Helpdesk migration
Field-level mapping, validation, and rollback between Octadesk and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.
Octadesk
Source
Freshdesk
Destination
Compatibility
6 of 8
objects map 1:1 between Octadesk and Freshdesk.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Octadesk's REST API structures Tickets with a customField array and exposes Chats via a paginated endpoint capped at 100 items per page, requiring sequential cursor traversal for large conversation histories. Freshdesk's object model uses flat custom field definitions on Tickets and enforces per-minute rate limits (200 on Growth, 400 on Pro, 700 on Enterprise) with sub-limits per endpoint. We resolve the array-to-flat schema transform for ticket custom fields, manage Octadesk's per-agent header authentication (octa-agent-email) to avoid 401 responses during export, and sequence the migration into Freshdesk in dependency order — Companies first, then Contacts, then Tickets with Conversation history pulled via the dedicated per-ticket conversation endpoint to avoid Freshdesk's embedded-conversation cap of ten records. Automations, chatbot flows, and AI agent configurations do not export from Octadesk; we deliver a written automation audit report for manual rebuild in Freshdesk's visual automation builder.
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 Octadesk 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.
Octadesk
Ticket
Freshdesk
Ticket
1:1Octadesk Tickets map 1:1 to Freshdesk Tickets. The primary challenge is the customField array on Octadesk Tickets — each entry contains a field identifier, label, and value in a nested object structure. We parse the full customField array, match each entry against Octadesk's field definition metadata to retrieve the field data type, and then write to the corresponding Freshdesk custom field using the correct API field name. Date-typed fields stored as strings in Octadesk are normalised to ISO 8601 format before import to satisfy Freshdesk's date validation. Ticket status, priority, owner assignment, and channel metadata map directly to Freshdesk's equivalent fields.
Octadesk
Chat
Freshdesk
Ticket + Conversation
1:manyOctadesk Chats are real-time conversation sessions retrieved via GET /chat with a hard cap of 100 items per page. Accounts with thousands of Chats require sequential pagination through all pages, each consuming API budget and susceptible to transient failures — we implement cursor-based resume logic to recover from mid-export failures. Each Chat is split into a Freshdesk Ticket (created with type=chat) and conversation events pulled from the per-chat conversation endpoint to avoid Freshdesk's embedded-conversation view limit of ten records. Agent attribution and timestamps are preserved on each conversation note.
Octadesk
Contact
Freshdesk
Contact
1:1Octadesk Contacts migrate 1:1 to Freshdesk Contacts where the destination schema supports equivalent field types. Contact lifecycle data, custom contact properties, and the primary company association migrate. If a contact's associated company in Octadesk has no match in the Freshdesk destination during the migration window, we create a placeholder Company record first to satisfy Freshdesk's foreign key requirement before inserting the Contact. Duplicate detection uses email as the dedupe key on Freshdesk Contacts.
Octadesk
Company
Freshdesk
Company
1:1Octadesk Company records map directly to Freshdesk Companies. The company identifier, name, domain, and any custom company properties migrate. Freshdesk Companies can be associated with multiple Contacts, preserving Octadesk's one-to-many Contact relationship. We create Companies before Contacts to ensure the company_id lookup resolves at Contact insert time. If Octadesk has no active Company records (Contact-only accounts), we skip the Company import phase entirely.
Octadesk
Agent
Freshdesk
Agent
1:1Octadesk Agents (name, email, role, and permission level) map to Freshdesk Agent profiles. We use email as the match key for agent reconciliation: any Octadesk Agent without a corresponding Freshdesk Agent profile goes to a reconciliation queue for the customer's admin to provision before the migration resumes. Agent role in Octadesk maps to Freshdesk group membership and permission level, with the specific permission matrix documented for the admin to configure post-migration. The Octadesk per-agent header (octa-agent-email) is used exclusively for export authentication and has no Freshdesk equivalent.
Octadesk
Team
Freshdesk
Group
1:1Octadesk Teams migrate to Freshdesk Groups. Team membership for each Agent is preserved by mapping the Octadesk team_id to a Freshdesk Group and setting the Freshdesk Agent's group membership during migration. If a Team has no corresponding Group in Freshdesk at migration time, we create the Group via the Freshdesk Groups API before agent assignment begins. SLA configurations tied to Octadesk Teams are documented separately as Freshdesk SLA policies require separate setup.
