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AOV vs LTV: how they work together

2026-05-20 11:48 · Paid Marketing

AOV vs LTV: how they work together

AOV and LTV measure different parts of customer value. Learn how average order value affects lifetime value and acquisition decisions.

AOV and LTV both describe customer value, but they measure different levels of the relationship.

AOV means average order value. It shows the average revenue from one order. LTV means customer lifetime value. It estimates how much revenue or gross profit a customer produces over the full relationship.

AOV is one input that can affect LTV. If customers buy the same number of times but each order becomes larger, lifetime value usually increases. But AOV alone does not show repeat purchase behavior, retention, margin, or acquisition cost.

For ecommerce, AOV is useful when testing bundles, product recommendations, free shipping thresholds, discounts, and paid campaign quality. LTV is more useful when deciding how much you can afford to spend to acquire and retain customers.

A practical workflow is to calculate AOV with the AOV Calculator at /tools/aov-calculator, then use the LTV Calculator at /tools/ltv-calculator to see how order value, purchase frequency, lifespan, and margin work together. CAC, CPA, ROAS, and ROI help connect customer value back to acquisition cost.
AOV LTV Ecommerce Marketing

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Useful tools

Tool

AOV Calculator

Calculate average order value from total revenue and number of orders for ecommerce, ads, and store performance reporting.

Tool

LTV Calculator

Calculate customer lifetime value from average order value, purchase frequency, customer lifespan, margin, and CAC.

Tool

CAC Calculator

Calculate customer acquisition cost from total sales and marketing spend and the number of new customers acquired.

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MER Calculator

Calculate marketing efficiency ratio from total revenue and total marketing spend for blended paid marketing performance.

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ROI Calculator

Calculate ROI percentage and net return from revenue and investment cost.

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ROAS Calculator

Calculate return on ad spend from ad revenue and campaign spend, then see how much revenue each dollar of advertising produced.