E-Commerce Metrics

The most important E-Commerce and Online Retail metrics and KPIs. Your roadmap to more revenue, better profit, and smarter business growth.

Abandoned Checkout Rate

Abandoned Checkout Rate measures the share of checkout sessions that begin but do not end in a completed order. It focuses on the checkout funnel only, not the cart. You use it to understand friction after a shopper clicks “Checkout,” including issues with shipping choices, payment, taxes, and form friction. A high rate points to lost revenue and poor user experience during the last steps before purchase.

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Abandoned Checkouts

Abandoned Checkouts is an e-commerce metric that measures the value of all the abandoned orders (i.e., sum of the prices of all the items in those orders) before shipping and taxes. Abandoned Checkouts is an important metric for online businesses as it shows the value of customer orders that were not completed due to a variety of reasons. It helps reveal any potential issues in your checkout process, such as customer difficulty in filling out forms or selecting payment options, that are preventing customers from actually completing their purchases.

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Active Users

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.

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Add-to-Cart Rate

Add-to-Cart Rate measures the share of sessions in which at least one product is added to a shopping cart. It shows how effectively your product pages and browse experiences move visitors toward purchase intent. Track it to spot friction on product detail pages, evaluate merchandising and offers, and compare buyer intent across channels, devices, and audiences.

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Average Order Value

Average Order Value (AOV) indicates the average amount of money spent on an order, either over a set period or over the lifetime of an e-commerce store. This is calculated by taking the total revenue and dividing it by the number of orders placed within the determined period.

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Average Purchase Revenue

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.

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Average Revenue Per Paying User

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.

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Cart Abandonment Rate

Cart Abandonment Rate is the percentage of shopping sessions in which a visitor adds at least one item to a cart but leaves without completing a purchase. It quantifies mid?funnel friction and helps you pinpoint checkout blockers, pricing or shipping concerns, and gaps in product detail clarity. Track it over time and by segment to understand where intent stalls and which fixes move the needle.

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Conversions

Conversions represent the total number of meaningful actions (conversion events) that users take on your website or application during a specific time period. These are meaningful interactions that align with your business objectives—such as purchases, sign-ups, or requests for consultation—and indicate that a visitor has moved from passive browsing to active engagement with your brand. Think of conversions as the digital equivalent of a customer walking into your physical store and taking a desired action—whether that's making a purchase, signing up for information, or requesting a consultation.

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Customer Acquisition Cost

Customer Acquisition Cost (CAC) is the cost a business incurs to acquire a new customer. This includes the fully loaded costs associated with sales and marketing to attract a potential customer and to convince them to purchase, divided across all new customers.

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Customer Lifetime Value

Customer Lifetime Value (LTV) represents the total net revenue a business can reasonably expect to generate from a single customer account throughout the entire duration of their relationship. This metric goes beyond simple transaction analysis by incorporating customer retention patterns, purchasing frequency, and profit margins to provide a comprehensive view of customer economic value. LTV serves as a cornerstone metric for strategic decision-making, enabling businesses to optimise acquisition spending, prioritise retention efforts, and identify high-value customer segments that drive sustainable growth.

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Customer Retention Rate

Customer Retention Rate calculates the proportion of customers in a particular period that are retained into the next period.

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