Use cases
Each page here is one job with a trigger and an end: the order the work happens in, what to do with every result, and the point at which you are finished.
These are deliberately not descriptions of who you are. Whether you run an agency or a shop, the job of cleaning a file before it lands on a new platform is the same job, and the mistakes people make doing it are the same mistakes. For pages organized by who you are, the solutions section does that instead.
Every page says what the work will not fix. Catch-all domains stay unresolvable by anyone, pristine spam traps stay undetectable, and a clean list does nothing for a broken authentication record. Work out which one you have. That decides whether any of this helps, and diagnosing a delivery failure is where that starts.
API Signup Validation
The integration decisions that matter when you verify from your own backend: timeouts, failing open, what to store, and which result should never block a user.
Bulk Email List Cleaning
A large import is the moment to clean, because a CSV is easy to fix and a live database is not. The order of operations that keeps the bill down.
Catch-All Email Handling
Catch-all domains accept every address, so nobody can confirm the mailbox. What to do with them depends on the send, and guessing is not one of the options.
Clean a List Before Migration
Moving to a new email platform starts your sending reputation from scratch. Clean the file before the import, not after the first campaign fails.
Cold Email Deliverability
Cold lists carry no engagement history, so every bounce counts double. What to check before a sequence starts, and the part of the problem verification cannot touch.
CRM Data Quality
Bad addresses in a CRM waste rep time, skew pipeline reporting and follow contacts through every integration. Cleaning one is a different job from cleaning a list.
Disposable Email Blocking
Disposable domains are detected by a list, which makes the detection honest and the list perpetually incomplete. When blocking helps and when it costs you users.
Email Deliverability Recovery
When campaigns stop landing, the cause is authentication, reputation, content or the list. Diagnose in that order, because cleaning fixes only the last one.
Email Duplicate Removal
Exact matching misses most duplicates. Gmail dots, plus tags and alias domains disguise one mailbox as several, and each one costs you twice.
Email List Hygiene
The rules that keep an email list clean without anybody remembering to clean it: suppression on first failure, a sunset policy, and a scheduled check.
International List Cleaning
Provider mix changes by country, and so does what a verifier can tell you. What shifts when your list is not mostly Gmail and Outlook.
Monthly Email List Maintenance
A short recurring routine keeps a list healthy: read three numbers, act on the suppressions, and verify the segment about to be mailed cold.
Pre-Send Email Validation
A large campaign is the worst time to discover a data problem. The short list of things worth checking in the hour before a send.
Purchased List Audit
Before a bought list touches your sending domain, sample it and find out what you actually have. The answer is frequently that it should not be mailed at all.
Re-engagement Campaign Prep
A win-back campaign mails the people most likely to have gone. Verify first, send to a sample, and decide with evidence whether the rest is worth the risk.
Reduce Your Email Bounce Rate
An email bounce rate above 2% puts your sending account at risk. What actually moves the number, in the order that works, and what verification will not fix.
Role Account Filtering
Role addresses like info@ and sales@ reach a shared mailbox. Whether to remove them depends entirely on what you are sending and to whom.
Sender Reputation Repair
A damaged sending reputation recovers through weeks of small sends to people who engage. Cleaning the list is a precondition, not the cure.
Signup Form Protection
Every bad address on your list arrived through a form. Catching a typo while the person is still looking at the field beats cleaning it up months later.
Spam Trap Avoidance
Pristine spam traps are undetectable by any verifier. What actually lowers your exposure is where the addresses came from and how old they are.
Start with the file you have
100 free checks a month, no card, credits that never expire. Addresses we could not get an answer on come back labeled rather than guessed, and those are not billed.