Expert analysis · reviewed 6 Oct 2026

Average order value: raising it without lowering margin per customer.

SUPPORTED DECISIONManage actions on average order value by margin per customer per period, checking that the rise comes neither from consolidated orders nor from an incentive that costs more than it brings in.

Key distinctions

Three conditions before calculating.

01

Order value is a ratio, not a result

Revenue = customers × orders per customer × average order value. An order value that rises while frequency falls can leave revenue unchanged.

02

A threshold shifts purchases as much as it creates them

Free delivery or a discount from a given amount encourages customers to group purchases that would have happened separately. The basket grows and the number of orders falls.

03

Margin per order matters more than the amount

A higher order value obtained through discounts, low-margin products or free delivery can yield less margin than a smaller order.

Method

Reading and managing average order value in four steps

  1. 01Break down revenue

    Track number of customers, orders per customer and average order value together, by cohort, to see which lever is really moving.

  2. 02Calculate margin per order

    Deduct discounts, free delivery, returns and the cost of goods from the order, rather than stopping at the selling price.

  3. 03Check for consolidated purchases

    Compare purchase frequency before and after an action on order value, over a period long enough to cover the purchase cycle.

  4. 04Test against a control group

    Measure the action on an exposed group and a control group, then compare margin per customer per period rather than order value.

ORIGINAL ASSET

An order value that rises, a margin per customer that falls

The same customer before and after free delivery from €60. Each indicator is read next to the others, not in isolation.

IndicatorBefore the offerAfter the offerChange
Orders per customer per year54−20%
Average order value€50€62+24%
Revenue per customer€250€248−1%
Margin per order€20€18.80−6%
Margin per customer per year€100€75.20−25%
Average order value rises by 24% while margin per customer falls by 25%.

Average order value can only be read together with purchase frequency and margin per order.

ILLUSTRATIVE EXAMPLE · SIMULATED DATA

Order value up 24% and margin per customer down a quarter

01 · SITUATION

Illustrative example: before free delivery from €60, a customer places 5 orders a year with an average order value of €50 and a margin of 40%. After the offer, they place 4 orders of €62, and free delivery costs €6 per order.

02 · CALCULATION

Before = 5 × €50 × 40% = €100 of margin a year. After = 4 × (€62 × 40% − €6) = €75.20 of margin a year. Revenue per customer = €250 before and €248 after.

03 · DECISION

Average order value rises by 24%, but the customer has only consolidated their purchases: their revenue does not move and their annual margin falls by a quarter. The right indicator was margin per customer per year.

Acceptance conditions

What must be true to act.

  1. 01

    Never present a rise in average order value without the change in purchase frequency over the same period.

  2. 02

    Assess every action on order value by margin per customer per period.

  3. 03

    Include in the cost of a threshold the free delivery given to orders that would have reached it without an incentive.

  4. 04

    Set a free-delivery threshold from the distribution of orders, not from their average.

Limits

What this analysis does not prove.

  • The average of orders is sensitive to exceptional orders; the median usefully complements the reading.
  • Consolidated purchases can reduce logistics costs and offset part of the margin loss.
  • A threshold's effects on acquiring new customers do not show in the order value of existing customers.
  • An observation period that is too short confuses consolidated purchases with a lasting rise in spending.

References

Works cited.

  1. Lewis, Singh & Fay (2006), An Empirical Study of the Impact of Nonlinear Shipping and Handling Fees on Purchase Incidence and Expenditure Decisions (opens in a new tab)
  2. Lewis (2006), The Effect of Shipping Fees on Customer Acquisition, Customer Retention, and Purchase Quantities (opens in a new tab)
  3. Bell & Lattin (1998), Shopping Behavior and Consumer Preference for Store Price Format: Why “Large Basket” Shoppers Prefer EDLP (opens in a new tab)