer
user_engagement_duration Engagement time (s) Engagement metric float Total seconds users were engaged
views_per_session Views per session Engagement metric float

Date parts

Available on any source with date. Metrics are re-aggregated to the period.

weekWeek (starting Monday)year_weekYear-week (2026-W42)monthMonth (2026-10)quarterQuarter (2026-Q4)yearYearday_of_weekDay of week (Mon..Sun)

Calculated metrics

Computed after aggregation wherever the inputs exist.

roasrevenue / nullif(spend, 0)cpaspend / nullif(conversions, 0)conversion_rateconversions / nullif(clicks, 0) * 100aovrevenue / nullif(orders, 0)

Filters

Pass JSON in filters=:

[["spend","gt",100],"and",
 ["campaign","contains","brand"]]

Operators: eq, neq, gt, gte, lt, lte, contains, ncontains, null, notnull, in.