Inspect the current basket distribution
An average hides how many orders sit just below a proposed threshold. Look at the distribution and the products customers can realistically add. A threshold far above a normal useful basket may feel irrelevant rather than motivating.
Segment regions or fulfillment situations when shipping costs differ materially. Keep eligibility conditions clear so the promise does not change unexpectedly during checkout.
Calculate the tradeoff
- Estimate the contribution from a plausible added item.
- Estimate the shipping subsidy and any extra fulfillment cost.
- Review how many current orders would receive the subsidy without adding items.
- Test conversion and total contribution, not only basket value.
- Watch returns, refusals and customer confusion about eligibility.
The subsidy on orders that would already qualify matters. A threshold can increase basket value for some customers while giving away margin on many unchanged orders.
Decision table
| Observation | Question |
|---|---|
| Many baskets just below the threshold | Is a useful add-on available? |
| Shipping varies by region | Are eligibility and costs represented accurately? |
| Order value rises, contribution falls | Does the subsidy exceed added value? |
| Checkout completion falls | Is the threshold confusing or unrealistic? |
Worked example: added value versus subsidy
Illustrative example: an added item contributes 8 units after its variable costs, while the free-shipping offer costs the business 6 additional units on that order. The incremental pre-advertising contribution is 2 units under those assumptions. But existing qualifying orders may receive the 6-unit subsidy without adding anything.
The full test therefore needs order mix and total contribution. Looking only at the customers who increased their baskets would bias the conclusion.
Keep the offer understandable
State the threshold, eligible regions and important exclusions near the buying path. A progress indicator can help only when it reflects the actual rules. Do not display a universal free-shipping promise if the checkout later contradicts it.
Should the threshold be above average order value?
That can be a starting hypothesis, not a universal rule. Basket distribution, useful add-ons and costs determine whether it is sensible.
Can free shipping reduce trust?
Unexpected exclusions or hidden conditions can. Clear eligibility helps buyers understand the offer before committing effort.
Put this into practice
Model a plausible qualifying basket and the subsidy on unchanged orders. Test the threshold with conversion and total contribution as connected outcomes.
Related foundation: Shopify conversion rate optimization: a practical store audit. How these guides are prepared.
Ayoub Mouhachtt
Growth & performance marketing. Explore the portfolio and working background.
Related portfolio work: Etsy & Shopify. The worked examples in this guide are illustrative and are separate from the portfolio’s project evidence.