Pain point: Orders too small

Free-shipping thresholds and order value: what Baymard, McKinsey and the journals found

The usual advice is to set the threshold above the typical basket. Four sources give a more careful picture of orders, order value and returns.

3 min read7 sources, linked at the end

40%chose “extra costs too high”, the top reason for leaving a cart after “just browsing”

Independent researchBaymard, “Cart Abandonment Rate Statistics” (opens the source)Sources

The usual logic: set the free-shipping threshold a little above the typical basket, and shoppers add an item to reach it. The sources below give a more careful picture. None tested a Shopify store or an app.

Shoppers rank extra costs first

Baymard Institute reports that 42% of US online shoppers abandoned a cart because they were “just browsing / not ready to buy.” Among the remaining reasons, the top one is “Extra costs too high (shipping, tax, fees)” at 40%. Slow delivery follows at 20%, and 12% could not “see / calculate total order cost up-front.” The shares add up to more than 100%, so shoppers gave more than one reason. Baymard’s page gives no sample size, so treat the numbers as indicative.

In a separate Baymard article, 64% of test users “looked for shipping costs on the product page, before deciding to add a product to the cart.” So the cost should be visible well before the threshold matters.

A low threshold can cost margin

McKinsey notes that “a fast-fashion retailer with a low free-shipping threshold may need to absorb a large number of negative-margin sales.” The same article says fulfilment can be 12 to 20 percent of e-commerce revenue. A threshold is a trade, and the margin side counts.

One natural experiment: more orders, no clear change in basket size

Hirche, Gijsenberg and Bijmolt (University of Groningen) studied a major European online retailer that moved from category-based shipping fees to a single €2.95 fee with free shipping over €20. The data covers 26.21 million orders. This is a working paper, and the retailer changed fees for some products up and for others down.

Where fees fell, daily sales rose by 45.21% and daily orders by 43.58%. Where fees rose, there was no significant effect. On average order value: “no evidence for a significant effect.” The authors had expected smaller orders and could not confirm it. Returns rose slightly, from 30.07% to 30.36% where fees rose and from 52.30% to 54.56% where fees fell, and the abstract says the effect “is not driven by filler purchases.”

One field experiment, one model

Li, Tsekouras and Cheng ran a randomized field experiment with a live online retailer. They report that “unconditional free shipping leads to higher conversion rates, by at least 2.2%, compared to threshold-based free shipping,” and estimate an 18% revenue gain, about €191,419 a year. We read only the abstract, which gives no sample size.

A peer-reviewed model by Li, Sheng and Zhan, for online grocers, finds that when consumers differ enough, the best policy induces some to top up their orders. “Otherwise, a top-up option is unnecessary, and a flat-rate shipping fee policy is optimal.” It is a model, not a test.

What to do this week

  • In Shopify admin, check your free-shipping setup. Shopify’s help page says “the minimum purchase amount counts product prices only, and other costs such as taxes are never included.”
  • Write down your average order value and your threshold.
  • Show the shipping cost before checkout.
  • Change one thing at a time and compare orders, order value and returns over at least two full weeks.

What we checked

  1. SourceBaymard Institute, “Cart Abandonment Rate Statistics”, full text. Quote: “40 % Extra costs too high (shipping, tax, fees).”Open on baymard.com (opens the source)
  2. SourceBaymard Institute, “Product Pages Need to Show ‘Estimated Shipping Costs’”, full text. Quote: “64% of users looked for shipping costs on the product page.”Open on baymard.com (opens the source)
  3. SourceMcKinsey, “Solving the paradox of growth and profitability in e-commerce”, full text. Quote as above (Archived copy because mckinsey.com did not load.)Open on mckinsey.com (opens the source)
  4. SourceHirche, Gijsenberg and Bijmolt, “Asking Less, Getting More?”, University of Groningen SOM research report, full text. Quote: “we find no evidence for a significant effect of threshold-based free shipping on the daily average order value.”Open on rug.nl (opens the source)
  5. SourceLi, Tsekouras and Cheng, “Free shipping 3.0: Leveraging scarcity and popularity information”, ICIS, abstract only. Quote as aboveOpen on researchonline.lse.ac.uk (opens the source)
  6. SourceLi, Sheng and Zhan, “Designing shipping policies with top-up options to qualify for free delivery”, Production and Operations Management 32, abstract only., abstract read throughOpen on doi.org (opens the source)Open on api.crossref.org (opens the source)
  7. SourceShopify Help Center, “Free shipping discounts”, full textOpen on help.shopify.com (opens the source)
  8. Our checkWe have not run this test on any store, so this note makes no first-hand claim.