CRM Data Hygiene: What to Check Daily, Weekly and Quarterly

Prevention costs less than cleanup. Set these rules at the point where records are created:

• Require company name, domain and owner on every new account, and use the domain as the duplicate key.
• Make deal creation require an amount, a close date and a stage, and a next step for anything past the first stage.
• Use picklists, not free text, for fields you report on: industry, lead source, loss reason.
• Standardize how names, countries and phone numbers are entered.
• Limit who can create accounts manually, or send new accounts through a duplicate check first.

A CRM like Close, Pipedrive or HubSpot Sales can enforce many of these as required fields or validation. Confirm in a trial which rules your plan supports.

A short, fixed routine beats a heroic quarterly purge. Every week, one owner works through this list:

1. Review the duplicate report and merge the obvious pairs, keeping the record with the longer history.
2. Check open deals with no scheduled next step and message the owners.
3. Look at deals with a close date in the past and ask owners to move or close them.
4. Scan new leads for missing owners and unrouted records.
5. Read the bounce and unsubscribe list and update the contact status so nobody keeps emailing them.

Keep a running log of what you fixed and why. After a month, the pattern in the log tells you which entry rule to add.

Old deals inflate the pipeline and distort the forecast. Once a month, list every open deal with no logged activity for a period you choose, and make owners choose one of three answers: re-engage with a dated next step, move to closed-lost with a reason, or park in a nurture stage.

Do the same for accounts and contacts. Flag contacts whose email bounced or who have left the company, and either update them or archive them. Reassign records owned by people who've left, since orphaned accounts are the usual place stale data hides.

Say a rep holds 40 open deals and 15 haven't moved in months. Forcing a decision on those 15 tells you the true size of the pipeline before the forecast call, not after.

Once a quarter, step back from individual records and check the system:

• Field usage: which fields are empty in most records? Retire them or make them required.
• Picklist drift: have people added values that overlap? Merge them.
• Contact decay: re-verify a sample of key contacts and compare accuracy with your last run. See how contact data decays and how to test data accuracy.
• Integration health: are syncs with email, marketing and billing tools still mapping fields correctly?
• Permissions: does anyone have edit rights they no longer need?

Publish a short summary of what changed. Reps follow rules more often when they see the reason and the result.

Data hygiene fails when everyone assumes someone else owns it. Name an owner for each cadence: the rep for their own deals, the manager for their team's pipeline review, and ops for duplicates, imports and system rules.

Then tie the behavior to something reps value. Some teams make deals eligible for forecast only when the required fields are filled. Others tie commission credit to a complete record, which is a policy decision to review with your finance and legal advisers first.

Automation helps with the repetitive parts. For ideas on automating routine checks, see preventing CRM data bit rot, and for the broader operating routine, the RevOps checklist for small companies.