Delivery Methods Share (E-commerce)

Delivery methods share describes how e-commerce deliveries are split across options like parcel lockers, to-door courier delivery, pickup points (PUDO),
post offices, and click & collect. This page provides citable benchmark reference points and a consistent definition so you can compare like-for-like.

Back to the hub:
E-commerce Statistics.
For operational context, pair delivery preferences with
return rate benchmarks
and funnel impact from
cart abandonment rate.

Metric: Delivery methods share
Silo: Delivery, logistics & returns

Key benchmarks (quick reference)

Delivery “share” can mean preference share (what shoppers choose most often), or volume share (share of parcels delivered by method).
The benchmark points below are preference-oriented unless explicitly stated otherwise.

Delivery preferences are often used as “the why” behind conversion and returns. For a connected benchmark set, link delivery methods with
conversion rate (CR) benchmarks,
cart abandonment,
and return rate benchmarks.

Poland delivery method share (preference benchmarks)

Poland is a European outlier where parcel lockers are a dominant delivery choice for online shopping. Use these benchmark points when describing the Polish market.

Poland: most-used delivery method for online purchases

When writing about Poland, it’s often useful to also cite payments context:
BLIK share in Poland
and payment methods share.

Europe / Eurozone benchmarks (OOH vs to-door)

Across Europe, out-of-home (OOH) delivery (lockers + pickup points) is rising. These benchmark points help quantify preference and adoption signals.

Eurozone: OOH preference and locker adoption signals

Benchmark Value Scope How to interpret
Prefer OOH over to-door delivery 56% Eurozone survey reference Directional indicator that OOH convenience is competitive with to-door delivery.
Used a locker at least once (past 12 months) 75% Eurozone survey reference Adoption signal: lockers are not niche in the referenced panel.

Europe-wide survey signal (what would increase OOH use)

Signal Value How to cite Implication
Would opt for service point/locker if closer to home 59% “59% would opt for delivery to a service point or parcel locker if these options were closer to home.” Network density + checkout availability are key drivers of OOH adoption.

If you’re connecting delivery methods to conversion, link this page with
cart abandonment
and CR benchmarks.

How to use delivery method benchmarks correctly

A short checklist to keep comparisons valid in content and research.

  1. Clarify whether it’s preference or volume. Preference share (survey) is not the same as parcel volume share.
  2. State the market. Poland is a locker-heavy outlier compared to many markets.
  3. Separate OOH types. Lockers and pickup points (PUDO) are both OOH; some reports merge them.
  4. Connect to outcomes. Delivery choice influences conversion, satisfaction, and returns.

Delivery methods share is commonly reported as one of the following:

  • Preference share: percent of shoppers who choose a method most often (survey-based).
  • Delivery volume share: method parcels delivered ÷ total parcels delivered (operator/logistics data).
  • Checkout availability share: share of checkouts that offer a method (platform/merchant datasets).

Reference pages: GlossaryMethodology

Sources

Primary sources for the benchmark points cited on this page.

Hub-wide pages:
Sources
Methodology
Glossary

Cite this page

Copy and paste (adjust date if needed).

Suggested citation (APA style):

Best for Ecommerce. (2026). Delivery methods share (e-commerce). Retrieved from
/ecommerce-statistics/delivery-returns/delivery-methods-share/

Jakub Szulc

I am an active Ecommerce Manager and Consultant in several Online Stores. I have a solid background in Online Marketing, Sales Techniques, Brand Developing, and Product Managing. All this was tested and verified in my own business activities

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