Cleaning a purchased list, and why it stays risky

How the list got this way

  • The file was bought from a data vendor whose collection method is not disclosed and cannot be audited.
  • It was scraped from directories and company websites, where published addresses attract harvesters and get recycled into traps.
  • It was traded or inherited from a partner, several owners removed from whoever first collected it.
  • It was compiled from a breach or an aggregated dump, which is where the highest concentration of dead addresses and traps lives.

Spam traps are the part cleaning cannot reach

A recycled trap is an abandoned address a provider reactivated to catch senders mailing stale data. Those sometimes reject during a dormant period and can be caught by heuristic, flagged as likely rather than certain.

A pristine trap was never a real mailbox. It sits where only a harvester would find it. Its whole job is to catch senders who did not collect their own list, and at the protocol level it accepts mail just as a working mailbox does.

No verifier detects pristine traps. Anyone claiming to remove spam traps means the recycled kind, or is selling a guess as a fact. One pristine hit can get a sending IP blocked, and cleaning does nothing to stop it.

What a check removes, and what it leaves

Both columns matter. A verifier that only advertises the left one is describing half the job.

Removed by checkingStill there afterwards
Rejected addresses, of which bought files usually carry a high share, since age is what makes them cheap.Detect pristine spam traps, which are the specific risk this kind of file carries and are undetectable by anyone.
Dead and parked domains from companies that no longer exist.Establish consent. Deliverability and permission are unrelated, and only one of them is a legal question.
Disposable and obviously fabricated rows used to pad a file to the count that was sold.Predict complaint rate, which on a list nobody opted into is the metric that actually ends the sending domain.
Duplicates, including the same address appearing across several purchased segments.Make the file legal under GDPR, CAN-SPAM or CASL. The rules differ by country and none of them care that an address works.

What to do instead

  1. Ask the vendor how the addresses were collected

    A vendor who cannot answer in specifics has told you what you needed to know. The answer sets your legal position as well as your deliverability.

  2. Check a sample before buying the rest

    A few thousand rows reveal the file's real state. A rejection share far above a normal business list means you are buying data that was already dead when it was priced.

  3. Never send it from your primary sending domain

    Trap hits and complaints attach to the domain and IP. Keep this traffic away from the infrastructure your transactional mail depends on.

  4. Start small and watch the complaint rate

    Complaints, not rejections, are what ends a sending reputation on this kind of file. A few hundred at a time tells you early enough to stop.

Questions people ask

Can verification remove spam traps from a purchased list?

Not the pristine ones, which are the dangerous kind. They were never real mailboxes, and they accept mail just as a working address does. No verifier can pick them out. Likely recycled traps can sometimes be flagged, and we label those as likely rather than certain.

Is it legal to email a purchased list?

It depends on where you are, and we are not the right source for a legal answer. GDPR asks you to show a lawful basis, and a bought file rarely gives you one. Verification has no bearing on the question either way.

Why do purchased lists bounce so heavily even after cleaning?

Cleaning is a snapshot of the moment it ran. A file sold repeatedly has usually been dead for a while, and the rows that still accept mail include catch-all domains where acceptance proves nothing.

What share of a bought list is typically unusable?

We have no figure of our own to offer and will not invent one. Check a sample and measure yours, which is the only number that describes the file in front of you.

Measure your own list before you clean it

100 free checks a month, no card. The rows we could not get an answer on come back labeled rather than guessed at, and we never bill for them.