Average Order Value Analysis: The Events and Dimensions You Need

Why AOV Is a Core Ecommerce KPI

Average Order Value (AOV) — total revenue divided by number of transactions — is one of the three levers of ecommerce revenue growth (traffic × conversion rate × AOV). Improving AOV from £65 to £75 on the same traffic and conversion rate is a 15% revenue increase without additional marketing spend.

GA4 ecommerce tracking provides the data needed to analyse AOV by every relevant dimension — but only if implemented correctly.

Required for AOV Analysis: Correct Purchase Event Value

AOV in GA4 is calculated as: Purchase Revenue / Transactions. Both metrics come from the purchase event — revenue from the value parameter, transactions from the event count.

For AOV to be meaningful, the value parameter must be consistent:

• Always include or always exclude tax (never mix)
• Always include or always exclude shipping
• Apply discounts before sending value (send the amount the customer paid, not the pre-discount total)

Inconsistency in how value is calculated causes AOV to fluctuate misleadingly.

AOV by Channel

In GA4 Reports then Monetisation then Ecommerce purchases, add "Session default channel group" as a secondary dimension. This shows:

• Does organic search traffic purchase at a higher or lower AOV than paid search?
• Does email traffic (from promotional campaigns) have a lower AOV (because it's discount-driven)?
• Do direct visitors (your loyal customers) have the highest AOV?

This analysis guides budget allocation — channels that drive both volume and high AOV are more valuable than channels with similar volume but lower AOV.

AOV by Product Category

Use the item_category parameter on purchase events to see which product categories drive higher AOV orders. If electronics buyers have a £250 AOV vs fashion buyers at £45, and your electronics category has capacity for more traffic, the case for investing there is stronger.

AOV by Device

Mobile vs desktop AOV comparison is revealing for many stores. Mobile users often have lower AOV — they may add fewer items, or the mobile experience may make it harder to discover add-on items. If mobile AOV is significantly lower than desktop, consider improving mobile cross-sell presentation.

AOV by New vs Returning Users

Do returning customers order more than first-time buyers? In many stores, returning customers have 30-50% higher AOV — they trust the brand and are comfortable adding more items. This supports the case for retention marketing investment.

Custom Dimension: AOV Tier

For audience building, create an event-scoped custom dimension "order_value_tier" on the purchase event:

// In your purchase event builder
const aov_tier = value < 50 ? 'low' : value < 150 ? 'mid' : 'high';
dataLayer.push({
  event: 'purchase',
  ecommerce: { value: value, currency: 'GBP', ... },
  order_value_tier: aov_tier
});

Build GA4 audiences by order_value_tier and target "high" tier customers with premium product campaigns in Google Ads.

Summary

AOV analysis in GA4 requires a correctly and consistently implemented purchase event value, then segments by channel, product category, device, and new vs returning users. The goal is identifying which segments naturally drive high AOV (invest more) and which drive low AOV (improve cross-sell or reconsider investment level).

See our Enhanced Ecommerce Tracking service for AOV analytics setup.

Need AOV analysis implemented? Contact Adslytics.