Chapter 1 of 6 · Why lists fail
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Addresses in this video are examples. File verification needs a paid account.
Video transcript
Why lists fail
Every bulk list starts going stale the day you clean it. Here's how to clean it, sort it and keep it healthy. A big send that finishes on time proves very little. Your platform accepted the job. That doesn't mean each message reached a useful recipient. Old lists collect trouble. Duplicates. Formatting errors. Mailboxes that closed. Shared inboxes. Disposable domains. Catch-all domains. Each one is a different risk, so one delete button won't do.
Clean
Start with a controlled file. Export from your CRM, keep that export untouched, and work on a copy that records any earlier suppression. That way an old spreadsheet can't bring back someone you already removed. Fix formats and duplicates next, and go carefully. Merge automatically only on exact matches. Jen Smith and Jennifer Smith at one company could be two people on the same deal, so near matches go to a person. Keep a merge log, so you can undo a mistake. Then verify. Each check answers its own question. An MX lookup asks whether the domain can receive mail at all. An SMTP check asks the mail server about this mailbox, and no email is sent. Classification spots disposable, role and catch-all addresses. A yes from a server is a strong signal, but it isn't a promise. Mail systems can accept a message and filter it later, or change their policy after your check.
Segment
A result should lead to a decision. Valid goes to the normal campaign. Role gets a review, or a message written for a shared inbox. Catch-all is held for a careful test. Disposable is suppressed. Invalid leaves the active pool. Unknown gets its own group. It isn't a bad address. It means there was no reliable answer, so hold it for review rather than deleting it. Purpose matters too. A support inbox can suit a service announcement and still be wrong for a personal sales note. Verification tells you what an address looks like. The campaign tells you what to do with it. After that, segment on behavior. Purchase history, website activity, engagement and funnel stage say more than a job title. A repeat buyer shouldn't get a first-time prospect's email. Send to your most engaged group first, then work outward.
Two separate questions
Keep one more thing apart. A mailbox check says the address can receive mail. It doesn't record how you came to have it. So store those as two fields, with the source and date beside them, and never fold them into one valid label. The same goes for unsubscribes. An opt-out should reach every tool that sends for you, including the newsletter platform, the sales sequencer and the CRM.
Keep it healthy
Now keep it clean. Email lists decay by about 22.5% a year, so a list you verified last spring isn't the list you have today. For the CRM, score five things. Completeness, meaning blank fields. Uniqueness, meaning duplicates. Timeliness, meaning stale records. Validity, meaning bad values. And consistency, like two spellings of one country. Fix what touches revenue first. A contact on an open deal comes before a dormant lead from years ago. If a record sits in cold storage and affects nothing, it can wait. Then give it a rhythm. Log issues daily. Validate new records weekly. Review stale and conflicting records monthly. Run a deeper audit each quarter. And verify again right before any major send. After each campaign, write the bounces back onto the contact record, not just into a report. When you suppress someone, save the reason and the date. In BillionVerify, you upload the file, and the results come back with a status for each address, so you can export each group on its own. File verification needs a paid account. Treat every list as temporary data. Clean it, sort it, and check it again before it matters.
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