Helpdesk migration
Field-level mapping, validation, and rollback between Deskpro and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Deskpro
Source
Freshdesk
Destination
Compatibility
6 of 8
objects map 1:1 between Deskpro and Freshdesk.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Deskpro to Freshdesk is a structural translation with three compounding challenges: Deskpro's Peoples and Organizations are separate objects that Freshdesk consolidates into a single Contact model; Deskpro's two-tier Folders/Sections knowledge base hierarchy maps to Freshdesk's single-tier Category/Article model with potential structure loss; and Freshdesk's per-plan API access and attachment size caps can silently drop data if not flagged upfront. We resolve the contact model merge during scoping by attaching Organization data to the Contact's company field, collapsing the knowledge base hierarchy with a visible warning, and chunking large ticket attachments before Freshdesk's 15-20 MB ceiling is hit. Automations, triggers, and SLA rules do not migrate as code; we deliver a written automation inventory for your admin to rebuild in Freshdesk.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Deskpro object lands in Freshdesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Deskpro
Ticket
Freshdesk
Ticket
1:1Deskpro Tickets map directly to Freshdesk Tickets with status, priority, source, and assignee preserved. Custom fields on tickets are discovered via the Deskpro reports API using a custom-field prefix, and the field schema (IDs, types, labels) is captured before mapping begins. Custom field values are written to Freshdesk custom ticket fields of matching type. Tag assignments transfer to Freshdesk Tags, with the tag vocabulary created in Freshdesk at import time. Attachments follow a two-stage path: downloaded to a staging bucket from Deskpro, then uploaded to Freshdesk's file storage, with files exceeding Freshdesk's 15-20 MB ceiling chunked or flagged for manual handling.
Deskpro
People
Freshdesk
Contact
1:1Deskpro Peoples (individual customers or end-users) map to Freshdesk Contacts. Email, phone, name, language, and timezone transfer directly. Custom fields on Peoples discovered via the reports API migrate to Freshdesk Contact custom fields. Any Peoples without a primary email address are flagged for admin review because Freshdesk Contacts require a valid email for the contact to be actionable in the system.
Deskpro
Organization
Freshdesk
Contact (company field)
many:1Deskpro Organizations map to Freshdesk's company field on the Contact object. An Organization record in Deskpro becomes the company name on one or more related Contacts in Freshdesk. Because Freshdesk does not have a separate Organizations object, the Organization's own address, domain, and custom fields are appended as note text or mapped to Contact custom fields. We flag this schema change during scoping because it flattens Deskpro's distinct People/Organization hierarchy. The relationship graph (which Peoples belong to which Organizations) is preserved through the Contact company field linkage.
Deskpro
Agent
Freshdesk
Agent
1:1Deskpro Agents map to Freshdesk Agents with name, email, role, group assignment, and department preserved. Agent role mapping uses Deskpro's agent_role field mapped to Freshdesk's Agent Role setting. Departments in Deskpro are reviewed during scoping: if the department list in Deskpro exceeds what Freshdesk groups can represent, department names are stored as a custom field on the agent record. Agent language and timezone preferences transfer to Freshdesk agent profile settings.
Deskpro
Label
Freshdesk
Tag
1:1Deskpro Labels (applied to tickets) map to Freshdesk Tags using a flat name-for-name translation. Freshdesk enforces a 32-character limit on tag names; any Deskpro label exceeding 32 characters is truncated to the first 32 characters and flagged in the migration report. The tag vocabulary is created in Freshdesk before ticket import so that tag assignments resolve at insert time rather than requiring a post-import reconciliation pass.
Deskpro
Knowledge Base Folder
Freshdesk
Category
1:1Deskpro Folders map to Freshdesk Categories. Folder-level publish status and permission settings (if any) are noted and flagged because Freshdesk Categories do not support granular permission controls at the category level. Folder names with special characters are sanitized to comply with Freshdesk's category naming constraints.
Deskpro
Knowledge Base Section
Freshdesk
Article
many:1Deskpro's Folders/Sections two-tier hierarchy collapses into Freshdesk's single-tier Categories/Articles structure. Deskpro Sections become top-level articles with their name used as the article title, and the Section's parent Folder name is stored as the Freshdesk Category. Any Section-level permissions are lost in this collapse and are flagged in the migration report for the customer to reconfigure manually in Freshdesk's category settings.
