About the Free Shipping Threshold
Retailers considering a free-shipping threshold need to know whether the extra items customers add to qualify are worth more than the shipping cost being absorbed. This calculator compares a projected average order value lift against that shipping cost to show the net dollar effect per order.
How It Works
Enter the current average order value, the average shipping cost the store would absorb per qualifying order, and an expected percentage lift in AOV as customers add items to reach the threshold. The calculator projects a new AOV from that lift, then subtracts both the original AOV and the shipping cost to isolate the net gain or loss per order.
Formula & Methodology
The lift percentage is the input that carries the most weight and is not derived by the calculator itself - it has to come from an estimate, a past promotion, or an A/B test, since the tool only models what happens once you have a lift figure to test.
Examples
Threshold barely pays for itself
With a $45 current AOV, $6 in shipping cost absorbed per order, and an expected 15% AOV lift, the new AOV projects to $51.75, leaving a net impact of just $0.75 per order.
Shipping cost outweighs the lift
With an $80 AOV, a $9 shipping cost, and only a 10% expected lift, the new AOV is $88 and the net impact comes out to -$1.00 per order, meaning the threshold would need to be raised or the lift would need to be larger to break even.
Advantages
- Turns a subjective merchandising decision into a concrete per-order dollar figure before rolling out a threshold sitewide.
- Separates the two competing forces, AOV lift and shipping cost, so each can be adjusted independently to see its effect.
- Gives a quick way to sanity-check a proposed threshold level using a conservative lift estimate before running a live test.
Common Mistakes
- Plugging in an optimistic AOV lift percentage that isn't backed by a test or comparable historical promotion.
- Using a flat shipping cost estimate that doesn't reflect how cost varies with order weight or destination.
- Treating any positive net impact as proof the promotion will work, without accounting for other costs like extra packaging or fulfillment time.
Edge Cases to Watch For
- The result is a per-order estimate; it does not account for any change in overall order volume or conversion rate that a free-shipping offer might cause.
- Only shipping cost absorbed is subtracted - other costs like extra packaging for larger orders aren't part of the formula.
- A net impact near zero or negative signals the threshold is likely set too low relative to the shipping cost being absorbed, not that free shipping never works.
Common Use Cases
- Ecommerce merchants deciding where to set a new free-shipping minimum.
- Marketing or merchandising teams testing whether raising an existing threshold still pays off.
- Analysts modeling the approximate break-even point for a shipping promotion before committing marketing budget to it.