E-Commerce · Behavioral Economics · Data Study

We Analyzed 83 E-Commerce Stores. 88% Force Account Creation at Checkout.

Frictionless Research Live data · Updated continuously 83 stores analyzed

After running behavioral scans on 83 e-commerce stores — including Patagonia, Dr. Martens, Allbirds, Casper, Gymshark, Brooklinen, and Glossier — 88% force customers to create an account before completing checkout. This is the single most prevalent friction pattern in our dataset, and per Baymard Institute research it is the #1 driver of cart abandonment in e-commerce.

The finding

Frictionless runs deterministic behavioral scans on public e-commerce stores, scoring them across 23 friction patterns mapped to 7 psychological WHY-categories. As of today, the live benchmark dataset covers 83 stores spanning DACH origins and international DTC brands.

Across that dataset, "Forced Account Creation at Checkout" appears in 88% of stores. That makes it more prevalent than missing trust badges, hidden shipping costs, or weak value propositions. It is, by a clear margin, the most universal e-commerce friction pattern.

Why it matters: the conversion cost

Baymard Institute has measured the conversion impact directly. In their "Reasons for Cart Abandonment" survey of US adults who completed at least one online purchase in the prior 3 months, 24% cite "the site wanted me to create an account" as their reason for abandoning a cart.

For a Shopify store doing $1M/year in revenue, that translates to roughly $240,000 in annual revenue leaked to this single pattern. For a $10M store, $2.4M. The fix — guest checkout — has been measured in controlled Baymard tests to lift conversion 20–35%.

The psychology: why it kills conversion

In our 23-pattern framework, forced account creation maps to the Friction Anxiety WHY-category. Three psychological mechanisms compound at the moment a checkout asks for account-creation:

This triple-friction is why the pattern abandons cart at such consistent rates: it activates loss aversion, cognitive load, and System-1 decision-making simultaneously.

What stores in our dataset actually look like

Below are 8 brands from our scan dataset that score Critical or Poor on this and related Friction Anxiety patterns. Score is out of 100 (higher is better). Tier breakdown: Critical < 40, Poor 40–59, Fair 60–79, Good 80+.

BrandScoreTier
Snowe28Critical
Backcountry35Critical
Quip37Critical
Dr. Martens37Critical
Patagonia37Critical
Tower2838Critical
Spindrift39Critical
Wisp40Poor

Note that brand prestige is no protection: Patagonia and Dr. Martens both score Critical on behavioral friction, including forced account creation at checkout. Premium positioning does not exempt a brand from System-1 abandonment dynamics.

The fix: three options ranked by impact

1. Add guest checkout (Baymard's top recommendation). Allow users to complete checkout with just an email — no password creation. Offer optional account-creation AFTER the order is placed, when the friction is gone. This is the highest-impact fix, measured 20–35% conversion lift in controlled tests.

2. Add social login (lower-friction account creation). "Sign in with Apple" or "Sign in with Google" reduces account-creation cognitive load to a single tap. Best for stores that genuinely need account ownership (subscriptions, returns workflows).

3. Reframe account creation as a benefit, not a requirement. If you absolutely must require an account, defer the ask until after first purchase. "Save your order details for next time?" post-checkout converts far better than "Create an account to checkout" pre-checkout.

How does your store rank on this pattern?

Scan your store with Frictionless to see how it scores against the 83 stores in our benchmark — across all 23 friction patterns, not just account creation. Results in 60 seconds.

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Methodology

Frictionless analyzes public-facing pages of e-commerce stores against a deterministic 23-pattern framework grounded in published behavioural-economics research (Kahneman, Cialdini, Baymard, Norman, Schwartz). Each store contributes one data-point (its most recent scan); duplicate scans of the same store are deduplicated. The dataset grows continuously as new stores are added to the research and as users initiate their own scans via frictionlessai.net. All findings are reported in aggregate; individual store scores are not published as a leaderboard. Full methodology and the live N count are at frictionlessai.net/benchmarks, and the public API is documented at /developers.

Sources: Baymard Institute (cart abandonment research, ongoing); Kahneman & Tversky (1979) Prospect Theory; Sweller (1988) Cognitive Load Theory; Kahneman (2011) Thinking Fast and Slow. Brand scores are from Frictionless live scans as of 2026-05-15T18:21:00.366523Z.

Related reading: The 23 Friction Patterns Framework · The 50ms Trust Test · DACH Checkout Friction