Data and enrichment
Data hygiene
Data hygiene is the ongoing practice of keeping a database accurate and consistent by correcting, deduplicating, and removing bad records.
Why it matters
A CRM full of duplicates, typos, and dead records misleads every decision made from it. Good data hygiene keeps reporting trustworthy, stops reps wasting time on bad records, and protects deliverability by removing addresses that would bounce. It is the maintenance that keeps a database useful instead of a growing liability.
How it works in practice
Data hygiene covers deduplication, standardizing formats, filling gaps through enrichment, and removing or flagging records that are invalid or out of date. It runs as a routine, not a one-off: a scheduled clean, validation on new records as they enter, and periodic checks against live sources. Clear field rules keep new data consistent from the start.
Common mistakes
The biggest mistake is treating hygiene as a one-time cleanup rather than an ongoing routine, so the database drifts back into disorder within months. Another is deduplicating without good match rules, which merges records that should stay separate. A third is cleaning the CRM but letting new bad data flow in unchecked.
How hubsell approaches it
Because hubsell verifies contacts at the point of use, a lot of hygiene work never becomes necessary: the data entering your workflow is already checked, so there is less to clean later.