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Bulk Verification
Clean an entire list before your next campaign
Upload a CSV and get a status for every address: Valid, Invalid, Catch all, or Unknown. You'll know what to send, what to suppress and what to review before anything leaves your outbox.

A big list can hide a small leak
Most list problems do not look dramatic inside a spreadsheet. They show up later as bounces, messy segments, wasted sends, and teams wondering why a campaign underperformed.
Raw CSV workflow
A raw export can make a team feel ready because the file looks full. Under the surface it mixes active buyers with stale roles, old jobs, throwaway signups, invalid domains, duplicates and unresolved catch-all rows. The campaign starts with volume, but not clarity.
Verified list workflow
The same file becomes clear result groups before the send. Teams see which rows are Valid, Invalid, Catch all, or Unknown, then decide what moves forward, what gets suppressed and what needs review, instead of treating the whole CSV as one equally safe audience.
Single Verification
Verify one email before you act on it
Check an individual address before you send a message, create a contact, update your CRM or move a lead into the next step.
01
Check the address
Review syntax, domain and mail signals before the address enters an important workflow.
02
Get a clear status
Receive Valid, Invalid, Catch all or Unknown.
03
Take the next action
Keep the contact moving, correct it, remove it or send it to review.

Four results,
four different decisions
Every file comes back split into these groups. Each one calls for a different action.
Status
What it means
Typical handling
Valid
The mailbox exists and the server accepted it.
Send. This is your clean segment.
Invalid
The address doesn't exist or the domain can't receive mail.
Suppress. Sending here is what causes hard bounces.
Catch all
The domain accepts mail for any address, so the mailbox can't be confirmed.
Segment separately. Test in small batches on low-risk campaigns.
Unknown
The server gave no definitive answer: greylisting, rate limiting or anti-probing.
Hold for review. These never cost you a credit.
Clean the file before launch
Bulk cleaning is not just a pre-send chore. It is the moment a team decides which contacts deserve volume, which should be removed, and which need a cautious test before launch.
01
Upload the file
Add the CSV or TXT list you want to verify, whether it came from a CRM export, newsletter database, event list or outbound prospect source.
02
Review the breakdown
See how the file separates into Valid, Invalid, Catch all, and Unknown before the campaign or import goes live.
03
Export usable segments
Move valid contacts forward, suppress clear invalids, and route uncertain contacts into a review or lower-risk sending path.
Built for real list work
CSV and TXT upload
Clean exported files from CRMs, lead databases, event lists, newsletters or partner sources without checking every address one by one.
Segmented result groups
Separate Valid, Invalid, Catch all, and Unknown contacts so each group gets the right treatment instead of one risky bulk decision.
Re-import ready output
Bring cleaner segments back into campaign, CRM or agency workflows with less manual cleanup and clearer list-quality reporting.
What to expect
before you upload
What goes in, what comes out, and what happens to your data.
Going in
Your file
File formats
Forms, CRMs, spreadsheets and file drops: anything already running in your stack.
Column mapping
Detected automatically
Processing time
30–45 minutes for 100,000 rows
Coming out
Your results
Result groups
Valid, Invalid, Catch all, Unknown
Duplicates
Detected and flagged in the output
Unknown results
Never charged. 0 credits
Your data
What we do with it
In transit
Encrypted
Use
Used for verification only
Sharing
Never sold, shared or resold as data
Above 2% bounces,
Gmail stops asking politely
Bounce rate used to be a soft metric. Gmail now permanently rejects senders that cross a 2% hard-bounce rate, and Microsoft enforces the same limit. That turns list hygiene from good practice into a condition for reaching the inbox at all.
2
%
Hard-bounce ceiling at Gmail and Microsoft
20–30
%
Annual decay of an untouched B2B list
90
days
After which a list is worth re-verifying
FAQs
Questions about Bulk Validation
How often should I verify my email list?
Verify before every campaign send, especially if the list includes third-party data from Apollo or ZoomInfo. B2B email data decays at 20–30% annually, meaning a list verified six months ago may already contain a significant percentage of invalid addresses. Any list inactive for 90 or more days should be fully re-verified before reactivation.
How long does it take to clean a CSV with 100,000 emails?
When using a high-performance bulk validation service, a file containing 100,000 rows typically takes between 30 and 45 minutes to process entirely, depending on the response times of the global receiving mail servers at that exact moment.
Why can't I just use Excel to clean my email list?
Spreadsheet software can only perform basic text formatting checks (like looking for spaces or missing "@" symbols). Excel cannot connect to external mail servers to verify if a user's inbox is active, full, or disabled. You need an active network tool to prevent hard bounces.
Is it secure to upload my customer data to a bulk validator?
Yes. Your file is processed in memory, results are encrypted, and the original CSV is purged from our servers shortly after cleaning completes. We never sell or share the data, and it is never used to build a marketing database.
What formats do you accept for bulk uploads?
We accept standard CSV (Comma Separated Values) and TXT files. You do not need to format your columns perfectly; our system automatically detects the column containing the email addresses and ignores the rest of your data to ensure a smooth upload process.
USE CASE
Verify email addresses before they become bounced sends
Check whether an email address is properly formatted, connected to a working domain, and safer to contact before you send or store it.
01
Enter the email address you want to verify
02
Receive a Valid, Invalid, Catch all or Unknown result
03
Decide whether to send, suppress or review the address
Best for:
Checking one contact at a time


