Data Validation & Cleansing

Request a quote based on the file size and checks you need: company status, contact roles, email validity, duplicate matching or other fields. The quality of the starting file and the depth of manual review affect the scope. Confirm how reviewed, unresolved and duplicate records are counted rather than assuming one standard per-record price.

Turnaround depends on record volume, the checks required and how many records need manual resolution. Supply a sample, your intended use date and any priority segments when requesting a schedule. A simple validity check and a full company-and-contact review should not be treated as the same job.

No provider can honestly guarantee 100% accuracy on changing business data, and email validity is not a guarantee of inbox delivery or replies. We apply structured quality control and report verification status transparently. Agree the checks and acceptance criteria relevant to your intended use before the project starts.

Record the identifier, disputed field and supporting evidence, then request a review against the agreed checks and delivery status. Correction terms and any reporting window need to be confirmed in the quote. A contact changing roles after validation is different from an error present when the record was checked; no blanket replacement guarantee is published.

Duplicates are consolidated against rules agreed with you, and dead records are marked rather than deleted without evidence. Refresh frequency depends on the fields, market and how actively you use the records. Prioritise campaign-critical contacts rather than assuming a single refresh cycle suits the whole database.