Data hygiene is the least glamorous and most impactful part of marketing operations. Every other function (scoring, routing, segmentation, attribution, reporting) depends on clean data. When your data is wrong, everything built on top of it is wrong too.
The core data hygiene activities include deduplication (merging duplicate records), normalization (standardizing field values like state abbreviations or job titles), validation (ensuring required fields are populated and formatted correctly), and decay management (handling records that go stale as people change jobs or companies).
B2B data decays at roughly 25% to 30% per year. That means a quarter of your database becomes inaccurate every 12 months due to job changes, company mergers, email bounces, and other natural churn. Without active hygiene, your database degrades faster than you can fill it.
Tools for data hygiene include RingLead (dedup and normalization inside Salesforce), ZoomInfo (enrichment and refresh), Validity DemandTools (bulk data management), and native CRM validation rules. Many MOps teams also build custom automation to standardize fields on record creation.
The best data hygiene programs are preventive, not reactive. Set up validation rules that enforce data quality at the point of entry, build automation to normalize fields as records are created or updated, and schedule regular audits to catch issues that slip through. Cleaning a dirty database once is useful. Keeping it clean permanently requires systems.