The numeric identifier of an Audience. Users are reported in the audiences to which they belonged during the report's date range. Current user behaviour does not affect historical audience membership in reports.

The given name of an Audience. Users are reported in the audiences to which they belonged during the report's date range. Current user behavior does not affect historical audience membership in reports.

New users have 0 previous sessions, and returning users have 1 or more previous sessions. This dimension returns two values: 'new' or 'returning'.

The string 'yes' if the user signed in with the User-ID feature. To learn more about User-ID, see User-ID for cross-platform analysis.

The number of distinct active users on your site or app within a 1 day period. The 1 day period includes the last day in the report's date range. Note: this is the same as Active Users.

The number of distinct active users on your site or app within a 28 day period. The 28 day period includes the last day in the report's date range.

The number of distinct active users on your site or app within a 7 day period. The 7 day period includes the last day in the report's date range.

The number of distinct users who visited your site or app.

The rolling percent of 30-day active users who are also 1-day active users. This metric is returned as a fraction; for example, 0.113 means 11.3% of 30-day active users were also 1-day active users.

The rolling percent of 7-day active users who are also 1-day active users. This metric is returned as a fraction; for example, 0.082 means 8.2% of 7-day active users were also 1-day active users.

The percentage of active users who made their first purchase. This metric is returned as a fraction; for example, 0.092 means 9.2% of active users were first time purchasers.

The number of users that completed their first purchase event.

The average number of first time purchasers per new user.

The number of users who interacted with your site or launched your app for the first time (event triggered: first_open or first_visit).

The number of users that logged purchase events for the time period selected.

The number of distinct users who have logged at least one event, regardless of whether the site or app was in use when that event was logged.

The total amount of time (in seconds) your website or app was in the foreground of users' devices.

The rolling percent of 30-day active users who are also 7-day active users. This metric is returned as a fraction; for example, 0.234 means 23.4% of 30-day active users were also 7-day active users.

The name or code of the affiliate (partner/vendor; if any) associated with an individual item. Populated by the 'affiliation' item parameter.

Brand name of the item.

The hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Apparel is the item category.

The hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Mens is the item category 2.

The hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Mens is the item category 3.

The hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Mens is the item category 4.

The hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Mens is the item category 5.

The ID of the item.

The ID of the item list.

The name of the item list.

The name of the item.

The name of the item-promotion creative.

The ID of the item promotion.

The name of the promotion for the item.

The specific variation of a product. e.g., XS, S, M, L for size; or Red, Blue, Green, Black for color. Populated by the 'item_variant' parameter.

Code for the order-level coupon.

The shipping tier (e.g. Ground, Air, Next-day) selected for delivery of the purchased item. Populated by the 'shipping_tier' event parameter.

The ID of the ecommerce transaction.

The number of times users added items to their shopping carts.

The number of times users started the checkout process.

The number of times users completed a purchase. This metric counts 'purchase' events; this metric does not count 'in_app_purchase' and subscription events.

The number of times users clicked an item when it appeared in a list.

The number of users who selected a list(s) divided by the number of users who viewed the same list(s). This metric is returned as a fraction; for example, 0.2145 means 21.45% of users who viewed a list also selected the same list.

The number of times the item list was viewed.

The number of times an item promotion was clicked.

The number of users who selected a promotion(s) divided by the number of users who viewed the same promotion(s). This metric is returned as a fraction; for example, 0.1382 means 13.82% of users who viewed a promotion also selected the promotion.

The number of times an item promotion was viewed.

The number of units for a single item included in purchase events.

The total revenue from items only. Item revenue is the product of its price and quantity. Item revenue excludes tax and shipping values; tax & shipping values are specified at the event and not item level.

The number of times the item details were viewed.

The sum of revenue from purchases made in your app or site. Purchase revenue sums the revenue for these events: 'purchase', 'ecommerce_purchase', 'in_app_purchase', 'app_store_subscription_convert', and 'app_store_subscription_renew'. Purchase revenue is specified by the 'value' parameter in tagging.

Shipping amount associated with a transaction. Populated by the 'shipping' event parameter.

Tax amount associated with a transaction. Populated by the 'tax' event parameter.

The count of transaction events with purchase revenue. Transaction events are in_app_purchase, ecommerce_purchase, purchase, app_store_subscription_renew, app_store_subscription_convert, and refund.

The average numer of transactions per purchaser.

Describes the way ads looked and where they were located. Typical formats include 'Interstitial', 'Banner', 'Rewarded', and 'Native advanced'.

The source network that served the ad. Typical sources include 'AdMob Network', 'Liftoff', 'Facebook Audience Network', and 'Mediated house ads'.

The name you chose to describe this Ad unit. Ad units are containers you place in your apps to show ads to users.

The time that an ad unit was exposed to a user, in milliseconds.

