Overview

Average Order Value (AOV) is a metric used by ecommerce businesses to measure the average dollar amount spent by customers per purchase order.

What is Average Order Value (AOV)?

Average Order Value (AOV) is an ecommerce metric that helps business owners, analysts, and marketers assess the value of each customer’s order. AOV is calculated by dividing the total revenue by total orders received within a given period of time. This metric gives insight into the average dollar amount per order, helping to identify the types of customers and products driving the highest average spending. It also reveals overall consumer spending trends and offers valuable insights into promotional strategies.

Formula

Average Order Value (AOV) = Total Revenue / Total Number of Orders

Example

If a company receives $100,000 in sales from 1000 orders, the Average Order Value (AOV) is $100.

Why is AOV important?

Average Order Value (AOV) is an important metric for ecommerce businesses as it reveals insights that can help strengthen marketing strategies for long-term success and increased revenue. AOV reveals the overall spending habits of a customer base, which businesses may use to create more effective marketing efforts.

Which factors impact AOV?

The factors that impact Average Order Value (AOV) include order frequency, prices of goods, product list, customer demographic, and discounts or promotions offered.

How can AOV be improved?

Ecommerce businesses can improve their Average Order Value (AOV) in various ways. This includes offering discounts on larger orders, increasing product prices, expanding the product catalog, suggesting related or complimentary products, and participating in referral or loyalty programs

What is AOV’s relationship with other metrics?

Average Order Value (AOV) is an important way to measure the performance of ecommerce businesses and can also be seen as correlated with other important ecommerce metrics, such as Customer Lifetime Value (CLV).

Free essential resources for success

Discover more from Lifesight

  • Best Practices for Designing Best-in-class Experiments in Advertising

    Published on: February 19, 2025

    Best Practices for Designing Best-in-class Experiments in Advertising

    Optimize your marketing investments with rigorous experimentation, ensuring data-driven decisions that drive real business impact.

  • The Showdown Marketing Attribution vs Incrementality Insights

    Published on: February 18, 2025

    The Showdown: Click-based attribution vs Causal-based measurement

    Move beyond outdated attribution models - embrace causal measurement to uncover true marketing impact and drive real business growth.

  • Agent led growth future with AI agents - Lifesight

    Published on: January 31, 2025

    Meet the new paradigm for GTM strategies: Agent-Led Growth

    Agent Led Growth is a model where autonomous AI agents are the primary drivers of any company's growth and operational initiatives.

Subscribe to our newsletter

Please enable JavaScript in your browser to complete this form.