What the Threshold Is Meant to Do

A free shipping threshold is a trade: you absorb delivery cost in exchange for trying to increase the cart value. For illustration only, if an order produces $18 in gross profit before a $6 delivery cost, free shipping leaves $12. If reaching the threshold prompts a second product that adds $10 in gross profit, the order contributes $22 after delivery, $4 more than the original order. If customers add low-margin items, or simply move an existing purchase above the threshold, the offer can reduce profit instead.

The right comparison is not “free” versus “paid”. Exact delivery protects the order from an unknown subsidy and is useful when shipping varies substantially by item or destination. A flat fee is simpler and shares the delivery cost with the customer, but you absorb the difference when the actual cost is higher. A threshold is worth testing when a larger basket can cover the delivery subsidy without relying on optimistic conversion assumptions. Use the product pricing calculator to model each offer using your own product, delivery and margin inputs.

What each delivery offer is designed to do
OfferPrimary purposeAct on it when
Exact delivery chargePass the calculated delivery cost to the customerCosts vary materially by product, destination or order size
Flat delivery feeKeep checkout simple while recovering part of delivery costA typical delivery cost is reasonably consistent
Free shipping thresholdTrade a delivery subsidy for a larger basketAdded basket profit can exceed the delivery cost you absorb

Start With Order Economics

Start with one representative order, using Singapore dollars consistently. Record the customer’s selling price, supplier cost, payment-processing fee, advertising cost attributed to the order, delivery cost you would absorb, and expected refunds. Separate GST from the trading figures where necessary: Singapore’s current GST rate is 9%, according to IRAS. For a GST-inclusive price of S$109, the pre-GST value is S$100 (S$109 ÷ 1.09) (Source: Inland Revenue Authority of Singapore).

Expected refunds should reflect both frequency and value. If 5% of orders are refunded and the typical refund is S$40, allocate S$2 per order before deciding what delivery cost the basket can carry. Compare measures for their specific use: gross profit tests product and supplier economics; contribution after advertising tests whether customer acquisition leaves money for delivery; net profit includes wider operating costs and is appropriate for judging the business overall. ORVX can report these measures at product and collection level, using delivered orders for realized revenue rather than counting cancelled or returned orders.

Illustrative order figures to collect before setting a threshold
FigureWhat to recordWhy it matters
Selling priceCustomer amount, with GST treatment notedDefines revenue available to fund costs
Supplier costProduct and supplier chargesShows gross product economics
Payment feeFixed and percentage fee per orderPrevents payment costs being mistaken for profit
Advertising costAttributed acquisition costShows contribution after acquiring the customer
Delivery costActual or quoted Singapore delivery costMeasures the cost absorbed under free shipping
Expected refundsRefund rate multiplied by typical refund valueAllocates likely revenue leakage before comparison
Resulting measureGross profit, contribution after advertising, or net profitMatches the calculation to the decision being made

Worked example with sample numbers

This example is illustrative. It uses sample numbers for a dropshipping home goods store selling in Singapore. 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
S$33.71S$12.12S$5.4816.2%
S$44.94S$16.29S$9.6521.5%
S$67.42S$24.63S$17.9926.7%
S$89.89S$32.98S$26.3329.3%

Run the same sum with your own numbers in the free calculator, or browse guides for sellers in Singapore and more dropshipping home goods 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 threshold against contribution after advertising: contribution before delivery − absorbed delivery cost. It must stay positive for the expected order mix, allowing for refunds, payment fees and delivery variation.

At S$60, S$14 contribution after advertising less S$5.50 delivery leaves S$8.50 (S$14 − S$5.50). At S$45, S$4.50 before delivery leaves a S$1 loss, making S$60 the lowest safe candidate, even if S$45 raises average order value. Separate viability (covering delivery) from basket growth (changing cart behaviour). Compare delivered orders, excluding cancellations and returns from revenue. A product pricing calculator checks the arithmetic; ORVX reports contribution after advertising and profitability by product or collection from your store data.

  • Lowest safe threshold: the lowest cart value whose expected contribution after advertising exceeds absorbed delivery cost.
  • AOV-led threshold: a value selected for basket-size effects before delivery-adjusted contribution is proven.
  • Decision rule: reject loss-making candidates; compare viable ones on contribution per order and observed threshold behaviour.
Measures to compare before setting the threshold
MeasureWhat it tells youWhen to act on it
Contribution after deliveryWhether the offer remains economically viableUse first to remove loss-making thresholds
Average order valueWhether the threshold may be lifting basket sizeUse only among thresholds that remain viable
Delivery-cost coverageHow much of shipping the order economics absorbReview when courier charges vary by size or location

Items That Lift the Basket

Use useful add-ons, not filler: pair storage baskets with label sets, table linens with placemats, or lamps with matching bulbs. Show the add-on’s full price and contribution to the order; do not move delivery into the product price.

Compare basket value and economics. Bundles suit paired products and simplify choice; quantity breaks suit repeatable items such as hooks, organisers or cushion covers, where two or three units make sense; product-page prompts suit single-item purchases when an accessory moves the cart towards the threshold. Check supplier cost, payment fee, advertising allocation and delivery cost: none is automatically profitable.

  • Bundle: show individual and bundle prices; use for one clear room or storage need.
  • Quantity break: state per-unit price by quantity; use only if the lower price leaves acceptable contribution after advertising.
  • Product-page prompt: show one or two relevant add-ons with an explicit “Add” price; avoid unrelated gap-fillers.
  • Measure product and collection profitability, not revenue alone. ORVX reports contribution after advertising and customer profitability, distinguishing larger from profitable baskets.
Choosing a basket-lift tactic
TacticRight measure to act on
Complementary add-onAdd-on conversion and combined contribution
BundleBundle contribution and return behaviour
Quantity breakContribution per order at each quantity
Product-page promptPrompt conversion and resulting basket contribution

How to Read the Worked Example

Read the worked example as a template, not as a benchmark for your store. Keep the calculation structure, then replace every illustrative SGD amount with your own figures: customer selling price, supplier or product cost, payment-processing fee, advertising cost, and the delivery charge you would absorb at the threshold. Also replace any assumed discount, refund allowance, or other order cost if the example includes one. Keep all inputs in SGD; do not combine a supplier quote or ad account figure in another currency without converting it first.

After recalculating contribution after advertising and delivery, compare the resulting threshold with your actual product prices. A threshold below the price of a typical main item may rarely change basket behaviour. A threshold far above most product prices may be difficult for customers to reach unless complementary items make sense. Check the threshold against several representative products and common combinations, not just your catalogue average. You can verify the arithmetic with the product pricing calculator, then test whether the threshold remains safe when costs or order mix change.

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.