The average purchase revenue in the transaction group of events.

Average revenue per paying user (ARPPU) is the total purchase revenue per active user that logged a purchase event. The summary metric is for the time period selected.

The average purchase revenue per active user is the total purchase revenue per active user that logged any event. The summary metric is for the time period selected.

Average revenue per active user (ARPU). The summary metric is for the time period selected. ARPU uses Total Revenue and includes AdMob estimated earnings.

The sum of revenue from purchases, subscriptions, and advertising (Purchase revenue plus Subscription revenue plus Ad revenue).

The average duration (in seconds) of users' sessions.

The percentage of sessions that were not engaged ((Sessions Minus Engaged sessions) divided by Sessions). This metric is returned as a fraction; for example, 0.2761 means 27.61% of sessions were bounces.

The number of sessions that lasted longer than 10 seconds, or had a conversion event, or had 2 or more screen views.

The percentage of engaged sessions (Engaged sessions divided by Sessions). This metric is returned as a fraction; for example, 0.7239 means 72.39% of sessions were engaged sessions.

The number of sessions that began on your site or app (event triggered: session_start).

The average number of sessions per user (Sessions divided by Active Users).

The achieventment ID in a game for an event. Populated by the event parameter 'achievement_id'.

The player character in a game for an event. Populated by the event parameter 'character'.

The extension of the downloaded file (for example, 'pdf' or 'txt'). Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'file_extension'.

The page path of the downloaded file (for example, '/menus/dinner-menu.pdf'). Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'file_name'.

The player group ID in a game for an event. Populated by the event parameter 'group_id'.

The player's level in a game. Populated by the event parameter 'level'.

The HTML class attribute for an outbound link. For example if a user clicks a link '<a class="center" href="www.youtube.com">', this dimension will return 'center'. Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'link_classes'.

The destination domain of the outbound link. For example if a user clicks a link '<a href="www.youtube.com">', this dimension will return 'youtube.com'. Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'link_domain'.

The HTML id attribute for an outbound link or file download. For example if a user clicks a link '<a id="socialLinks" href="www.youtube.com">', this dimension will return 'socialLinks'. Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'link_id'.

The link text of the file download. Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'link_text'.

The full url for an outbound link or file download. For example if a user clicks a link '<a href="https://www.youtube.com/results?search_query=analytics">', this dimension will return 'https://www.youtube.com/results?search_query=analytics'. Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'link_url'.

The method by which an event was triggered. Populated by the event parameter 'method'.

Returns 'true' if the link lead to a site is not a part of the property’s domain. Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'outbound'.

The percentage down the page that the user has scrolled (for example, '90'). Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'percent_scrolled'.

The term searched by the user. For example if the user visits '/some-page.html?q=some-term', this dimension returns 'some-term'. Automatically populated if Enhanced Measurement is enabled. Populated by the event parameter 'search_term'.

The name of data filters in testing state. You use data filters to include or exclude event data from your reports based on event-parameter values. To learn more, see Data filters.

The source of the video (for example, 'youtube'). Automatically populated for embedded videos if Enhanced Measurement is enabled. Populated by the event parameter 'video_provider'.

The title of the video. Automatically populated for embedded videos if Enhanced Measurement is enabled. Populated by the event parameter 'video_title'.

The url of the video. Automatically populated for embedded videos if Enhanced Measurement is enabled. Populated by the event parameter 'video_url'.

The name of a virtual currency with which the user is interacting. i.e. spending or purchasing gems in a game. Populated by the 'virtual_currency_name' event parameter.

Returns 'true' if the content is visible. Automatically populated for embedded videos if Enhanced Measurement is enabled. Populated by the event parameter 'visible'.

The number of users who added a product(s) to their cart divided by the number of users who viewed the same product(s). This metric is returned as a fraction; for example, 0.1132 means 11.32% of users who viewed a product also added the same product to their cart.

The number of users that logged a crash in this row of the report. For example if the report is time series by date, this metrics reports total users with at least one crash on this date. Crashes are events with the name "app_exception".

The number of users without crash events (in this row of the report) divided by the total number of users. This metric is returned as a fraction; for example, 0.9243 means 92.43% of users were crash-free.

The average ranking of your website URLs for the query reported from Search Console. For example, if your site's URL appears at position 3 for one query and position 7 for another query, the average position would be 5 (3+7/2). This metric requires an active Search Console link.

The number of organic Google Search clicks reported from Search Console. This metric requires an active Search Console link.

The organic Google Search click through rate reported from Search Console. Click through rate is clicks per impression. This metric is returned as a fraction; for example, 0.0588 means about 5.88% of impressions resulted in a click. This metric requires an active Search Console link.

The number of organic Google Search impressions reported from Search Console. This metric requires an active Search Console link.

The number of ad_click events.

The number of ad_impression events.

