Data Hygiene
Also known as: data cleansing, list cleaning, data quality management
Data hygiene is the ongoing practice of removing invalid records, fixing formatting errors, suppressing junk contacts, deduplicating entries, and re-verifying emails in a B2B database. Without regular hygiene, CRM records decay at 20-30% per year — causing bounces, wasted outreach, and compliance exposure. Hygiene is a prerequisite, not an afterthought, for any outbound or enrichment workflow.
Related concepts
Contact Validation
Contact validation checks that a contact record is accurate and current — correct name-to-email mapping, working email, valid phone, and a real role at the company. It removes junk, duplicates, and stale entries before data reaches a CRM, keeping pipelines clean and rep trust high.
Entity Resolution
Entity resolution is the process of determining whether multiple records refer to the same real-world entity — the same company, the same person, the same domain. It combines fuzzy matching, domain anchoring, and confidence scoring to merge duplicates and prevent the same lead from appearing multiple times in a CRM or campaign.
CRM Data Decay
CRM data decay is the natural degradation of contact and company records over time as people change jobs, companies rebrand, domains expire, and emails become invalid. Industry estimates suggest 20-30% of B2B data decays annually. Combating decay requires continuous re-enrichment and re-verification rather than periodic bulk purchases.
Data Enrichment
Data enrichment is the process of appending missing or updated attributes to existing records — company, contact, firmographic, and technographic fields. It turns a thin list of names or domains into complete, actionable profiles. Quality enrichment is source-attributed and confidence-scored so each field can be trusted and audited.
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