Ad Spend is the amount of money spent on specific ad variations within a specific campaign or ad set. This metric helps regulate ad performance.

Ad Unique Clicks is a count of the number of people who clicked on your digital advertisement at least once. This is different than Ad Clicks or Total Clicks, because this is a count of the unique people who clicked.

Advertising Costs is a broad expense category, which typically includes online, broadcast, print, outdoor, and direct mail efforts. Advertising can be used at various stages of the customer journey, from brand awareness and brand shaping, to highly targeted campaigns that are meant to engage existing customers.

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

Average Basket Size (ABS) is an ecommerce metric that measures the average number of items purchased per transaction. It is calculated by dividing the total number of units sold by the total number of transactions over a given period. ABS helps businesses understand whether customers are buying more or fewer items each time they place an order. Average Basket Size is also a key input for calculating Average Order Value (AOV) when combined with Average Selling Price (ASP), helping teams distinguish whether revenue changes are driven by quantity, pricing, or both.

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 Selling Price (ASP) measures the average price at which a product or service is sold over a defined period of time. It can be calculated for a single product or service, a group of products, a sales channel, or an entire business. ASP is commonly used to compare performance across businesses, segments, or channels and serves as a strong indicator of what customers are willing to pay for similar products or services.

Average Server Response Time is the average amount of time an application’s web server takes to return the results of a request to the user. It is affected by several factors including network bandwidth, number of users, and number and type of requests submitted.

Average Session Duration measures the average amount of time users spend per session on your website. It is calculated by dividing the total time spent across all sessions by the total number of sessions. This metric helps you understand overall engagement and whether users are consuming your content in a meaningful way.

Average Time on Page is a web analytics metric that measures the average amount of time spent on a single page by all users of a website. This metric does not consider exit pages or bounces, and only measures the average time spent by users on non-exit pages. An exit page is the last page of a website session.