# How to correctly identify all duplicates in your CRM | Dedupely > This guide explains how to identify CRM duplicates by using reliable fields, applying match options like exact or fuzzy, testing logic to avoid errors, and. - URL: https://dedupe.ly/blog/dedupely-insights/merge-with-confidence - Section: blog - Published: 2025-09-17 - Site index: https://dedupe.ly/llms.txt - Any page: append `.md` to its URL for this plain-text form --- Skip to content [New Dedupely Intelligence Now on every paid plan, monthly or yearly.](https://dedupe.ly/ai-deduplication) [Blog](https://dedupe.ly/blog) [Dedupely Insights](https://dedupe.ly/blog/dedupely-insights) ## How to correctly identify all duplicates in your CRM This guide explains how to identify CRM duplicates by using reliable fields, applying match options like exact or fuzzy, testing logic to avoid errors, and. Published September 17, 2025 # min read Most CRM users think duplicates are easy to spot: same email, same phone, same company name. But duplicates rarely show up that cleanly; they usually hide behind spelling variations, formatting differences, and missing fields - and if you don’t catch them correctly at the matching stage, every merge that follows is risky. This guide shows you how to identify duplicates with confidence. You’ll learn the difference between obvious and hidden duplicates, which fields are most reliable, how match options work, and how to test your setup before automating. ### What’s the difference between obvious and hidden duplicates? - **Obvious duplicates** are straightforward: two records with the same email address, phone number, or domain. They can be matched safely and merged without hesitation. - **Hidden duplicates** are trickier: - “Chris Johnson” vs “Christopher Johnson” - “Brightline Technologies” vs “Bright Line Tech” - One record has a work email, another has a mobile number, both belong to the same person Obvious duplicates are rare. Hidden duplicates are where most of the cleanup effort lives, and where matching logic matters most. ### Which fields are most reliable for finding duplicates? Even though some fields are strong identifiers, we recommend using at least two fields combined. - **Strong when paired:** - First Name + Last name + Email - Company name + Address + Zip Code - First Name + Last Name + Phone - **Unreliable fields:** - Job title - Notes - Free-text fields ### What match options are safest to start with? In Dedupely, you choose **match options** for each field you rely on, so you can decide what a duplicate is. Available match options include: - **Exact** **match:** Fields must match exactly - **Similar match:** Catches small differences in spelling. - **Fuzzy** **match:** Detects close variations, like “Chris” vs “Christopher.” - **Similar Words (Any Order) match:** Finds matches where words are rearranged (e.g., “Brightline Technologies” vs “Technologies Brightline”). - **Domain Rootmatch:**Strips subdomains to match on the core domain (e.g., “ mail.greenfield.io ” vs “ greenfield.io ”). Best practice: - Start with Exact match on First Name + Last Name + Email - Add Similar/Fuzzy for names and company names once you’ve tested accuracy. - Use Domain Root for companies to catch format differences. You can save these in Duplicate Searches that you can reuse. That way, you don’t rebuild logic each time. ### How do I test my Dedupely match setup to avoid false positives or negatives? Matching logic needs testing before you can trust it at scale. Here’s a simple loop: - Run a scan with your chosen match options. - Review 5-10 matched pairs manually. - Mark which are true duplicates and which are false matches. - If false matches appear, tighten thresholds or add supporting fields. - Re-run the scan until results are consistently accurate. - Once confident, save the logic as a Duplicate Search for repeat use. Testing prevents two common risks: merging different people by mistake (false positives) and missing duplicates entirely (false negatives). ### Good matches are the foundation of safe merges Deduplication starts with matching and without strong match logic, merges are either unsafe or incomplete. When you use reliable fields, apply the right match options, and test your setup, you can surface true duplicates consistently. Duplicate Searches then let you repeat the process without starting from scratch. Behind the article ### Gaby Salinas Marketing Assistant at Dedupely Gaby Salinas came to CRM data from marketing and advertising, so she looks at duplicates from two sides: the match and merge logic behind them, and what they do to the people using the CRM, like the rep who calls a customer twice, the admin who gets blamed and the cleanup nobody wants to start. As Marketing Assistant at Dedupely, she follows how RevOps teams, end users, consultants and technical teams actually work with their data: the records they stop trusting, the workarounds they build and the moment they finally decide to clean up. What she finds shapes most of what Dedupely publishes. [Connect with Gaby on LinkedIn](https://www.linkedin.com/in/gbyslns) ### Contact us We’d be happy to help you get this set up. #### Write us a message We probably know the answer to your question already help@dedupe.ly Email copied to your clipboard! [Book a Zoom Whether you’re getting started or getting intense. Get in touch! Book a zoom](https://meetings.dedupe.ly/meetings/gaby-salinas/dedupely-zoom-scheduler) ### Discover Related Blog Posts Stay updated with our latest articles and insights. - [Dedupely Insights Build a Duplicate Search system to find all your duplicates How to build a Duplicate Search system that adjusts match logic per field and finds all your duplicates. Gaby Salinas October 13, 2025](https://dedupe.ly/blog/dedupely-insights/build-a-search-pad-system-to-find-all-your-duplicates) - [Dedupely Insights How to correctly identify all duplicates in your CRM This guide explains how to identify CRM duplicates by using reliable fields, applying match options like exact or fuzzy, testing logic to avoid errors, and. Gaby Salinas September 17, 2025](https://dedupe.ly/blog/dedupely-insights/merge-with-confidence) - [Dedupely Insights The complete guide to Duplicate Searches in Dedupely Duplicate Searches are where you define what a duplicate is in Dedupely: fields, match options and filters. Clinton Skakun August 4, 2025](https://dedupe.ly/blog/dedupely-insights/search-pads-in-dedupely) [See all](https://dedupe.ly/blog) ### Get started for free 20 free trial merges and as much free support as you need to get your duplicates under control. [Try for free](https://v2.app.dedupe.ly/signup)[Talk to sales](https://meetings.dedupe.ly/meetings/gaby-salinas/talk-to-sales) [Or sign up with Google](https://v2.app.dedupe.ly/signup/google) Running CRM cleanup for clients? [See the Partner Program](https://dedupe.ly/become-a-partner)