Agency teams receive data from different CRMs, ESPs and spreadsheet conventions. A repeatable cleaning workflow reduces manual preparation and makes the final deliverable easier to explain to clients.
Keep client context attached
Add an optional reference when creating a job and retain the client’s record IDs, names, segments and source columns. The result can be reconciled with the original system without fragile row matching.
Standardize status policy
Define which classifications are safe to send, which require review and which must be suppressed. Document the policy separately from the vendor so it remains consistent across accounts and tools.
Use the API for recurring work
Automate uploads, poll job status, retrieve results and check credit balance through the API. Use idempotent requests where supported so a retry does not create duplicate work.
Stay inside the client’s lawful scope
Cleaning improves technical data quality. It does not validate the origin or permission of a purchased, scraped or transferred list. Confirm the client’s collection basis and suppression obligations before sending.
Clean a client sample
Create an account, use the included credits and review the classifications before committing a larger database.