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InsightsE-commerce benchmarks

The numbers behind European e-commerce growth.

Real conversion, cart, device, and A/B testing data from 117 European brands, 486 million sessions, and DRIP's experiment database.

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2026 datasetUpdated quarterlyNo vendor self-reporting
Benchmark pulseQ1 locked
2.66%median conversion rate
Desktop CR 3.93%Mobile CR 2.46%A/B win rate 36.3%
117European brandsGA and shop data
486Msessions analyzedMarch 2025-February 2026
4,000+experimentsDRIP research database

Benchmarks calibrated across high-growth e-commerce teams

A compact view of the brands, experiments, and growth programs behind DRIP's benchmark work.
Strauss
Koro
Sunday Natural
The Body Shop
Grover
Hello Fresh
Natural Elements
AG1
Bluebrixx
Woom
Hornbach
Tourlane
Congstar
Holy
Junglück
PV
Wunschgutschein
Motel A Mino
Ryzon
Kickz
The Female Company
Livefresh
Schiesser
Horizn Studios
Brand logos slide 1
Brand logos slide 2
Brand logos slide 3
4,000+
A/B Tests Run
95%
Client Loyalty
52.6%
Test Win Rate
€500M+
Revenue Generated
02 · Full benchmark reports

Read the full benchmark reports.

Each report expands one metric into definitions, tables, methodology notes, and practical prioritization guidance.

02
Benchmarks8 min read

What Is a Good E-Commerce Conversion Rate in 2026?

Industry benchmarks for e-commerce conversion rates in 2026, plus why Revenue Per User is the metric that actually matters.

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Benchmarks11 min read

E-Commerce Conversion Rate Benchmarks 2026: Data from 117 Brands

Conversion rate benchmarks from 117 brands and 486M sessions: 2.66% median CR, 3.93% desktop, 2.46% mobile, plus traffic source and trend data.

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Benchmarks10 min read

Cart Abandonment Rate Statistics: What 117 E-Commerce Brands Reveal (2026)

Real cart abandonment data from 117 brands: 83.5% median rate, 93.3% on mobile, plus full funnel benchmarks by device.

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Benchmarks9 min read

Mobile vs Desktop Conversion Rates: What 486 Million Sessions Reveal (2026)

Desktop converts 1.56x higher than mobile, yet mobile commands 78% of traffic. Full device comparison from 486M sessions across 117 brands.

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Benchmarks12 min read

A/B Testing Statistics: What E-Commerce Experiments Reveal

Proprietary A/B testing data: 36.3% win rate, +2.77% median RPV uplift, and which test types deliver the highest ROI.

Read report
Benchmarks14 min read

CRO Statistics & Industry Report 2026: The Complete Data Reference

The complete CRO statistics reference for 2026: conversion benchmarks, A/B testing win rates, testing velocity data, and ROI metrics from DRIP's proprietary experiment database and 486M sessions.

Read report
03 · Market distribution

Where your conversion rate actually sits.

A single conversion-rate average hides the distribution. The useful question is whether your store is below the median, in the crowded middle, or already fighting for the long tail.

03
2.66%Median CRAll devices
3.93%Desktop CRTop quartile starts at 6.1%
2.46%Mobile CR78% of traffic
EUR 68Median AOVAcross categories
83.5%Cart abandonment93.3% on mobile
36.3%A/B win rate+2.77% median RPV
CR distribution · n=117 brands

Median sits at 2.66%, but the long tail starts above 7%.

Brand count by CR bucket
4
<0.5%
11
0.5-1%
22
1-1.5%
28
1.5-2.5%
19
2.5-3.5%
14
3.5-5%
9
5-7%
6
7-10%
3
10-15%
1
15+%
Source · DRIP Research Hub · 2026 Q1Median bucket highlighted
DRIP brand benchmark map from the research system
Benchmark mapping

Brand-level references are grouped by category, funnel maturity, traffic mix, and experimentation velocity before comparisons are made.

04 · Device economics

Mobile carries the traffic. Desktop still carries the margin.

Mobile now owns the top of the funnel, but it under-delivers on revenue share because product discovery, reassurance, and checkout behavior change on smaller screens.

04
Traffic share vs revenue share
Mobile2.46% CR
Traffic78%
Revenue49%
Desktop3.93% CR
Traffic19%
Revenue46%
Tablet2.71% CR
Traffic3%
Revenue5%
Full funnel drop-off
01Visit
100%
100%
02Product view
58.4%
49.2%
03Add to cart
11.7%
8.9%
04Begin checkout
5.4%
3.2%
05Purchase
3.93%
2.46%
DesktopMobile
Mobile A/B test before and after reference
Mobile gap

The biggest benchmark delta is not technical. It is behavioral.

The strongest mobile programs do not just shrink desktop UX. They rebuild reassurance, comparison, and checkout momentum around the way people actually buy on a phone.

05 · Cart abandonment

83.5% of carts never become orders.

Most cart loss is driven by uncertainty that appears late: shipping, delivery, payment trust, returns, and forced account creation.

05
Abandonment by device93.3%

mobile cart abandonment median

Desktop 73.1%Tablet 81.7%Mobile 93.3%
Top reasons users leave

Exit surveys show a late-stage trust and cost problem.

Unexpected shipping cost49%
Forced account creation24%
Slow delivery promise19%
Complex checkout flow18%
Trust or payment concerns17%
Comparison shopping16%
06 · A/B testing

Win rate is a research-quality metric.

A/B testing benchmarks only become useful when you know how the hypothesis was found, how the test was powered, and whether the result was worth shipping.

06
DRIP testing dashboard table with experiment status
36.3%strict win ratep < 0.05, shipped tests only
62.1%decisive testsclear winner or loser
+2.77%median winner RPVrevenue per visitor lift
24+top-quartile velocityexperiments per year
07 · Psychological drivers

The benchmark tells you where. The driver tells you why.

Use the data to find the gap, then map that gap to the behavior that is not being satisfied. This is where benchmarking becomes a roadmap.

07
01

Progress

Does the shopper feel closer to the goal after each click?

02

Security

Is the evidence strong enough to trust the next step?

03

Autonomy

Can the shopper compare, control, and choose without pressure?

04

Status

Does the choice reinforce who the shopper wants to be?

05

Comfort

Does the buying path feel effortless on the device they use?

06

Belonging

Do people like them clearly buy, review, and recommend this?

07

Curiosity

Is there a useful open loop that makes exploration feel worth it?

08 · Methodology

Useful benchmarks need a clean measurement protocol.

This hub combines public-facing benchmark articles with the same internal research discipline we use when deciding what to test for clients.

  • 117 European e-commerce brands with complete GA and shop event coverage.
  • 486M sessions measured across device, category, traffic source, and funnel stage.
  • Thousands of controlled experiments normalized by metric, page type, and decision rule.
  • Quarterly refresh cadence with outliers and incomplete tests removed before publication.
Psychological driver radar from DRIP research
Driver normalization

Benchmarks are interpreted through customer motivation, funnel stage, and page-type behavior before they become test ideas.

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