Insights
Cancellation friction, in aggregate
What 2075 cited company records say in the aggregate — where the cancel journey breaks, which industries trap you, and how far "easy in, hard out" really goes. Every chart is Documented-Policy tier (cited public pages); Verified-Flow behaviour audits are pending, so these describe what companies publish, not yet what they do. The same numbers are machine-readable at /api/v1/insights.json.
Context
The state of cancellation in 2026
Why a Cancellation Friction Index exists — and why this page measures what 2,075 companies publish, set against what the law, the research, and regulators say. All figures below are externally sourced; the charts that follow are Cancel Atlas’s own computed data.
Regulation is in flux — and the headline US rule is not in force.
The FTC's federal “Click-to-Cancel” rule was vacated by the 8th Circuit on 8 Jul 2025 (procedural grounds) and is not law; the FTC reopened rulemaking in 2026. Meanwhile California's Automatic Renewal Law (live 1 Jul 2025) and the UK's DMCC subscription regime (≈Spring 2027) do mandate easy, same-channel cancellation. Which rules bind you depends on jurisdiction — which is why every Cancel Atlas score is tagged per jurisdiction. Sources: 8th Cir. vacatur · California ARL · UK DMCC.
The harm is large, recurring, and mostly invisible to the people paying it.
US consumers underestimate their own subscription spend by about $133/month (guess $86 vs actual $219), 42% have forgotten an active charge, and only about 24% rate cancelling “very easy.” FTC negative-option complaints ran ~70/day in 2024, up from ~42/day in 2021. Sources: C+R Research · West Monroe · FTC.
The friction is asymmetric by design — and now measured.
Peer-reviewed research (CHI 2024) clocked subscription cancellation at 6.2 clicks vs 4.3 to subscribe in the EU (3.5→5.8 in the US; one outlet took 10 clicks to leave). Large-scale audits find 76–97% of sites use at least one dark pattern, with “obstruction” / hard-to-cancel among the most common. The principle regulators now codify: leaving should be as easy as joining. Sources: Staying at the Roach Motel, CHI 2024 · OECD · Dark Patterns at Scale.
Enforcement is catching up — and validates naming names.
Amazon settled the FTC's Prime-cancellation case for $2.5B in 2025 over its “Iliad” cancel maze; Adobe (DOJ), Uber One, Match/Tinder, Cerebral, ABCmouse and others face or have settled similar actions. When a regulator has already documented a company's friction, an adverse grade rests on public record. Sources: Amazon $2.5B · FTC dark-patterns report.
Full cited synthesis: see the methodology notes. Cancel Atlas turns this diffuse, well-documented harm into per-company, per-jurisdiction, dated, cited evidence — the gap no neutral, machine-readable index has filled.
Distribution
How the 2,075-strong index grades out
Most companies land at B/C on documented transparency. A grades are rare (a clear, self-serve, well-disclosed exit); F grades mark phone-only or undisclosed terms. Documented-Policy tier — behaviour audit pending.
Easy in, hard out
The asymmetry: joining vs leaving
Signing up is almost always one online click. Leaving isn't: 223 companies (11%) offer no online cancellation at all, and 29% make a phone call one of the only ways out. That gap — easy in, hard out — is the core of the index.
Where it breaks
The weakest part of the cancel journey
Averaged across the whole index, self-serve cancel paths are the weakest dimension (69.2/100) — companies disclose that you can cancel more clearly than they give you a button to do it. In fact 176 companies (8%) publish no findable direct cancel path at all. Weighted: cancel-path 30, channels 20, notice 15, refund 15, findability 20.
By industry
Hardest and easiest industries to leave
Mean documented score per industry (≥8 companies), hardest at top. The pattern is consistent with the thesis: contract/phone-gated categories (insurance, telecom, gyms) trail self-serve software/streaming. Category mix matters — see the jurisdiction caveat below.
Machine-readable signals
Structured signals, at a glance
These are the first machine-readable structured signals (/api/v1/signals.json) — derived per record from its cancellation channels, links, and pause data, for the agents and tools that increasingly cancel subscriptions on people's behalf. Pricing model across the index: 2,029 recurring, 43 one-time/lifetime, 3 hybrid. Deeper text-extracted signals (refund-claim conflicts, retention walls, notice windows) are in development.
Refunds
What happens to your money when you leave
Where a refund stance is documented, “no refund” is the most common (32%); 20% offer a conditional/windowed refund, and 48% publish no refund stance at all (an absence, not necessarily a denial). On notice: of 566 companies with a documented posture, 449 let you cancel anytime and 117 impose an advance-notice window. The source-page pass re-fetched 1,251 of 2,075 records' cited URLs (60% readable), adding source-verified governing law (304 named), arbitration clauses (327), and EU-withdrawal waivers. A cross-page heuristic flagged 129 possible marketing-vs-terms conflicts; on editor review 5 were genuine contradictions — the rest were consistent conditional policies (a money-back window with non-refundable exceptions), deliberately not published. Machine-readable at /api/v1/signals.json.