The percentage of active users who made 1 or more purchase transactions. This metric is returned as a fraction; for example, 0.412 means 41.2% of users were purchasers.

The number of users who purchased a product(s) divided by the number of users who viewed the same product(s). This metric is returned as a fraction; for example, 0.128 means 12.8% of users that viewed a product(s) also purchased the same product(s).

The total advertising revenue from both Admob and third-party sources.

The cohort's name in the request. A cohort is a set of users who started using your website or app in any consecutive group of days. If a cohort name is not specified in the request, cohorts are named by their zero based index: cohort_0, cohort_1, etc.

Day offset relative to the firstSessionDate for the users in the cohort. For example, if a cohort is selected with the start and end date of 2020-03-01, then for the date 2020-03-02, cohortNthDay will be 0001.

Month offset relative to the firstSessionDate for the users in the cohort. Month boundaries align with calendar month boundaries. For example, if a cohort is selected with the start and end date in March 2020, then for any date in April 2020, cohortNthMonth will be 0001.

Week offset relative to the firstSessionDate for the users in the cohort. Weeks start on Sunday and end on Saturday. For example, if a cohort is selected with the start and end date in the range 2020-11-08 to 2020-11-14, then for the dates in the range 2020-11-15 to 2020-11-21, cohortNthWeek will be 0001.

The number of users in the cohort who are active in the time window corresponding to the cohort nth day/week/month. For example for the row where cohortNthWeek = 0001, this metric is the number of users (in the cohort) who are active in week 1.

The total number of users in the cohort. This metric is the same value in every row of the report for each cohort. Because cohorts are defined by a shared acquisition date, cohortTotalUsers is the same as cohortActiveUsers for the cohort's selection date range. For report rows later than the ochort's selection range, it is typical for cohortActiveUsers to be smaller than cohortTotalUsers. This difference represents users from the cohort that were not active for the later date. cohortTotalUsers is commonly used in the metric expression cohortActiveUsers/cohortTotalUsers to compute a user retention fraction for the cohort. The relationship between activeUsers and totalUsers is not equivalent to the relationship between cohortActiveUsers and cohortTotalUsers.

The name of the event.

The string 'true' if the event is a conversion. Events are marked as conversions at collection time; changes to an event's conversion marking apply going forward. You can mark any event as a conversion in Google Analytics, and some events (i.e. first_open, purchase) are marked as conversions by default. To learn more, see Set up and manage conversion events.

The count of conversion events. Events are marked as conversions at collection time; changes to an event's conversion marking apply going forward. You can mark any event as a conversion in Google Analytics, and some events (i.e. first_open, purchase) are marked as conversions by default. To learn more, see Set up and manage conversion events.

The count of events.

The average number of events per user (Event count divided by Active users).

The average number of events per session (Event count divided by Sessions).

The sum of the event parameter named 'value'.

A category that applies to items of published content. Populated by the event parameter 'content_group'.

The identifier of the selected content. Populated by the event parameter 'content_id'.

The category of the selected content. Populated by the event parameter 'content_type'.

The hostname, page path, and query string for web pages visited; for example, the fullPageUrl portion of https://www.example.com/store/contact-us?query_string=true is www.example.com/store/contact-us?query_string=true.

Includes the subdomain and domain names of a URL; for example, the Host Name of www.example.com/contact.html is www.example.com.

The page path + query string associated with the first pageview in a session.

The protocol, hostname, page path, and query string for web pages visited; for example, the pageLocation portion of https://www.example.com/store/contact-us?query_string=true is https://www.example.com/store/contact-us?query_string=true. Populated by the event parameter 'page_location'.

The portion of the URL between the hostname and query string for web pages visited; for example, the pagePath portion of https://www.example.com/store/contact-us?query_string=true is /store/contact-us.

The portion of the URL following the hostname for web pages visited; for example, the pagePathPlusQueryString portion of https://www.example.com/store/contact-us?query_string=true is /store/contact-us?query_string=true.

The full referring URL including the hostname and path. This referring URL is the user's previous URL and can be this website's domain or other domains. Populated by the event parameter 'page_referrer'.

The web page titles used on your site.

The page path (web) or screen class (app) on which the event was logged.

The page path and query string (web) or screen class (app) on which the event was logged.

The page title (web) or screen class (app) on which the event was logged.

The page title (web) or screen name (app) on which the event was logged.

The number of app screens or web pages your users viewed. Repeated views of a single page or screen are counted. (screen_view + page_view events).

The number of app screens or web pages your users viewed per session. Repeated views of a single page or screen are counted. (screen_view + page_view events) / sessions.

The average of an event scoped custom metric for your Analytics property.

The average of an event scoped custom metric for your Analytics property.

The number of occurrences of an event scoped custom metric for your Analytics property.

The number of occurrences of an event scoped custom metric for your Analytics property.