CRM hygiene

The problem

A CRM decays on its own. People change jobs, emails start bouncing, records get entered twice, and data goes out of date. Left alone, routing misfires, scoring drifts, and marketing sends land in spam traps. Cleaning it by hand never keeps up with the rate it goes stale.

Duplicates are a good example of why this is hard. The same person shows up as two records because one row says "Acme Corp" and the other says "Acme, Inc.", or one email is a typo of the other. The merge itself belongs in your CRM, where your own rules and history live. What breaks the merge is dirty keys, so the job here is to make those keys clean and consistent first.

This is about maintaining a database you already have: validate, refresh, and normalize on a schedule. If instead you have a fresh but incomplete list and want to fill the blank fields, see Enrich records.

A hygiene pass, step by step

One export in, one clean file out. A full run on a database of any size follows the same five steps.

1. 1.Export the contacts you want to clean from your CRM to a CSV, with whatever fields you have: name, email, company, domain, title.
2. 2.Validate every email through the Email Validator or the Bulk Email Verifier. Each row comes back marked valid, risky, or invalid, so the addresses that bounce are known before you send.
3. 3.Enrich the same file. The Lead Enrichment Tool fills blank titles and company data and standardizes the company name and domain, so "Acme, Inc." and "Acme Corp" resolve to the same key.
4. 4.Refresh the records that went quiet. Run the Email Finder and Mobile Finder against stale rows to pick up a current email or number, paying only when one is found.
5. 5.Re-import the clean file. Because the emails are canonical and the company and domain are normalized, your CRM's own dedup rules can now merge the records that are truly the same.

What we see teams do to keep a CRM clean

These hygiene jobs run on our own platform, so we can see the routine that keeps a database clean rather than guess at it.

• They sweep validation in big passes. A whole database gets checked in one pass instead of in slices, so nothing bounces on the next send.
• They enrich to standardize, not just to fill. They use enrichment to turn ragged company names, domains, and titles into clean keys their own CRM can dedup on.
• They keep it current on a schedule. Many jobs re-run on a cadence so segments and match keys stay fresh instead of drifting stale.
• They match against depth. Refresh and matching draw on the full B2B contact database, so a quiet record comes back up to date rather than getting dropped.