Google Analytics 4 Dimensions and Metrics Definition

Google Analytics (GA) provides detailed statistics and reports about your website site’s traffic. You can track things like site visitors, page views, and average time on site. Google Analytics also provides information about which pages were most visited and where your traffic came from (e.g., organic search, social media).

You can set up goals to track conversions and define conversion types. For example, a conversion could be a purchase, a sign-up for a mailing list or an event. You can set up custom alerts to trigger notifications when a goal is reached or a conversion type is created.

Every report in Google Analytics is made up of dimensions and metrics.

Dimension: A dimension in Google Analytics 4 is a description, characteristic, parameter or attribute or of your data. Like Page, Landing Page, City, Device Category, and Source / Medium are all dimensions.

Metric: Metrics are the measurements made against these dimensions. Like sessions, pageviews, and bounce rate are all metrics.

You can use Google Data Studio (GDS) to visualize the same data that is available in Analytics customising reporting by building your own customised Google Data Studio Dashboard (what we can do for you).

The following is a guide to the most important Google Analytics 4 (GA4) terminology divided into 5 groups:

Most Used Metrics and Dimensions

Views

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).

New Users

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

Total Users

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.

Active Users

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

7-day active users

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.

28-day 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.

Sessions

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

Engaged Sessions

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

Engagement Rate

The percentage of engaged sessions (Engaged sessions divided by Sessions).

Bounce Rate

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.

Average Session Length (sec.)

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

Total User Engagement Duration (sec.)

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

User Source

User Medium

The referral medium that first acquired the user

User Ad Network Type Type

The advertising network that first acquired the user. An enumeration which includes 'Google search', 'Search partners', 'Google Display Network', 'Youtube Search', 'Youtube Videos', 'Cross-network', 'Social', and '(universal campaign)'

User Campaign Name

Name of the marketing campaign that first acquired the user. Includes Google Ads and Manual Campaigns

User Campaign ID

Identifier of the marketing campaign that first acquired the user. Includes Google Ads Campaigns

User Campaign Ad Group Name

The ad group name in Google Ads that first acquired the user

User Campaign Ad Group ID

The ad group ID in Google Ads that first acquired the user

User Campaign Creative ID

The campaign creative ID that first acquired the user

Ecommerce

Add-to-Carts

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

Checkouts

The number of times users started the checkout process.

Ecommerce Purchases

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

Item List Clicks

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

Item List Click Through Rate

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.

Item List Views

The number of times the item list was viewed.

Item Promotion Clicks

The number of times an item promotion was clicked.

Item Promotion Click Through Rate

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.

Item Promotion Views

The number of times an item promotion was viewed.

Item Purchase Quantity

The number of times an item promotion was viewed.

Item Revenue

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.

Item Views

The number of times the item details were viewed.

Purchase Revenue

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.

Transactions

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.

Transactions per Purchaser

The average number of transactions per purchaser.

Demographics

Interests

Interests demonstrated by users who are higher in the shopping funnel. Users can be counted in multiple interest categories. For example, 'Shoppers', 'Lifestyles & Hobbies/Pet Lovers', or 'Travel/Travel Buffs/Beachbound Travelers'.

Age

User age brackets.

Gender

User gender.

City

The city from which the user activity originated.

City ID

The geographic ID of the city from which the user activity originated, derived from their IP address.

Country

The country from which the user activity originated.

Region

The geographic region from which the user activity originated, derived from their IP address.

Data and Time

Date

The date of the event, formatted as YYYYMMDD.

Date + hour (YYYYMMDDHH)

The combined values of date and hour formatted as YYYYMMDDHH.

Date hour and minute

The combined values of date, hour, and minute formatted as YYYYMMDDHHMM.

Day

The day of the month, a two-digit number from 01 to 31.

Day of week

The day of the week. It returns values in the range [0,6] with Sunday as the first day of the week.

Hour

The two-digit hour of the day that the event was logged. This dimension ranges from 0-23 and is reported in your property's timezone.

Minute

The two-digit minute of the hour that the event was logged. This dimension ranges from 0-59 and is reported in your property's timezone.

Month

The month of the event, a two digit integer from 01 to 12.

Week

The week of the event, a two-digit number from 01 to 53. Each week starts on Sunday. January 1st is always in week 01. The first and last week of the year have fewer than 7 days in most years. Weeks other than the first and the last week of the year always have 7 days. For years where January 1st is a Sunday, the first week of that year and the last week of the prior year have 7 days.

Year

The four-digit year of the event e.g. 2021.

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