✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
HubSpot CRM databases are among the most duplicate-prone because contacts flow in from forms, email tracking, integrations, imports, and manual entry by sales teams. HubSpot's native duplicate management tool catches some matches, but it is limited to contacts and companies with identical emails or domain names. dataclean.to extends deduplication to fuzzy name matching, phone number normalization, and cross-object duplicate detection between contacts and companies.
The Problem
A typical HubSpot portal with 50,000 contacts has between 5,000 and 10,000 duplicate records. These come from forms that do not match existing contacts by email, list imports where the same CSV was uploaded twice, and integrations with Salesforce or other tools that sync overlapping datasets. The consequences go beyond data quality: marketing emails sent to duplicate contacts count against your send limit and reduce engagement rates. Sales reps working duplicate leads waste time reaching out to prospects already in another rep's pipeline. Deal forecasting includes duplicate opportunities, inflating projected revenue. HubSpot's built-in dedup shows potential matches but requires manual review of each pair, which is impractical at scale. HubSpot Knowledge Base on managing duplicates
How to Fix It
1
Export CRM data from HubSpot
Navigate to Contacts (or Companies or Deals) in HubSpot and export all records as CSV. Include email, name, phone, company, lifecycle stage, deal amount, owner, and any custom properties critical to your business.
2
Upload the CSV to dataclean.to
Upload the exported CRM data. The tool applies fuzzy matching beyond what HubSpot offers natively, catching name variations, phone format differences, and company name abbreviation mismatches.
3
Review duplicate clusters by confidence
Examine duplicate groups sorted by match confidence. High-confidence matches (same email, similar name) can be bulk-merged. Lower-confidence matches (similar names, different emails) require individual review.
4
Merge duplicate records
Consolidate duplicate contacts into single entries. The tool preserves lifecycle stage progression (does not downgrade a customer back to lead), combines associated deal values, and keeps the most complete property values.
5
Export and apply to HubSpot
Download the deduplicated CSV with merge instructions. Use HubSpot's merge feature for high-confidence pairs, or reimport the clean data and archive the duplicate records.
Frequently Asked Questions
How is this different from HubSpot's built-in deduplication?
HubSpot's native tool primarily matches contacts by email address and companies by domain. dataclean.to adds fuzzy name matching, phone number normalization, and can identify duplicates across contacts that used different email addresses but share the same phone number or company.
Can I deduplicate contacts and companies at the same time?
Yes. Export both contacts and companies, upload them together, and the tool identifies duplicate contacts, duplicate companies, and contacts that are associated with duplicate company records.
Will merging affect HubSpot workflows and sequences?
The deduplication produces a CSV with merge recommendations. When you merge contacts within HubSpot, active workflow enrollments and sequence memberships follow the surviving contact. No workflow data is lost.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.