Contact Cleaner
- Checks hard-bounce reasons such as User Not Found and Invalid Domain
- Identifies opted-out / do-not-email contacts
- Finds missing or invalid email addresses
- Detects exact duplicate rows and repeated email addresses
- Splits Customer Name into First Name and Last Name when needed
- Preserves original data and adds clear cleaning status/reason fields
Ready to Use
0
No suppression rule triggeredSuppressed
0
Email should not be usedNeed Review
0
Requires a human decision1
Upload your fileChoose a CSV or Excel (.xlsx) contact list.
2
Choose duplicate handlingDecide whether repeated emails should stay, be removed, or be consolidated.
3
Analyze and downloadUse the cleaned file or keep every row with discrepancies clearly marked.
How should duplicate email addresses be handled?
This only controls the cleaned download. The annotated review file always keeps every original row so nothing is lost.
Cleanup breakdown
Why records were flagged
A record is counted once in the top cards, but it may contain more than one issue below.
Duplicate cleanup
Exact duplicate rows detected0
Duplicate email groups found0
Rows affected by repeated email0
Rows consolidated/removed in clean file0
Choose the output you want
Cleaned file applies your duplicate choice and excludes suppressed records. Annotated full file keeps every original row and adds cleaning status, reason, duplicate group, and recommended action so a person can make the final decision.
Name cleanup: existing FIRST_NAME and LAST_NAME values are preserved. When either is blank, the tool attempts to fill it from CUSTOMER_NAME. The original CUSTOMER_NAME remains unchanged.