E-commerce Statistics - Best For Ecommerce

Delivery cost as a conversion barrier measures how often shoppers abandon or hesitate because shipping fees, taxes, delivery speed, or delivery options do not match expectations. The benchmark matters because the shopper experiences delivery cost at the exact moment when the store wants the order completed. Back to the hub: E-commerce Statistics. This page belongs to the Delivery & Returns silo. For wider funnel context, compare this with cart abandonment rate, free shipping threshold benchmarks, and delivery methods share. Related metrics: delivery trust impact on conversion and shipping cost share of order value. Topic: Delivery cost and conversion Scope: Checkout, shipping and delivery options Use case: Conversion optimization Updated: 2026-05-31 Key benchmarks Breakdown How to use this data Methodology Sources Benchmark snapshot Key numbers and pressure signals Use these as directional benchmarks for e-commerce operating pressure. Check the source scope before citing any value. 39% Extra costs too high Baymard reports extra costs such as shipping, tax and fees as the top reason for checkout abandonment among abandoners. 21% Delivery too slow Baymard reports slow delivery as another checkout abandonment reason. 81% Abandon when preferred delivery is missing DHL reports that shoppers abandon carts when preferred delivery options are missing. Benchmark Reference point How to read it High extra costs 39% of abandoners cite extra costs such as shipping, tax and fees Late shipping-cost shock can erase demand created by paid traffic and merchandising. Slow delivery 21% cite delivery being too slow Speed is a conversion variable, not only an operations variable. Missing preferred option DHL reports 81% abandon when preferred delivery options are missing Choice of delivery method can be as important as price for some shopper segments. Delivery issue abandonment Sendcloud reports 48% abandoned in the last 3 months due to delivery issues Delivery friction can occur before or during checkout, not only after purchase. Free shipping availability parcelLab found free standard shipping in only 14% of sampled top U.S. online shops Many retailers still charge for delivery, so the key issue is whether the cost feels transparent and justified. Logistics and fulfillment benchmarks are especially sensitive to product category, parcel size, geography, delivery promise, carrier mix, return policy, and whether costs are shown as gross shipping cost, net shipping subsidy, fulfillment cost, or total logistics cost. Interpretation Why delivery cost damages conversion Delivery cost is most damaging when it arrives late, feels unfair, conflicts with the promised delivery speed, or makes the final order total look worse than competing alternatives. Late cost surprise A customer may accept a product price but reject the final total when shipping, taxes and fees appear late in checkout. Speed mismatch A paid delivery fee feels worse when delivery is also slow. Stores need to balance price, speed and option clarity. Option mismatch Some shoppers prefer lockers, pickup points, courier, home delivery or express delivery. Missing the preferred method can break purchase intent. Threshold psychology Free shipping thresholds can increase AOV, but thresholds that feel too high can delay or prevent purchase. Application How to use delivery cost conversion benchmarks Show delivery cost early. Do not wait until the final checkout step to reveal shipping, taxes or delivery fees. Test thresholds against margin. A free shipping threshold should lift AOV enough to offset the shipping subsidy and not simply reduce contribution margin. Segment delivery options by market. Preferred delivery methods vary by country, age group and urban density, so one delivery setup rarely works everywhere. Measure conversion and margin together. Lower shipping fees can lift conversion but still reduce profit if order margin cannot carry the subsidy. Methodology How this benchmark should be read Delivery-cost benchmarks often come from shopper surveys and cart-abandonment studies; they should not be treated as direct conversion uplift values. Abandonment reasons can overlap: a shopper can cite extra cost, slow delivery and missing preferred option for the same failed purchase. Use this page with A/B tests or before/after analysis when changing shipping fees, thresholds or delivery options. Sources Sources used for this dataset Baymard Institute: Cart Abandonment Rate Statistics Baymard Institute: How to Reduce Cart Abandonment DHL Group: E-Commerce Trends Report 2025 press release Sendcloud: E-commerce Delivery Compass parcelLab: U.S. eCommerce Shipping Study 2025 PDF Cite this page How to cite this dataset E-commerce Delivery Cost as Conversion Barrier. Best For Ecommerce. Updated 2026-05-31. Available at: https://bestforecommerce.com/ecommerce-statistics/delivery-returns/delivery-cost-conversion-barrier/