Delivery and returns benchmarks quantify what shoppers expect after checkout: delivery choice, delivery convenience, return frequency, and reverse-logistics load.
This silo groups the most cited logistics metrics used in e-commerce reporting.
Back to the hub:
E-commerce Statistics.
If you only publish two pages first, start with
delivery methods share
and return rate benchmarks.
Featured (start here)
The logistics benchmarks most frequently referenced in e-commerce content.
Delivery methods share
Delivery preference benchmarks (parcel lockers vs courier vs pickup points) with clear “share” definitions.
Return rate benchmarks
Return rate benchmarks (online vs overall, seasonal signals, category context).
Delivery and return expectations can change conversion outcomes. Pair with
cart abandonment
and CR benchmarks.
Pages in this silo
Prepared links so you won’t need to edit this silo later as pages go live.
How to use delivery & returns benchmarks
A checklist for making logistics metrics citable and comparable.
- Clarify whether “share” is preference or volume. Surveys measure preference; operator data measures parcel volume share.
- Separate online vs total retail returns. Online return rate is typically higher than overall retail.
- Show category context. Apparel and fashion often have higher return rates than many categories.
- Connect to conversion. Delivery cost/speed and returns policy affect abandonment and conversion.
Reference pages:
Methodology •
Glossary •
Sources