Getting contacts associated with the right company in HubSpot sounds simple, but in practice, it often isn’t.
Automatic association based on email domain works well for small businesses. But as soon as you’re dealing with:
enterprise accounts
shared or generic email domains
multiple subsidiaries or regions
contacts without a clear domain match
…that logic quickly breaks down.
The result? Contacts that clearly work at the same company remain unassociated, creating gaps in reporting, segmentation, and lifecycle automation.
With Koalify, you can take a more flexible approach, using fuzzy matching on company names to identify likely colleagues and automatically associate them to the correct company.
HubSpot can automatically associate contacts with companies by matching the email domain to a company’s domain. In many cases, this works well and helps reduce manual effort.
However, this default behavior has some important limitations, especially for B2B teams with more complex data models.
Fuzzy matches like:
“Acme Inc.” vs “Acme Corporation”
slightly different addresses
missing or generic domains
aren’t enough on their own.
That’s where Koalify’s fuzzy matching rules come in. Koalify can identify likely relationships even when the data isn’t an exact match, you just need one additional step to turn that insight into a reliable association.
Instead of trying to associate contacts to companies directly, the approach is:
Use Koalify to identify contacts that likely work at the same company
Treat those contacts as colleagues
Reuse the company association from one colleague to associate the other colleague with the same company.
This keeps everything accurate, explainable, and fully automated.
Start by creating a Koalify duplicate rule for contacts that:
Do not match on first name, last name or phone number
Do have a similar company name / street address / email domain (using fuzzy matching)
For example:
Company name is a close or fuzzy match
First name and last name are different
This rule doesn’t say “these are the same person.”
It says: "these people likely work at the same company".
Koalify will group these contacts together and mark them consistently.
Once Koalify flags these contacts, you can use HubSpot workflows to:
Detect contacts that belong to the same Koalify group
Automatically associate them as colleagues
At this point, you’ve created a reliable relationship between contacts, without merging them and without needing exact matches.
In many cases, one contact is already correctly associated with a company, while the other is not.
To reuse that association, you’ll need two custom contact properties:
Because associations themselves can’t be copied directly, these properties act as a safe and controlled handoff mechanism.
Now you can bring everything together with a workflow.
Enroll contacts that:
Don’t have a primary company association
Are associated with a colleague who does have one
In the workflow:
Copy the primary company record ID from the colleague
Store it in the custom “colleague company ID” property
(Optional) Add a short delay to ensure the property is populated
Use a standard HubSpot workflow action to associate the contact to a company using that "Primary Company ID of Colleague"
At this point, the contact is correctly associated with a company, without relying on email domain logic or manual intervention.
HubSpot’s association logic is intentionally strict and that’s a good thing. It ensures data consistency and prevents accidental mis-associations. But in real-world B2B data, exact matches aren’t always available.
This approach bridges that gap.
By using Koalify’s fuzzy matching to identify likely colleagues first, and then relying on HubSpot-native record IDs to create the actual association, you get the best of both worlds:
Flexible, real-world matching that reflects how companies actually appear in data
Deterministic, reliable associations built on stable record IDs
It also scales naturally:
Works for enterprise and multi-entity organizations
Handles subsidiaries, regions, and naming variations
Applies anywhere context matters more than exact matches
The result is a contact-to-company association process that’s both accurate and automated and a CRM that models your business the way it really works.