Average Order Value
Measure the average amount customers spend per order to guide pricing, promotions, and product mix decisions.
Average Order Value
What is Average Order Value (AOV)?
Average Order Value (AOV) is the average amount a customer spends each time they place an order. Calculated across all transactions in a period, AOV tells you whether your pricing, product mix, and promotions are pulling more or less revenue through every checkout.
Formula
AOV = Total revenue from orders ÷ Number of orders
Decide what "revenue" includes before you calculate. Most teams exclude taxes, shipping, and refunds so the value reflects what customers actually spend on products. If you operate internationally, convert to a single currency first.
Reporting frequency
Daily for trading visibility, then weekly and monthly for trend analysis. Use the same definition across cadences so results stay comparable.
Example KPI target
$250 per order
Example calculation
Imagine your store processed 1,200 orders last month. Product revenue (excluding taxes, shipping, and refunds) was $276,000.
Total revenue: $276,000
Number of orders: 1,200
AOV = 276,000 ÷ 1,200 = $230
Segmenting sharpens the picture. If returning customers placed 400 of those orders and generated $120,000, their AOV would be $300. New-customer AOV for the remaining 800 orders would be $156, which points to an onboarding or offer opportunity worth acting on.
Why Average Order Value matters
AOV is one of the clearest levers a store owner has. You do not need more traffic to grow revenue; you need more value from the traffic you already have.
Revenue leverage: A small AOV lift multiplies across every order. A $10 increase on 50,000 yearly orders adds $500,000 in sales before considering margin.
Unit economics clarity: AOV works with Conversion Rate and traffic to explain revenue: Sessions × Conversion Rate × AOV = Revenue.
Merchandising signal: Bundles, price points, and featured items show up quickly in AOV trend lines, so you know what is working without waiting for a report.
Promotion guardrails: Discounts might raise AOV while eroding margin. Track AOV alongside average selling price and gross margin so you grow profit, not just cart totals.
The number also tells you where to focus. If AOV is rising but margin per order is falling, that is a pricing or mix problem. If AOV is flat while Conversion Rate climbs, you may be attracting lower-intent buyers. Either way, you have a clear next step.
How to calculate Average Order Value correctly
Stay consistent: Use the same revenue definition across every report. Document whether you exclude taxes, shipping, and returns.
Remove noise: Exclude test orders and staff orders. Handle cancelled and returned orders in the same period you recognise revenue.
Unify currency: Convert revenue into a single reporting currency before dividing by order count.
Watch for outliers: Very large bulk orders can spike AOV. Use medians or winsorised averages as a second view when necessary.
Benchmarks and context
Benchmarks vary by category, catalogue depth, price architecture, and region. High-ticket categories (electronics, furniture) typically post higher AOV than fast-moving consumer goods. New stores often start lower as assortments are lean and returning-customer share is small.
Mature stores lift AOV through cross-sell, loyalty programs, and free-shipping thresholds. Compare yourself to close peers, but focus on your own trend line first. A consistent upward trend in your own AOV matters more than matching an industry average that may not reflect your customer mix.
How to raise AOV without hurting margin
The goal is a bigger basket that still makes money. Each tactic below should be tested and paired with margin per order so you scale what creates durable value, not just higher cart totals.
Smart thresholds: Offer free shipping or a gift with purchase above a tested threshold that preserves contribution margin.
Bundles and kits: Package items that solve a complete job. Price the bundle for value while protecting blended margin.
Cross-sell in cart: Recommend add-ons that match the primary item, not generic best-sellers.
Tiered pricing: Use volume breaks for B2B and wholesale segments where larger baskets make sense.
Payment choices: Offer buy-now-pay-later and digital wallets to reduce friction on bigger purchases.
Loyalty and perks: Give members early access, points multipliers, or exclusive bundles that encourage fuller baskets.
Content and comparison: Use comparison charts and visual size guides to raise confidence in higher-value options.
How to monitor Average Order Value in a dashboard
Tracking AOV in Klips means connecting your commerce platform and order system once, then having the number in front of you automatically, without pulling it manually or pasting figures into a spreadsheet each time you need an answer.
Useful views to build:
AOV trend: 7, 30, and 90-day views with a same-period-last-year line.
AOV by channel: Paid search, paid social, organic, email, referral, marketplace.
AOV by device: Desktop vs. mobile vs. tablet.
AOV by customer type: New vs. returning, loyalty tier, geography.
AOV with Conversion Rate: A dual-axis chart that shows trade-offs after promotions or pricing changes.
Connect your commerce data source in Klips, then build a simple formula: SUM(product revenue) ÷ COUNT(orders). Set the refresh rate to match your trading cadence and distribute the dashboard by shared link, TV mode, or scheduled PDF so the team stays aligned without anyone having to ask.
Common pitfalls
Counting sessions instead of orders: Average Order Value uses orders, not visits.
Including shipping and tax: These inflate AOV without reflecting product value or margin.
Mixing cancelled orders: Treat cancellations and refunds consistently to avoid choppy trends.
Ignoring segments: One blended number hides opportunities. Segment by channel, device, and customer status.
Chasing AOV at any cost: Deep discounts can raise AOV while reducing profit. Measure contribution margin per order alongside AOV.
Audience
Store Owner, Online Sales Manager
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Average Order Value, Average basket value, Order value per transaction