Glossary

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Glossary / Evaluation and implementation guide

Contact Deduplication

Contact deduplication is the process of finding and merging duplicate person and company records in a CRM.

It relies on matching rules, exact field matches, fuzzy matching that tolerates typos and variants, and identity keys like email domains.

Deduplication is both a one-time cleanup and an ongoing control, because new duplicates enter through imports, form submissions and integrations.

It differs from broader data governance, which covers ownership, quality standards and access, not just duplicates.

A practical example

Example: after a trade show import, the same prospect exists three times, once as 'Ana Ruiz' with a personal Gmail and twice with her work domain; a fuzzy match on name plus company flags all three for merge review.

What to evaluate before investing

  • Ask which matching rules the tool supports, whether fuzzy matching is tunable, and how it handles shared inboxes like info@ or role addresses.
  • Verify there is a review workflow for uncertain matches, with merge previews showing which field values survive.
  • Check whether deduplication runs automatically on new records from forms and integrations, not only in manual batch cleanups.

Limitations and tradeoffs

Aggressive automatic merging can combine distinct people with similar names, corrupting history and activity logs; decide which merges require human review before trusting any automated pass.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.