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Original biller controls cancellation
→Official records reveal patterns in billing, equipment, account closure and company responses. They do not prove that every complaint is accurate—or that a company is difficult to cancel.
CancelScore is based on the company’s verified cancellation process. Complaint records help us find patterns and decide what to investigate; they never change a score by themselves.
A 0–100 industry benchmark built from the same documented process evidence used by CancelScore. Higher means more friction.
Switch views to compare online availability with the requirements people most often encounter.
Based on 200 published guides with complete scoring evidence. “Online” includes a company or original-biller account route.
Sort the table to see where notice, commitments and aftercare create the greatest burden.
Friction can appear before, during and after the request. A single guide may contain requirements at several stages.
Original biller controls cancellation
→Must contact support
→Advance notice required
→Contract or remaining-balance risk
→Equipment or multi-step aftercare
→Confirmation and final bill to retain
The FCC file supports comparisons by service and issue—not by company. Counts below cover selected billing and equipment reports since October 2014.
These are consumer-selected, unverified allegations. Different customer bases make raw company comparisons inappropriate.
Switch between phone, internet and television. The chart combines billing and equipment reports and marks incomplete periods instead of smoothing them away.
FTC Consumer Sentinel aggregates show broad market direction. They include reports from multiple contributors and are not cancellation-only counts.
Percent change compares 2022 with 2024. Raw report volumes should be interpreted alongside market size and reporting behavior.
FTC fraud data is broader than cancellation. It adds useful context about who reports losses and where reports are concentrated.
Download the industry friction table and obstacle breakdown used in this report. The file includes coverage counts so the figures can be interpreted responsibly.
The public datasets operate at different levels. Keeping those boundaries visible prevents misleading rankings.
Compare billing and equipment problems across phone, internet and television services.
Use like-for-like monthly and annual comparisons rather than a single lifetime total.
Compare broad FTC categories without turning consumer allegations into company rankings.
Use public records to find patterns, then verify cancellation rules from primary sources.
Complaint datasets are not representative consumer surveys. Company size, market share, reporting behavior and dataset coverage all affect the totals.