Google Analytics 4 Metrics

Active Users in GA4 represents the number of distinct users who engaged with your website or app during a specified time period. A user is considered "active" when they trigger an engagement session, which occurs when they stay on your site for 10 seconds or longer, have a conversion event, or have 2 or more page or screen views. This metric provides a foundational understanding of your audience size and engagement levels, replacing the traditional "Users" metric from Universal Analytics with a more engagement-focused approach. Unlike simple visitor counts, Active Users emphasises meaningful interaction with your content, filtering out users who immediately bounce or show no genuine interest in your site. This makes it a more reliable indicator of your actual engaged audience size.

Ad Revenue is a digital marketing metric that measures the total amount of money generated from ads displayed on your website or in your app. This includes revenue from third-party sources as well as Google AdMob.

Ad unit exposure measures the total amount of time your ad was exposed to your target audience, usually measured in milliseconds.

Average Engagement Time is a user-centric metric in Google Analytics 4 that measures the average amount of time individual users spend actively engaged with your website or app. Unlike traditional session-based metrics, this focuses on user behaviour across all their interactions, providing a more holistic view of how deeply users connect with your content. The metric only counts time when users are genuinely engaged, defined as sessions lasting 10 seconds or longer, containing conversion events, or having multiple page/screen views. This metric represents a significant shift from Universal Analytics' session-duration approach, offering a more accurate picture of meaningful user interaction by filtering out brief, low-quality visits that don't represent genuine engagement.

Average purchase revenue is a key business metric that quantifies the average value of each sales transaction over a specific period. It is a fundamental indicator of how much customers are spending per order. This metric is calculated by dividing the total revenue from all purchases by the total number of transactions. It offers valuable insights for business leaders, helping them assess customer spending behaviour, evaluate pricing and promotional strategies, and understand the overall financial health of their e-commerce operations. By tracking this metric, businesses can make data-driven decisions to optimize their revenue per customer.

Average Revenue Per Paying User (ARPPU) is a key performance indicator (KPI) that measures the average revenue generated from each user who has made at least one purchase within a specific time period. Unlike Average Revenue Per User (ARPU), which includes all users (both paying and non-paying), ARPPU focuses specifically on the paying customer base. This metric provides a crucial insight into the value of a business's paying customers and their spending behaviour. It is especially useful for subscription-based models, e-commerce, mobile apps, and other businesses where a distinction exists between free users and those who generate revenue. By tracking ARPPU, a company can better understand its monetization efficiency and the effectiveness of its pricing strategies.

Average Revenue Per User (ARPU) is a company's generated revenue that is averaged across all users and reported as a monthly or yearly value. ARPU is a top-level metric, that can easily be normalized and is often cited as a comparative measure between similar companies.

DAU/MAU Ratio (Daily Active Users to Monthly Active Users ratio) measures how active monthly users are on a daily basis. In other words, this engagement metric measures the number of days in each month that users performed an activity that qualifies them as active users. A higher DAU/MAU Ratio generally indicates high stickiness, meaning users consistently return to the app.

The number of sessions where the user was meaningfully active. A session counts as engaged if it lasted longer than 10 seconds, included a conversion event, or had at least 2 page or screen views. This metric represents GA4's approach to measuring quality engagement rather than simply counting all sessions regardless of user behaviour. By filtering out sessions that show minimal interaction, Engaged Sessions provides a clearer picture of sessions where users demonstrated genuine interest in your content or offerings, making it a more reliable indicator of successful user experiences than total session counts.

This metric is the average count of engaged sessions per active user. It's calculated by taking the total number of engaged sessions and dividing it by the total number of active users for a given period. Engaged Sessions Per User reveals the depth of user engagement with your website or app by measuring how many quality sessions each active user generates on average. A higher ratio indicates that users are returning for multiple engaged visits, suggesting strong content value, user experience, or brand loyalty. This metric helps distinguish between sites that attract many one-time visitors versus those that build lasting relationships with their audience.

Engagement Rate is a key metric used in web and app analytics to measure user interaction and the quality of user sessions. It is a modern alternative to the traditional Bounce Rate metric, particularly in Google Analytics 4 (GA4). Engagement Rate is calculated as the percentage of engaged sessions out of the total number of sessions. An "engaged session" is defined as a session that lasts longer than 10 seconds, has a conversion event, or has two or more page views or screen views. This metric provides a more nuanced view of user behaviour than Bounce Rate, helping businesses to understand how effectively their content or platform holds a user's attention and drives meaningful interaction.

Page views are the total count of times a page loads or reloads in a user's browser, including repeat visits by the same user.