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How to clean invalid contact data in HubSpot

Koalify doesn't just identify duplicates; it also pinpoints inaccurate data. Cleansing this bad data is a crucial part of achieving zero duplicates in HubSpot and maintaining overall CRM hygiene. In this article, we'll outline common types of invalid data for HubSpot contacts and provide solutions for cleaning these.

Identify invalid property values

Identify incorrect property values by creating a report of property values that are duplicated across multiple contacts. The following properties are most likely to have incorrect values. Since they cannot be removed in bulk, you will need to create a workflow to cleanse this bad data:

  • Phone number 
  • Mobile phone number 
  • First name
  • Last name

Phone number, first name, last name can not be updated in bulk in HubSpot

 

Remove inaccurate (mobile) phone numbers 

Phone numbers for contacts can't be updated in bulk, and new incorrect phone numbers are constantly being added to HubSpot contacts. You can clean up these invalid phone numbers with a workflow. This will prevent HubSpot users from dialing irrelevant numbers and Koalify from making incorrect duplicate suggestions. 

  • Create a contact workflow in HubSpot
  • Set up triggers
    • Automatically trigger enrollment when filter criteria is met
  • Add action
    • CRM -  Clear property value
      • Property to clear
        •  "(Mobile) Phone Number"

 

Remove inaccurate first and last names from HubSpot contacts

First and last names for contacts can't be updated in bulk, and new incorrect names are constantly being added to HubSpot contacts. You can clean up these invalid names with a workflow. Doing so will prevent Koalify from making incorrect duplicate suggestions.