Deskpro
Knowledge Base Article
Freshdesk
Article
1:1Deskpro Articles map to Freshdesk Solution Articles with title, body content, publish status, author attribution, and available language variants preserved. Article attachments download to a staging bucket and re-upload to Freshdesk as article file attachments. Multi-language articles are handled by creating one Freshdesk article per language variant, linked by the original article ID stored in a custom field. Internal hyperlinks between articles are flagged for post-migration manual audit because Freshdesk assigns new article IDs that break the original URLs.
| Deskpro | Freshdesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| People | Contact1:1 | Fully supported | |
| Organization | Contact (company field)many:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Label | Tag1:1 | Fully supported | |
| Knowledge Base Folder | Category1:1 | Fully supported | |
| Knowledge Base Section | Articlemany:1 | Fully supported | |
| Knowledge Base Article | Article1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Deskpro gotchas
Stat Builder ticket export hard-caps at 2500 records per query
On-premise to cloud migration can fail due to incompatible features
Custom fields on tickets require schema discovery before mapping
Rate limiting on Help Center API endpoints can throttle bulk reads
Freshdesk gotchas
API access is blocked on the free plan
Per-minute rate limits are account-wide and endpoint-specific
Multi-channel source types do not map 1:1 to all destinations
Custom objects created in-product cannot be accessed by other apps
Contact import requires at least 10 existing tickets in the account
Pair-specific challenges
Migration approach
Deskpro export scoping and schema discovery
We audit the Deskpro source instance across tickets, Peoples, Organizations, Agents, Departments, Labels, and Knowledge Base Folders/Sections. We run the Stat Builder query discovery across ticket ID ranges (to handle the 2,500-record cap per query) and capture all custom field schemas via the reports API with a custom-field prefix. We also enumerate active triggers, workflows, and SLA rules for the automation inventory. The scoping output is a written migration specification covering record counts per object, schema field list, any on-premise feature usage, and a preliminary assessment of knowledge base restructuring required.
Freshdesk destination setup
We configure the Freshdesk destination org before any data import begins. This includes provisioning custom ticket fields and custom contact fields to match the Deskpro schema discovered in step one, creating Freshdesk Groups to map Deskpro Departments, setting up Agent Roles to correspond to Deskpro agent roles, and configuring the knowledge base Category structure. We create Freshdesk Tags in bulk to match the Deskpro label vocabulary. We also confirm that the customer is on a Freshdesk plan with API access (Blossom/Growth or above) and retrieve the API key from Admin > Profile Settings.
Sandbox test migration and reconciliation
We run a representative subset migration (typically 100-200 records per object type) into a Freshdesk trial or sandbox environment to validate field-level mappings, verify that custom field values land in the correct Freshdesk fields, confirm that Organization-People linkage resolves correctly through the Contact company field, and spot-check that article body content and multilingual variants transfer without truncation. Any mapping corrections are applied before production migration begins. The customer reviews the sandbox output and signs off before we proceed.
Production migration in dependency order
We migrate records in the sequence required to satisfy foreign-key and lookup dependencies. Agents are validated against Freshdesk user accounts (created or matched by email). Organizations are imported first so that the company field is available when Peoples migrate as Contacts. Peoples map to Contacts with the Organization name populating the company field. Tickets import with agent, contact, and tag references resolved at insert time. Knowledge base Folders create Categories; Sections collapse into Articles; Articles import with author attribution and language variants. Attachments download from Deskpro to a staging bucket, are checked against Freshdesk's 15-20 MB threshold, and upload to Freshdesk. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation handoff
During cutover we freeze Deskpro writes to prevent delta records from accumulating, run a final delta migration of any tickets or contacts modified during the migration window, then disable incoming channels on Deskpro and activate them on Freshdesk. We deliver the full migration validation report to the customer's support operations lead and resolve any post-import data issues during a one-week hypercare window. We deliver the automation inventory document to the Freshdesk admin for workflow rebuild. We do not rebuild Deskpro automations as Freshdesk scenario rules within standard migration scope.
Platform deep dives
Deskpro
Source
Strengths
Weaknesses
Freshdesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Deskpro and Freshdesk.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Deskpro: Configurable per action in Admin > Data > Security; not publicly documented in requests-per-minute terms.
Data volume sensitivity
Deskpro doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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