✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Freshdesk creates new contact records automatically when someone emails support from a new address, fills out a web form, or reaches out through chat. A single customer who contacts support via their personal email, work email, and the contact form ends up as three separate contacts with fragmented ticket histories. dataclean.to identifies these duplicate contacts by cross-referencing names, email domains, phone numbers, and company associations.
The Problem
Duplicate contacts in Freshdesk cause support agents to miss context. When a VIP customer's ticket appears under a duplicate contact with no ticket history, the agent treats it as a first-time inquiry instead of recognizing a repeat customer who has been dealing with an ongoing issue. SLA reporting becomes unreliable because first-response times look better when repeat contacts are counted as new customers. Customer satisfaction surveys go to the same person multiple times at different addresses. Merging contacts manually in Freshdesk is time-consuming and error-prone for help desks with thousands of contacts accumulated over years of operation. Freshdesk contact management documentation
How to Fix It
1
Export contacts from Freshdesk
Navigate to the Contacts section in Freshdesk and export your contact list as a CSV. Include name, email, phone, company, contact type, and any custom fields used for segmentation.
2
Upload the CSV to dataclean.to
Upload the exported contacts file. The tool analyzes name patterns, email domain matching, phone number comparison, and company associations to identify contacts belonging to the same person.
3
Review duplicate contact clusters
Examine each group of likely duplicates. The tool shows which email addresses, phone numbers, and company names differ between records, along with ticket counts per profile to help identify the primary contact.
4
Merge duplicate contacts
Consolidate duplicate contact records into single profiles. The merged entry retains all email addresses as contact methods, combines ticket counts, and preserves the most complete profile information.
5
Export and apply the clean data
Download the deduplicated CSV. Use the results to merge contacts within Freshdesk using the built-in merge feature, now that you know exactly which contacts should be combined.
Frequently Asked Questions
Does Freshdesk's built-in merge work with dataclean.to?
Yes. Freshdesk allows manual contact merging within the platform. dataclean.to identifies which contacts should be merged and provides you with the list, which you then execute using Freshdesk's merge function to combine ticket histories.
How are contacts with multiple email addresses identified?
The tool matches contacts by comparing names and phone numbers across different email addresses. It also checks for email addresses at the same domain (like jane@acme.com and j.smith@acme.com) in combination with similar names.
Will ticket history be preserved after merging?
The deduplication identifies duplicates in the exported data. When you merge contacts within Freshdesk using the platform's merge feature, all tickets from both contacts are combined under the surviving contact record.
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.