Fundusze Europejskie Województwo Łódzkie Unia Europejska
Retention

How to increase average order value without losing money

In short

Set a threshold customers must reach to earn something — free shipping, bonus points, a tier. It raises AOV within a week. It also gives that reward to every customer who would have qualified anyway, and on most order distributions that group is the majority, which is how AOV rises while profit falls.

What average order value actually measures

Average order value is total revenue divided by number of orders, over a chosen window. That is the whole definition, and it is also the whole problem: nothing in it refers to profit. AOV rises if customers buy more, and it rises just as reliably if you give away something to make them buy more. The metric cannot tell those two apart.

This matters because AOV is the easiest e-commerce number to move on purpose. Set a threshold, and it moves within a week. Whether the business is better off is a separate question that most AOV advice never asks.

Why a free shipping threshold raises AOV

The mechanic is simple and it works. You announce free shipping above some basket value. Customers sitting just under it add an item rather than pay for delivery. Baskets that would have closed at 180 close at 220 instead, and the average moves.

It works because the customer is comparing two visible numbers — the shipping fee against the price of one more item — and the second one usually feels like better value. Nothing about that is manipulative and nothing about it is unusual. It is the most common loyalty and promotion mechanic in e-commerce.

The question is what it costs, and that number is almost never on the same slide as the AOV chart.

What a threshold costs, on one month of orders

Take a store doing 1,000 orders a month at an AOV of 180, gross margin 40%, shipping costing 14 an order and currently paid by the customer. 600 of those orders fall below 220 and 400 are already at or above it.

Where the 1,000 orders sit relative to a 220 threshold

Where the 1,000 orders sit relative to a 220 thresholdProportion bar dividing 1,000 monthly orders into 600 below the 220 threshold and 400 already at or above it, showing that the group needing no incentive is 40% of all orders.1,000 orders a month60060%40040%Below 220 — the group a threshold can moveAlready at or above 220 — rewarded for nothing
The 400 on the right are the whole problem. They already spend above the threshold, so the reward changes nothing about their behaviour and every one of them costs you the shipping.

Introduce free shipping at 220. Assume a good result: 15% of the orders below the threshold — 90 of them — push up by an average of 40 to qualify.

OrdersEffectAmount
Baskets pushed up to the threshold90+40 revenue each, at 40% margin+1,440
Shipping now free on those orders90−14 each−1,260
Shipping now free on orders that already qualified400−14 each−5,600
Net change in gross profit−5,420

Where the money went in the worked month

Where the money went in the worked monthBar chart comparing the extra margin earned from baskets pushed up to the threshold against the shipping cost given away, showing the subsidy to orders that already qualified is by far the largest bar.020004000600080001,440Margin earned1,260Shipping: pushed-uporders5,600Shipping: alreadyqualified
The cost of rewarding customers who needed no reward is four times the margin the mechanic earned. Every figure is a row of the table above.

Average order value goes from 180 to 183.60, a rise of 2.0%. Gross profit goes from 72,000 to 66,580, a fall of 7.5%.

The line that does the damage is the third one. Four hundred customers who were going to

spend over 220 anyway now receive free delivery as a gift. They needed no incentive,

they changed no behaviour, and they cost 5,600 — four times what the mechanic earned.

This is not an argument against thresholds. It is an argument for knowing the shape of your order distribution before you set one. The same threshold on a store where only 100 orders already qualify is comfortably profitable; on this one it is not.

Which loyalty mechanics move AOV without buying it

Ranked by how much margin they give away to get the lift:

  • Points that scale with basket size. A member earning at a higher rate above a

threshold gets the same nudge as free shipping, but the cost is a future redemption at your margin rather than a cash shipping subsidy today — and a meaningful share of points are never redeemed at all.

  • Tier thresholds on annual spend rather than per order. Moves annual value without

putting a discount on any single basket. Slower, and it compounds.

  • Bundles priced above the current AOV. The lift comes from a larger basket at your

normal margin, not from a subsidy. This is the only mechanic on the list that can raise AOV and margin per order at the same time.

  • Free shipping thresholds. Effective, immediate, and the most expensive per unit of

lift, for the reason worked through above.

  • Flat percentage discounts above a threshold. Worst of the set. The discount applies

to the whole basket including the part the customer was always going to buy.

How to tell whether it actually worked

Not by comparing AOV before and after. Seasonality, product mix and any concurrent campaign all move AOV, and a threshold introduced in October will look brilliant against September on its own.

Two things are required for an honest answer:

  1. Measure margin per order, not AOV. The arithmetic above shows exactly why: the two

moved in opposite directions. Use contribution margin, which subtracts every cost that scales with the order, including the shipping you just gave away.

  1. Hold a group out. Withhold the threshold from a random slice of customers for the

test period and compare against them, not against last month. It costs a little revenue and it is the only version of this measurement that survives contact with a sceptical CFO.

If a holdout is genuinely impossible, the fallback is to compare margin per order for baskets that were already above the threshold against those that were pushed up. If the first group is large, you already have your answer. More on measuring the mechanics rather than assuming them under retention.

Common questions

What is a good average order value?

There is no useful benchmark, because AOV is a function of what you sell. A furniture store and a coffee subscription have nothing to compare. The only meaningful comparison is your own AOV against your own margin per order over the same period, which is why any article quoting a cross-industry AOV benchmark is quoting a number that cannot apply to you.

Where should I set a free shipping threshold?

Above your current AOV, but the right distance above it depends on the shape of your order distribution, not on a rule of thumb. Count how many orders already sit above each candidate threshold — that count multiplied by your shipping cost is what the threshold costs you before it earns anything.

Does raising AOV always increase profit?

No, and the worked example above shows AOV rising 2.0% while gross profit falls 7.5% in the same month. AOV contains no cost term, so any mechanic that buys a larger basket with a subsidy can move the two in opposite directions.

Do points-based rewards raise AOV as effectively as free shipping?

Usually less sharply, because the reward is deferred and therefore less vivid at the moment of the decision. They are also considerably cheaper per unit of lift, since the cost is a future redemption at your margin rather than cash spent today, and not every point earned is redeemed.

PS

Paweł Strzelecki

Head of Growth, Loyalz · acquisition and retention mechanics

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