Documented by regulators
Enforcement-anchored: companies a regulator has named
- Amazon Prime B · FTC 2025 · $2.5B · final
Deceptive Prime enrollment + a deliberately obstructive cancellation flow ('Iliad'). source ↗ - Hinge B · FTC 2025 · $14M · final
Operated by Match Group (subject of the FTC cancellation/auto-renewal action); brand-level attribution. source ↗ - Match.com C · FTC 2025 · $14M · final
Match Group (Match.com): deceptive notices + confusing/obstructed cancellation. source ↗ - OkCupid B · FTC 2025 · $14M · final
Operated by Match Group (subject of the FTC cancellation/auto-renewal action); brand-level attribution. source ↗ - Tinder C · FTC 2025 · $14M · final
Operated by Match Group (subject of the FTC cancellation/auto-renewal action); brand-level attribution. source ↗ - ABCmouse B · FTC 2020 · $10M · final
Age of Learning: undisclosed auto-renewal + obstructed cancellation. source ↗ - HelloFresh C · State (CA ARL) 2024 · $8M · final
Automatic Renewal Law class settlement over auto-renewal disclosure/cancellation. source ↗ - The Washington Post C · State (CA ARL) 2024 · $7M · final
Jordan v. Washington Post: Automatic Renewal Law class settlement over auto-renewal/cancellation. source ↗ - Adobe Creative Cloud B · DOJ/FTC 2024 · — · pending
Hidden early-termination fees on the annual-paid-monthly plan + obstructed cancellation. source ↗ - Cerebral B · FTC 2024 · — · final
Advertised 'cancel anytime' but imposed a multi-day cancellation process; $5M+ refunds to 40,000+ consumers. source ↗ - LA Fitness D · FTC 2025 · — · ongoing
In-person/weekday-only cancellation via an often-absent manager across 600+ locations (3.7M members). source ↗ - Uber One C · FTC 2025 · — · ongoing
Uber One cancellation reportedly required up to 23 screens / 32 actions; 21 states + DC joined. source ↗
These 12 companies have a government (FTC/DOJ/State-AG) or court-approved settlement specifically about cancellation difficulty or deceptive auto-renewal — their friction is established public record, not Cancel Atlas’s opinion. Note the tension: several grade B/C here on documented policy (e.g. Amazon Prime — yet fined $2.5B for its actual cancel flow). That is the disclosure-vs-behaviour gap our pending flow audit is built to close: what a company publishes and what it makes you do can diverge sharply. Each row links the official source. Machine-readable in /api/v1/signals.json (regulatory_action). Penalty figures are as reported; verify against the primary docket. Pending/ongoing matters are labelled.
Transparency
Which official policy pages are cited
Every record cites a cancellation page; far fewer surface a dedicated refund, terms, or privacy page. Low coverage means “not published or not yet recorded,” not a definitive negative — these links never affect the score.
Pause instead of cancel
Where you can freeze rather than quit
A pause option can be genuine flexibility — or a retention nudge that keeps you subscribed. Shown per industry (≥8 companies); informational, not scored.
By jurisdiction
Average score by market (read with care)
Directional only — heavily category-confounded. A market's average reflects which kinds of companies we’ve indexed there as much as its law. The rigorous law-effect comparison needs same-category pairs (e.g. German vs US gyms, where Germany’s mandated cancel button moves the score within the same category). Treat this as a coverage map, not a league table.
Freshness
How current the index is
100% of the index was checked within the last 30 days. Freshness is measured against the most recent verification date; this view surfaces decay as records age between re-checks (the weekly snapshot + planned auto-freshness engine keep it current).
Evolution
How the index is changing over time
Tracking began 2026-06-10 (1 snapshot so far). Every weekly snapshot records the full metric set — grades, dimension means, asymmetry, coverage, pause, and per-industry & per-jurisdiction averages — to data/snapshots/metrics.ndjson and the public trends API. The first evolution line chart appears at the next snapshot. Baseline: mean score 68.6 · 17 A-grades · 6% with no online cancel.
The transparency floor
Companies with no published cancellation page
- Nessie (nessielabs.com) · AI tools · US · checked 2026-06-12
- PlugMotors (plugmotors.com) · Automotive · FR · checked 2026-06-11
- Unosend (unosend.co) · Software / SaaS · US · checked 2026-06-13
A clear, self-serve cancellation page should be table stakes. These 3 companies we checked publish no findable cancellation page at all — so there is nothing to grade. This is the absence of a policy, not an F (an F is a poor documented policy). We name them to push the standard forward, and we will score each one the day it publishes a real cancellation page. Listed a company in error? Show us the page and we'll grade it. Machine-readable at /api/v1/no-policy.json.
Generated 2026-06-04 from the live index (2075 companies). Charts are statements of opinion grounded in dated, cited public facts, computed from a published methodology; they never alter any company's score. Found an error? Submit a correction.