How Often Should You Clean Your List?
Email lists go stale faster than most teams assume. This guide gives a verification cadence based on send frequency, list source and how much deliverability risk you can tolerate.
Practical guides on reducing bounces, improving inbox placement, and building better email practices.
Email lists go stale faster than most teams assume. This guide gives a verification cadence based on send frequency, list source and how much deliverability risk you can tolerate.
List hygiene is the cheapest insurance policy in email marketing - and the one most teams skip. This piece walks through exactly what a dirty list costs you: in reputation damage, in revenue, in recovery time, and in the new Gmail/Yahoo bulk-sender rules that took effect in 2024. With real numbers and a break-even calculation.
Catch-all domains accept mail to literally any address - alice@, bob@, gibberish123@, all return 250 OK at the SMTP layer. Then they silently drop the unknown ones. This is why your 'verified' lists still bounce. Guide covers why catch-all exists, how to detect it, and the right way to send to catch-all domains.
Spam traps are the silent killers of email reputation. One hit can drop your inbox placement for 30+ days. This guide breaks down the 3 trap types, how they end up in lists, and the workflow to keep them out.
Deep-dive guides on how email verification and inbox placement work
Email list hygiene guide: when to clean, how to remove disposable, catch-all, and spam trap
File prep, result fields, catch-all scoring, segmentation tiers, re-verify schedules, ROI math
Quarterly B2B email deliverability research
Real lessons from the first cohort
Every term defined: catch-all, greylisting, MX, SPF, DMARC, spam trap and more
How verification works - the 5-stage pipeline, accuracy, and use cases
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