CRM data quality comes from intake rules and ownership, not one-off cleansing. Dupes, empty stages, and zombie leads need a weekly rhythm.

Scenario A

Block duplicate creates and ownerless leads before bulk history cleanses.

Scenario B

Dedupe rules must be explainable: tax ID, phone, email, name similarity.

Scenario C

Every new field needs an archive policy or forms only grow.

CRM Data Quality: Stop Bad Inputs Before a Cleansing Project
Decision lensCommon trap or costSafer cut
Block intakeStop dupes/ownerlessImmediate effect
Explainable dedupeTax ID/phone/emailFewer bad merges
Weekly rhythmDirty data in standupKeeps improving

Governance is an ops habit, not a one-off project Put scenarios into the contract annex—better for acceptance than module names alone.

Clean all history?

Quarantine inactive leads; manually confirm merges on active accounts. Full wipes injure good records.

Who may merge accounts?

Rep requests, ops/manager approves, system audits.

Poor marketing lead quality?

Validation plus reject loops; channels must be measurable and cuttable.

Need MDM?

Worth it with high volume and many systems; for single CRM, harden rules first.

Apply the judgment in this article to your own stack

Goals, constraints, and legacy systems change the phased boundary. Send your current systems and target; engineering will return an executable plan and acceptance list.

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