Data Hygiene

Data hygiene is the ongoing process of maintaining the accuracy, completeness, consistency, and freshness of data in your CRM and related systems. It includes deduplication, standardization of field values, removal of invalid records, updating stale information, and enforcing data entry standards.

Data hygiene matters in GTM operations because bad data quietly destroys revenue performance. Duplicate contacts create embarrassing double-outreach. Missing fields break lead routing and scoring. Outdated job titles mean sales reps pitch the wrong person. Inconsistent naming conventions (e.g., “US” vs “United States” vs “USA”) break reports and segmentation. Every downstream process depends on data quality, and the costs of bad data compound over time.

Research estimates that B2B data decays at 25-30% per year. People change jobs, companies merge, phone numbers change, and email addresses become invalid. Without active hygiene practices, your database becomes less useful every month.

Common data hygiene practices include: scheduled deduplication runs to merge duplicate records, validation rules that prevent incomplete records from being created, regular email verification to remove bounced addresses, standardization of key fields like country, industry, and job title, and enrichment refreshes to update stale records with current information.

For example, a quarterly data hygiene audit might reveal that 15% of your contacts have changed jobs, 8% have invalid emails, and 12% are duplicates. Cleaning these up immediately improves email deliverability, lead routing accuracy, and reporting reliability.

The best approach is building data hygiene into your daily operations rather than treating it as a periodic cleanup project. Data enrichment tools that continuously validate and update records help prevent data decay from accumulating in the first place.