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E-Commerce Customer Support Statistics for 2026

Public benchmarks for cart abandonment, recovery, returns, support load, and personalization.

19 stats4 categories

  • 22%

    22% end checkout because delivery is too slow.

    Baymard Institute · 2026

  • 35.26%

    Baymard says the average large e-commerce site can increase conversion by 35.26% through checkout redesign.

    Baymard Institute · 2026

  • 82%

    82% of shoppers sometimes or always check a retailers return policy before making a purchase.

    Narvar · 2025

  • 30%

    Barilliance says personalized product recommendations can drive more than 30% of e-commerce revenue.

    Barilliance · 2025

E-commerce support benchmarks: cart abandonment, recovery email performance, returns behavior, holiday support load, and personalization revenue. Sources include Baymard, Moosend, Narvar, Zendesk, and Barilliance.

Key findings

  1. 01

    The most reliable cart abandonment benchmark remains Baymards 70.19% average rate.

  2. 02

    Shipping, taxes, and fees are still the biggest checkout killer in public data, well ahead of account creation and checkout complexity.

  3. 03

    Recovery email economics remain compelling: Moosend reports up to 45% open rates, 21% click-through among opened emails, and purchases from half of clickers.

  4. 04

    Returns policy visibility is a real buying variable, not just a post-purchase concern. Narvar reports that 82% of shoppers check the return policy before buying.

  5. 05

    Personalization remains one of the strongest revenue levers, with Barilliance attributing more than 30% of revenue and a 12% attributed revenue lift to recommendation programs.

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Cart Abandonment

Statistic
The documented average cart abandonment rate is 70.19%.Baymard Institute · 2024
48% of US online shoppers abandon checkout because extra costs such as shipping, taxes, or fees are too high.Baymard Institute · 2025
24% abandon because the site wanted them to create an account.Baymard Institute · 2025
22% end checkout because delivery is too slow.Baymard Institute · 2026
18% do not trust the site with their credit card information.Baymard Institute · 2026
17% abandon because checkout is too long or too complicated.Baymard Institute · 2025
16% abandon because they could not see or calculate the full order cost upfront.Baymard Institute · 2025
13% abandon because the website had errors or crashed.Baymard Institute · 2025
12% abandon their purchase because they are dissatisfied with the site’s return policy.Baymard Institute · 2026
9% abandon because there were not enough payment methods.Baymard Institute · 2025
4% abandon their purchase when their credit card is declined.Baymard Institute · 2026

Recovery & Conversion

Statistic
Cart abandonment emails see open rates of up to 45%.Moosend · 2025
21% of opened cart abandonment emails receive a click-through.Moosend · 2025
Half of the users who click a cart abandonment email end up making a purchase.Moosend · 2025
Baymard says the average large e-commerce site can increase conversion by 35.26% through checkout redesign.Baymard Institute · 2026

Returns & Support Load

Statistic
82% of shoppers sometimes or always check a retailers return policy before making a purchase.Narvar · 2025
Zendesk says holiday support ticket volumes can increase by as much as 42%.Zendesk · 2023

Personalization & Revenue

Statistic
Barilliance says personalized product recommendations can drive more than 30% of e-commerce revenue.Barilliance · 2025
Barilliance reports an average 12% increase in attributed revenue after implementing product recommendations.Barilliance · 2025

Methodology

Last updated March 31, 2026. Each claim links to a current public source page from the named publisher.

Data limitations

  • Cart-abandonment and return-rate figures vary by category, geography, and price band.
  • Statistics blend mobile and desktop behavior even when patterns differ significantly.
  • Direct-to-consumer numbers may not transfer to marketplace sellers (Amazon, Etsy, eBay).

Frequently asked questions

Baymard Institutes published benchmark of 70.19% is the strongest public cart-abandonment figure.

Baymard data points to extra costs first, followed by forced account creation, checkout complexity, lack of upfront total cost visibility, site errors, and limited payment methods.

Yes. Moosend reports open rates up to 45%, click-through rates on 21% of opened emails, and purchases from half of the users who click.

Very important. Narvar reports that 82% of shoppers sometimes or always check a retailers return policy before buying.

Barilliance says product recommendations can drive more than 30% of e-commerce revenue and reported an average 12% increase in attributed revenue after implementation.

Turn these statistics into results

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