Data Hygiene
Data hygiene is the ongoing practice of keeping marketing and CRM data accurate, complete, and current. It covers removing duplicate records, correcting errors, standardizing formats, filling missing fields, and purging stale or invalid contacts so teams can trust the data behind their segmentation, scoring, and reporting.
Good data hygiene is a recurring process rather than a one-time cleanup. It typically combines validation at the point of entry (such as required fields and format checks on forms) with periodic audits, deduplication, and bounce or unengaged-contact removal. Teams often measure progress with metrics like duplicate rate, email bounce rate, and field completeness.
A common pitfall is letting hygiene lapse between campaigns, allowing decay to accumulate as people change jobs and emails go invalid. Poor hygiene inflates database size, skews reporting, and hurts email deliverability, which is why operations teams treat it as foundational maintenance.
Last updated: 14 June 2026