What a Threshold Is Meant to Do

A free-shipping threshold is a delivery-cost trade-off: the customer receives standard shipping at no charge once the order reaches a stated cart value, while the store absorbs that delivery cost. The threshold should therefore be treated as a customer promise, not just a checkout setting. State what qualifies, which shipping service is included, whether taxes and returns are excluded, and whether the rule applies to every product or only eligible items.

A shipping incentive is different from a discount. The item prices stay unchanged; the customer earns a delivery benefit by building a qualifying basket. That can encourage an additional shirt, trouser or accessory without reducing the selling price of the existing items. Blanket free delivery makes the promise on every order, including small baskets that may not cover fulfilment costs. A discount reduces the order’s selling price instead, whether or not the customer reaches a shipping threshold. These choices answer different questions: whether to subsidise delivery, reduce product price, or offer the same delivery promise to everyone.

Start With the Order Economics

Start with the economics of one delivered order, using the amount the customer actually pays after discounts rather than the catalogue price. Record product cost, payment-processing fees, fulfilment or pick-and-pack cost, the carrier charge, and any shipping fee collected from the customer. Keep taxes separate if they are remitted rather than retained as revenue.

Returns need their own line. Estimate the refund value, return postage, handling, and any stock loss or markdown, not just the percentage of orders returned. For illustration only, a $120 order with $48 product cost, $3.78 payment fees, $8 fulfilment, $9 shipping, and $6 expected return cost leaves $45.22 before advertising. That is the amount available to compare across delivery offers. A product pricing calculator can help structure the price and cost inputs.

Order-level inputs for the delivery-cost calculation
InputWhat to record
Selling pricePaid order value after discounts; separate tax
Product costUnit cost multiplied by the products sold
Payment feesTransaction fee and any fixed order charge
Fulfilment and shippingPick-pack, packaging, carrier cost, and shipping collected
ReturnsRefund value, return handling, postage, and stock loss

Worked example with sample numbers

This example is illustrative. It uses sample numbers for a men's fashion store selling in the US. They are made up to show the method, they are not a benchmark, and your own figures will differ.

Formula: Lowest safe basket = (delivery + packing + fixed fee) / (gross margin rate - percentage fee - minimum margin you will accept).

Sample numbers: free delivery at different basket sizes
Basket without taxMargin before deliveryAfter absorbing deliveryShare of basket
$55.49$36.43$30.8055.5%
$73.99$48.67$43.0558.2%
$110.98$73.15$67.5360.8%
$147.98$97.63$92.0162.2%

Run the same sum with your own numbers in the free calculator, or browse guides for sellers in the US and more men's fashion guides.

General information only: tax, duty and import rules change and depend on your situation, so check with an accountant or the official source before acting.

Eligible Shopify stores can see these numbers for their own store through the Founding 10,000 offer.

Finding the Lowest Safe Threshold

Test each candidate threshold against the contribution dollars of the orders that would qualify, not against revenue alone. Start with the contribution margin for a delivered order, then subtract the standard delivery cost when shipping is free. If delivery cost is already included in your contribution calculation, do not subtract it again.

A threshold is safe when the qualifying order still produces the minimum contribution you require after delivery cost. Compare candidates consistently: a lower threshold will usually expose more orders to free shipping, while a higher threshold limits eligibility but may leave fewer orders qualifying. The calculation should therefore use your actual qualifying-order mix, not an assumed average product or catalogue price.

Interpret the separate worked calculation by checking the final contribution amount after shipping. A positive result means the order clears delivery cost under the stated assumptions; a negative result means that candidate threshold is not safe for that order mix. If the result is positive but below your required contribution, treat it as unsafe even though it is technically profitable. Repeat the calculation for each candidate and select the lowest threshold that clears your chosen floor.

Items That Lift the Basket

Use products that increase order value without changing the price of the main item. A shirt at $78 can reach a $110 threshold with a $32 belt, whereas a 15% discount on the shirt lowers revenue and may still leave the order below the threshold. Prioritise add-ons with reliable stock, low return risk and healthy contribution after advertising. Check those economics at the product and collection level in ORVX, rather than choosing accessories by revenue alone.

Merchandising can make the path visible before checkout. Place complementary items beside the primary product, create bundles at a combined price that preserves contribution, and feature complete outfits on collection and product pages. Bundles suit shoppers buying an entire look; individual add-ons suit customers who already know the main item they want. Do not force slow-moving stock into a bundle unless its remaining value and profitability justify the space.

Cart tactics work closest to the decision. Show the remaining amount to free shipping and recommend relevant items at or just above that gap, such as socks, belts or care products. A progress message helps when the gap is small; broader product recommendations are more useful when it is large. Compare each tactic by incremental contribution, not by basket value alone.

Which Measure Should You Act On?

No single measure answers every threshold question. Use order value to understand basket size, contribution margin to protect profit, shipping cost to price the subsidy, and qualifying-order data to judge how many customers can reach the offer. The right measure depends on the decision you are making: setting the threshold, checking its economics, or assessing its reach.

Choose the measure that matches the decision
MeasureDecision it supportsLimitation
Order valueSet a threshold near the basket values customers already reach, or identify the gap an add-on must close.Revenue does not show product cost, advertising, returns, or the shipping subsidy.
Contribution marginCheck whether qualifying orders retain enough dollars after product costs and variable selling costs to absorb free shipping.It depends on accurate product costs and allocation rules; an average can hide weak products or collections.
Shipping costEstimate the delivery subsidy at each candidate threshold and compare it with the order’s available contribution.A low shipping charge does not make a low-margin order profitable; zones, package size, and service level can vary.
Qualifying-order rate and countJudge how many orders would receive free shipping and whether the threshold is reachable for the intended customer.It shows reach, not whether those orders are profitable or whether customers would have purchased without the offer.

Measuring the Result

Measure a consistent baseline before changing the threshold, then compare it with an equally long period after the change. Track the share of orders that qualify for free shipping, delivered-order conversion rate, average shipping cost per delivered order, contribution margin, cancellations and returns. Keep traffic source, promotions, product mix and seasonality visible: a holiday sale or a large paid campaign can change these measures without the threshold being responsible.

Review qualifying orders by cohort, not only by order date. A customer may place an order in the period, cancel it later or return part of it after the period ends. Reconcile revenue and margin after those outcomes are known. Delivered-order revenue is the usable basis for profitability; report return rate by units and refund value against revenue, and separate cancelled orders from completed orders.

Change the threshold only when the result is consistent across comparable periods. If qualification rises but contribution per delivered order falls after shipping cost, the threshold may be too low. If margin holds but conversion or order volume weakens, it may be too high. ORVX can connect Shopify orders, products and customers, calculate product-cost-based gross and net profit, and show return and refund measures alongside profitability so these trade-offs are reviewed together.

A workable free shipping threshold is the lowest customer-facing amount that the order economics can support consistently. Use the worked calculation to understand the trade-off, choose the measure that matches the decision, and review the result at order level rather than treating the threshold as a permanent rule.

Sources

How this page was made: drafted with AI from a brief, then checked by automated rules for arithmetic, sources and duplication. The sample numbers were calculated, not reported.