Frictionless DACH Benchmark · 20 stores audited · live data

The State of E-Commerce Friction

Behavioral economics benchmarks from a research audit of 20 German-speaking e-commerce stores. Where the average store fails psychologically, which friction patterns are most common, and how your store compares. Methodology grounded in Kahneman, Cialdini, and Baymard research.

Sample size: N = 20
Methodology: 7 friction categories · 23+ patterns
Updated: live
Methodology note. The Frictionless DACH Benchmark is built from automated friction analysis of public-facing pages of e-commerce stores in the German-speaking market — major direct-to-consumer brands and mid-tier shops. Each store contributes one data point (its most recent scan); duplicate scans of the same store are not double-counted. The dataset grows continuously as more stores are added to the research and as users initiate their own scans via frictionlessai.net. All benchmarks are reported in aggregate; individual store scores are not published.
Section 01 · Score Distribution

Where do most stores fall?

Frictionless Score from 0 to 100 across all 20 scanned stores. Higher is better. Most stores cluster between Critical and Poor — meaning they leave significant conversion on the table.

Average Score
54.3
across 20 stores
Median Score
57.0
50th percentile
Top 10% (P90)
68.1
healthy stores threshold
Bottom 10% (P10)
42.8
critical-friction stores
Critical (0-24)
2 (10.0%)
Poor (25-49)
4 (20.0%)
Fair (50-74)
14 (70.0%)
Good (75-100)
0 (0.0%)
Section 02 · Friction Category Prevalence

Which psychological frictions are most common?

Across the 20 stores in the dataset, this is the percentage where each WHY category was detected as a HIGH or CRITICAL friction. Trust signals and decision clarity are the most consistently absent.

Friction Anxiety
15.0%
0 critical 3 high 70.0% any-severity
Urgency Absence
15.0%
0 critical 3 high 65.0% any-severity
Decision Paralysis
10.0%
0 critical 2 high 70.0% any-severity
Value Ambiguity
10.0%
0 critical 2 high 65.0% any-severity
Trust Deficit
5.0%
0 critical 1 high 70.0% any-severity
Price Resistance
5.0%
0 critical 1 high 65.0% any-severity
Mobile Friction
0.0%
0 critical 0 high 65.0% any-severity
Section 03 · Top Friction Patterns

The 15 most common friction patterns

Specific patterns Frictionless detects most often, ranked by prevalence across the 20 stores in the dataset. Each maps to a behavioral mechanism with documented research basis.

#
Pattern
Category
Prevalence
1
Forced Account Creation at Checkout
FRICTION ANXIETY
60.0%
2
No Sticky Add-to-Cart on Mobile
MOBILE FRICTION
50.0%
3
Value Ambiguity: room to optimize
VALUE AMBIGUITY
40.0%
4
Cognitive Load
30.0%
5
Payment Anxiety
30.0%
6
Urgency Absence: room to optimize
URGENCY ABSENCE
30.0%
7
Shipping Cost Hidden Until Checkout
PRICE RESISTANCE
25.0%
8
Reviews Not Positioned Near Add-to-Cart
TRUST DEFICIT
25.0%
9
Social Proof Placement
20.0%
10
Trust Deficit
20.0%
11
Price Resistance: room to optimize
PRICE RESISTANCE
20.0%
12
Checkout Form Has Too Many Fields
DECISION PARALYSIS
20.0%
13
Decision Paralysis: room to optimize
DECISION PARALYSIS
15.0%
14
No Return Policy Visible
TRUST DEFICIT
15.0%
15
No Urgency Signal on Product Pages
URGENCY ABSENCE
15.0%
Cite this
Use Frictionless data in your work
Writing a CRO blog post, agency proposal, or research paper? Cite the live benchmark below. The numbers update as our sample grows.
Frictionless DACH Behavioral Benchmark (live, N = 20 stores audited). Available at frictionlessai.net/benchmarks. Methodology: WHY Framework v1, automated friction analysis of public-facing e-commerce pages, grounded in Kahneman, Cialdini, Baymard.
View as JSON API documentation
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