Clean a list before your next campaign

Upload a CSV and get a result for every address, a quality score for the list, and clean files to import back.

Fig. 1One file, four actions

Input: CSV, one address per row
Duplicates: Found and grouped
Output: A result and an action per row
Export: Safe, fixed, review, drop

§ 1

Why it matters

Old lists hurt your sender reputation

People change jobs, mailboxes close, and typos pile up. When too many messages bounce, mailbox providers send the rest to spam.

Find the addresses that will bounce before your email platform does.

Fig. 2Without and with Verifier

WithoutWith Verifier

Without: Duplicates and typos go out with the campaign.With Verifier: Duplicates are grouped, and typos get a corrected address.
Without: Each bad row costs a send and adds to the bounce rate.With Verifier: Each row gets one action: keep, fix, review, or drop.
Without: Someone fixes the file by hand in a spreadsheet.With Verifier: You import a clean file back into your platform.

§ 2

How it works

Upload, check, and export

Upload a CSV, and we check every address. You get a list quality score, the result for each row, and a fix plan you can export.

2.1Upload a CSV from your CRM or email platform.
2.2Review the quality score and the results by category.
2.3Export the rows to keep, fix, review, or suppress.

Fig. 3Rows in, actions out

newsletter.csv

email,first_name[email protected],Ada[email protected],Sam[email protected],[email protected],Lee

Export · all rows

original_email,effective_email,remediation_classification[email protected],[email protected],safe[email protected],[email protected],fixed[email protected],[email protected],review[email protected],[email protected],drop

Export columns trimmed · your own columns stay in the file

§ 3

What you get

What you get.

3.1A fix plan, not only a labelEach row gets a recommendation: keep it, fix it, review it, or suppress it. Duplicates are flagged too.
3.2List quality scoreSee the share of valid, risky, invalid, and unknown addresses, so you can compare lists and sources.

Table 3 · Export files

File	Rows in it
safe	Rows to keep as they are.
fixed	Rows with a corrected address, such as a fixed domain typo.
review	Rows to look at before you send.
drop	Rows to suppress.
all	Every row, with its result and its action.

§ 4

In practice

Typical uses.

Case 4.1
Before a launch email
Clean the full list the day before a big send.
Case 4.2
After an event
Check badge-scan and signup exports before they enter your nurture flow.

Works with the tools you send from.

All integrations

Questions

Before you start.

What file format do you need?

A CSV with one address in each row. Other columns are kept in the export.

Can I see why a row was removed?

Yes. Each row keeps its category, score, and reason codes.

Old lists hurt your sender reputation

People change jobs, mailboxes close, and typos pile up. When too many messages bounce, mailbox providers send the rest to spam.

Find the addresses that will bounce before your email platform does.

Fig. 2Without and with Verifier

WithoutWith Verifier

Without: Duplicates and typos go out with the campaign.With Verifier: Duplicates are grouped, and typos get a corrected address.
Without: Each bad row costs a send and adds to the bounce rate.With Verifier: Each row gets one action: keep, fix, review, or drop.
Without: Someone fixes the file by hand in a spreadsheet.With Verifier: You import a clean file back into your platform.

Upload, check, and export

Upload a CSV, and we check every address. You get a list quality score, the result for each row, and a fix plan you can export.

2.1Upload a CSV from your CRM or email platform.
2.2Review the quality score and the results by category.
2.3Export the rows to keep, fix, review, or suppress.

Fig. 3Rows in, actions out

newsletter.csv

email,first_name[email protected],Ada[email protected],Sam[email protected],[email protected],Lee

Export · all rows

original_email,effective_email,remediation_classification[email protected],[email protected],safe[email protected],[email protected],fixed[email protected],[email protected],review[email protected],[email protected],drop

Export columns trimmed · your own columns stay in the file

What you get.

3.1A fix plan, not only a labelEach row gets a recommendation: keep it, fix it, review it, or suppress it. Duplicates are flagged too.

3.2List quality scoreSee the share of valid, risky, invalid, and unknown addresses, so you can compare lists and sources.

Table 3 · Export files

File	Rows in it
safe	Rows to keep as they are.
fixed	Rows with a corrected address, such as a fixed domain typo.
review	Rows to look at before you send.
drop	Rows to suppress.
all	Every row, with its result and its action.

From a raw listto a safe send.

Clean a list before your next campaign

Old lists hurt your sender reputation

Upload, check, and export

What you get.

Typical uses.

Works with the tools you send from.

Before you start.

From a raw listto a safe send.

Clean a list before your next campaign

Old lists hurt your sender reputation

Upload, check, and export

What you get.

Typical uses.

Works with the tools you send from.

Before you start.