How to find duplicate contacts in a CRM

Duplicates rarely look identical. The same person appears with a work email on one record and a personal email on another, or with a nickname and a typo.

Finding them means layering match strategies: exact where you can, fuzzy where you must, and across objects where leads shadow contacts.

Short answer

Find duplicate contacts by running exact matches on email, then fuzzy matches on name plus company to catch duplicates with missing or different emails, and cross-object matches for leads that duplicate existing contacts. Combine exact and fuzzy logic, because exact matching alone misses most real-world duplicates created by typos and job changes.

Step by step

  1. Exact-match on email

    Start with the strongest signal: two contacts sharing an email are almost always the same person. This catches the easy duplicates first.

  2. Fuzzy-match on name and company

    Catch duplicates with different or missing emails by matching similar names at the same company, allowing for typos and nicknames.

  3. Match across objects

    Check whether new leads duplicate existing contacts, so a lead is not worked as net-new when the person is already in the system.

  4. Score and review candidates

    Rank candidate pairs by match confidence so you can auto-merge the obvious ones and review the uncertain ones.

Why exact matching is not enough

Exact matching on email misses the messiest duplicates: the same person with two emails, a typo in the name, or a lead that shadows a contact. Fuzzy matching on name plus company is what catches the real-world duplicates that cause double outreach.

How Ardovo helps

Ardovo runs exact and fuzzy matching across contacts and leads continuously, scoring each candidate by confidence. Rook auto-merges the high-confidence duplicates and surfaces the rest for a quick review, so duplicates get caught as they form rather than piling up.

Frequently asked questions

What is the best way to find duplicate contacts?

Layer your matching: exact on email first for the easy wins, then fuzzy on name plus company to catch duplicates with missing or different emails, plus cross-object matching so leads that duplicate contacts surface. No single rule catches them all.

Why does exact matching miss duplicates?

Because real duplicates rarely match exactly. The same person shows up with a work and a personal email, a nickname, or a typo. Exact-only matching finds the obvious cases and leaves the messy majority that cause double outreach and split history.

How do you catch duplicates between leads and contacts?

Run cross-object matching that checks new leads against existing contacts. This is called lead-to-account or lead-to-contact matching, and it stops a person already in the system from being worked as a brand-new lead by a different rep.

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