How to detect and merge duplicate objects in HubSpot CRM?

Quick actionnable tips to get rid of contact duplicates in your CRM! It is actually easier than you imagine.

Why duplicate records hurt your HubSpot CRM

Duplicate data is not a cosmetic problem. It quietly breaks the things your team relies on every day. Marketers pull lists that contain the same person twice, reps call a lead a colleague already contacted, and reporting overstates your real pipeline. The more your database grows, the more those small errors compound.

The problem is also constant, not one-off. HubSpot research estimates that around 22.5% of B2B contact data goes stale every year as people change roles and companies restructure, which means cleanup is an ongoing discipline rather than a single project. Keeping records unique is one pillar of broader data quality, and our CRM data hygiene checklist covers the others worth pairing with deduplication.

Some solutions worth trying:

1. With HubSpot (free): it is possible to merge them from the Manage Duplicates view, but it is very manual
2. With HubSpot (paid): by adding the Operations Hub, you can build Workflows that detect and merge any duplicated object, this is the most advanced and powerful solution to manage your duplicates you can find (but it's expensive).
3. Even more simple: Koalify app enables you to get rid of duplicates, automatically, on autopilot! Try it free for 14 days (HubSpot only)

How to merge duplicates manually in HubSpot, step by step

Manual merging is the right approach for a handful of records or when you want full control over which values survive. Here is the process:

1. Open the record you want to keep as the primary (the one with the most complete, accurate data).
2. In the top left of the record page, click Actions, then Merge.
3. Click Select record, then search for the duplicate you want to combine.
4. Review which property values will be kept. For most properties, values from the primary record are used unless you choose otherwise.
5. Click Merge to complete the action.

When you merge, all associated records and timeline activity from both entries are combined onto the primary record. Always confirm you have selected the correct primary first, because a merge is difficult to reverse cleanly.

How HubSpot's Duplicate Management tool detects duplicates

HubSpot answers the detection question for you on paid tiers. Its Duplicate Management tool scans your CRM automatically once per day and flags likely matches for you to review.

It compares a fixed set of properties:

• Contacts: First Name, Last Name, Email address, IP country, Phone number, Zip Code, and Company Name.
• Companies: Company Domain Name, Company Name, Country or Region, Phone Number, and Industry.

A few limits are worth knowing before you rely on it. The tool is available on Professional and Enterprise tiers, and it covers contacts and companies only (deals and tickets are not included in automated detection). The core matching rules are fixed, though newer plans let you refine the suggestions by adding up to three extra properties to the review. HubSpot also surfaces a capped number of suggested pairs per day, so very large databases usually need workflow automation or a dedicated app to reach zero duplicates. For the official walkthrough, see HubSpot's own deduplication guide.

Which deduplication method should you choose?

The right method depends on your volume, your HubSpot tier, and how much control you need. This table compares the three approaches from the original list.

For comparison snippets, a table like this also tends to perform well in search.

How to prevent duplicates from appearing in the first place

Cleaning up is only half the job. The cheaper fix is stopping duplicates at the source:

• Standardize how records are created, so reps do not enter the same account three different ways.
• Use email address for contacts and company domain for companies as your primary unique identifiers.
• Deduplicate on import by matching against existing records rather than creating new ones.
• Reduce manual entry, which is where most inconsistent, duplicate-prone data comes from.

That last point matters most. Many duplicates are born when several people log the same interaction by hand in slightly different ways. When data is captured automatically and written to a single source of truth, that inconsistency drops. Praiz syncs conversation data straight into your CRM through its native HubSpot integration, and its ready-to-use AI agents populate deal and contact fields from what was actually said on the call, so reps are not re-keying the same details across records. It does not deduplicate for you, but it removes a major cause of duplicate and incomplete data: messy manual entry. Cleaner inputs also make downstream work like AI sales forecasting far more reliable.

This applies mainly to teams capturing many calls and meetings. If most of your records come from web forms, focus your prevention effort on form validation and import matching instead.

Frequently Asked Questions