01
Progress
Does the shopper feel closer to the goal after each click?
E-commerce benchmarks, 2026 dataset
The numbers behind European e-commerce growth
Conversion, cart and device data from 117 European brands and 486 million sessions, plus what the A/B testing win rate really tells you.
Updated quarterly. No vendor self-reporting.
Q1 locked
2.66%median conversion rate
- Desktop CR
- 3.93%
- Mobile CR
- 2.46%
117European brandsGA and shop data
486Msessions analyzedMarch 2025 to February 2026
4,000+experimentsDRIP research database
Full reports
Read the full benchmark reports
Each report takes one metric apart: definitions, tables, how it was measured, and what to fix first.
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.
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.
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.
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.
A/B Testing Statistics: What E-Commerce Experiments Reveal
What share of A/B tests win, how large winning effects are, how long to run a test, and where to test first.
CRO Statistics & Industry Report 2026: The Complete Data Reference
The complete CRO statistics reference for 2026: conversion, mobile and funnel benchmarks from 486M sessions, plus A/B testing win rates and CRO ROI.
Market distribution
Where your conversion rate actually sits
An average hides the spread. What you want to know is whether your shop is below the median, stuck in the crowded middle, or already fighting for the long tail.
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
63.7%Checkout abandonmentMedian, all devices
CR distribution, n=117 brands
The median sits at 2.66%. The long tail starts above 7%.
4<0.5%
110.5-1%
221-1.5%
281.5-2.5%
192.5-3.5%
143.5-5%
95-7%
67-10%
310-15%
115+%
Source: DRIP benchmark dataset, 2026 Q1Median bucket highlighted
Benchmark mapping
Brands are grouped by category, funnel maturity, traffic mix and testing pace before anything gets compared.
Device economics
Mobile brings the traffic. Desktop still brings the margin.
Mobile owns the top of the funnel but earns less than its share of revenue, because browsing, reassurance and checkout all change on a small screen.
Traffic share vs revenue share
Mobile2.46% CR
Desktop3.93% CR
Tablet2.71% CR
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 gap
The biggest gap isn't technical. It's behavioural.
The best mobile programs don't just shrink the desktop page. They rebuild reassurance, comparison and checkout momentum around how people actually buy on a phone.
Cart abandonment
83.5% of carts never become orders
Most of it comes from doubt that shows up late: shipping costs, delivery dates, payment trust, returns and forced account creation.
Abandonment by device
93.3%mobile cart abandonment, median
- Desktop
- 73.1%
- Tablet
- 81.7%
- Mobile
- 93.3%
Top reasons shoppers leave
Exit surveys point to a late trust and cost problem.
Unexpected shipping cost49%
Forced account creation24%
Slow delivery promise19%
Complex checkout flow18%
Trust or payment concerns17%
Comparison shopping16%
A/B testing
Win rate says more about the research than the test
A win rate only means something when you know where the idea came from, how the test was powered, and whether the winner was worth shipping.
About 1 in 5A/B tests winindustry-wide
More than 50%of our A/B tests winevery hypothesis researched first
Psychological drivers
The benchmark tells you where. The driver tells you why.
Use the data to find the gap. Then match it to the need your page isn't meeting. That's when a benchmark turns into a test plan.
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?
Methodology
Useful benchmarks need a clean measurement protocol
These reports come out of the same research discipline we use to decide 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.
- Quarterly refresh cadence with outliers and incomplete data removed before publication.
Driver normalization
Benchmarks are read through customer motivation, funnel stage and page type before they turn into test ideas.
The math is the easy part.
Knowing what to test isn't.
Book a call and bring the numbers you just worked out. We'll look at where your shop stands and what testing could realistically add. If it doesn't add up for you, we'll tell you.
See if your shop is a fit
A free 30-minute call with the team. That's it.
The guarantee, in full
At least 10% more revenue in under six months, or month seven onward is free.
When you can predict what wins, you can promise the outcome. What counts as uplift, how it's measured, and what happens if we miss is written down in plain language.
We can promise it because we know our numbers: more than 50% of our A/B tests win, across 4,000+ documented experiments. That's when a guarantee stops being marketing and becomes underwriting.
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