Cart Abandonment Rate Benchmarks

Cart abandonment rate measures how often shoppers add items to a cart but don’t complete the purchase. This page provides a citable benchmark,
the most common abandonment reasons, and a clear definition so comparisons stay consistent across tools and reports.

Back to the hub:
E-commerce Statistics.
For a complete funnel view, compare abandonment with
conversion rate (CR) benchmarks
and revenue context from
average order value (AOV) benchmarks.

Metric: Cart abandonment rate
Silo: Conversion funnel benchmarks

Key benchmark

A widely cited reference point for reporting and benchmarking.

70.22%
Average documented online shopping cart abandonment rate
Type: multi-study average
Scope: multi-market
Formula: (Carts − Orders) ÷ Carts

Treat this as a benchmark reference, not a target. Abandonment rates can shift with category, device mix, traffic intent,
checkout UX, and payment friction. Keep the definition consistent when comparing across time or across stores.

If you need adjacent context metrics for reporting, use:
conversion rate (CR) benchmarks,
AOV benchmarks,
payment methods share,
and delivery methods share.

Top reasons shoppers abandon carts

These are the most frequently cited reasons in cart abandonment research. Use them as the “why” layer in articles and decks.

Reason Share How to use this insight
Extra costs too high (shipping, tax, fees) 39% Report the impact of shipping/fees. Consider pricing transparency and threshold strategies.
Delivery was too slow 21% Compare expectations with delivery benchmarks:
delivery methods share
and your own lead times.
Didn’t trust the site with credit card information 19% Emphasize trust signals, clear policies, and credible payment options.
The site wanted me to create an account 19% Explain guest checkout impact and checkout friction reduction.
Too long / complicated checkout process 18% Discuss checkout simplification, form reduction, and mobile-first UX.
Returns policy wasn’t satisfactory 15% Use return benchmarks to contextualize expectations:
return rate benchmarks.
Website had errors / crashed 15% Highlight operational reliability, monitoring, and error handling at checkout.
Couldn’t see / calculate total order cost up-front 14% Make total cost visible earlier in the funnel and reduce surprises.
Not enough payment methods 10% Compare local payment needs with:
payment methods share
and, for Poland, BLIK share.
Credit card was declined 8% Describe fallback methods, retries, and clearer decline messaging.
READ  Methodology (E-commerce Statistics)

How this connects to conversion rate

Abandonment is one of the most common explanations for conversion rate differences between stores and devices.
When presenting abandonment, pair it with
CR benchmarks
and revenue context from AOV benchmarks.

How to benchmark cart abandonment correctly

A short checklist to prevent invalid comparisons in research and reporting.

  1. Fix the definition. Decide what “cart” means in your measurement (cart created vs add-to-cart events vs checkout started).
  2. Use consistent order logic. Count paid orders consistently (not created orders) if you compare across systems.
  3. Compare like-for-like segments. Device mix, category, and traffic intent can shift abandonment sharply.
  4. Include context metrics. Report abandonment alongside CR and AOV, and mention payment and delivery context.

Helpful context pages:
mobile share of traffic,
mobile share of revenue,
payment methods share,
delivery methods share.

Definition

Different tools define “cart” differently—keep your definition consistent when comparing.

Cart abandonment rate is commonly calculated as:

Abandonment = (Carts − Orders) ÷ Carts × 100

  • Carts can mean carts created, add-to-cart events, or carts with contact captured.
  • Orders should match your order definition (paid vs created vs fulfilled—pick one and stick with it).
  • If you track checkout abandonment, keep it separate from cart abandonment to avoid mixing benchmarks.

Shared reference pages:
Glossary
Methodology

Sources

Primary source for the benchmark and the reasons distribution.

Hub-wide pages:
Sources
Methodology
Glossary

Suggested citation (APA style):

Best for Ecommerce. (2026). Cart abandonment rate benchmarks. Retrieved from
/ecommerce-statistics/conversion-funnel/cart-abandonment-rate/

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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