Octadesk
Custom Field (Ticket)
Freshdesk
Custom Field (Ticket)
lossyOctadesk Ticket customField arrays (containing field ID, label, type, and value) require field-level configuration in Freshdesk before data import can begin. We export the complete list of Octadesk custom field definitions via the Tickets customFields metadata endpoint, map each to a Freshdesk custom field with matching data type (text, numeric, dropdown, date, boolean), and deploy the field definitions to Freshdesk via the Custom Field API before any ticket records are imported. Field ordering, visibility, and required-flag matching are documented in the pre-migration field map.
Octadesk
Attachment
Freshdesk
Attachment
1:1Ticket and Chat attachments are referenced by URL in Octadesk. We download each attachment during the export phase, store it in a temporary bucket, and re-upload to Freshdesk via the Ticket Attachments API, mapping each file to the corresponding migrated Ticket or Conversation record. Attachment size limits in Freshdesk (15-20 MB per file depending on plan) are checked against Octadesk's stored file sizes; any files exceeding Freshdesk's limit are flagged for the customer to decide whether to store a link-only reference or host externally. Conversation attachments that exceed limits are noted in the migration report.
| Octadesk | Freshdesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Chat | Ticket + Conversation1:many | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Team | Group1:1 | Fully supported | |
| Custom Field (Ticket) | Custom Field (Ticket)lossy | Fully supported | |
| Attachment | Attachment1:1 | 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.
Octadesk gotchas
/chat endpoint pagination capped at 100 items
Automations and AI agents have no export API
Per-seat and per-channel pricing complicates migration sizing
Custom fields on Tickets use an array-based schema
API authentication uses non-standard header
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
Discovery and source audit
We enumerate all Octadesk objects in scope via the REST API: Ticket records, Chat sessions, Contact records, Company records, Agent profiles, Team memberships, and customField definitions on tickets. We identify active seat count, channel count, and total record volumes. We check for any Octadesk Apps installed that extend the ticket schema, as these produce additional custom fields in the customField array. The output is a written migration scope document that the customer reviews and signs off on before any data movement begins.
Freshdesk destination preparation
We create the target Freshdesk environment: custom fields matching Octadesk's customField definitions (with data types confirmed and normalised), Groups matching Octadesk Teams, and Agent profiles created or matched by email. We configure the Freshdesk subdomain and generate an API key with sufficient permissions for read and write access. If Freshdesk is on a trial plan, we note the 50 calls/min rate limit ceiling and recommend upgrading to Growth or Pro before migration begins. All destination setup is validated in a staging run before production migration.
Chunked export from Octadesk with cursor resume
We export Octadesk Tickets, Chats, Contacts, and Companies in parallel-capable batches. The /chat endpoint export uses cursor-based pagination with a maximum of 100 items per page; we store the last seen cursor on each batch and implement retry logic with exponential backoff on transient HTTP 500 or rate-limit responses. Each exported record is written to a local staging store with its Octadesk internal ID preserved as an external reference. Custom field values are extracted from the customField array and flattened into a field:value map at this stage.
Staging migration and reconciliation
We run a full migration into the Freshdesk staging or production environment (customer choice) using representative volumes. We reconcile record counts: Contacts imported in Octadesk versus Contacts visible in Freshdesk, Companies in versus Companies in, Tickets in versus Tickets in. We spot-check 20-30 random ticket records against the Octadesk source to verify custom field values, conversation completeness, and attachment presence. Any mapping corrections are documented and the staging run is repeated until reconciliation passes before the production migration window opens.
Production migration in dependency order
We run the production migration in record-dependency order: Companies first (so Account IDs exist for Contact lookups), then Contacts, then Agents and Groups (so Owner IDs and Group IDs exist for Ticket assignment), then Tickets (with the Conversation history pulled per-ticket via the dedicated conversation endpoint to capture all events), then Attachments (downloaded from Octadesk URLs and re-uploaded to Freshdesk). Each phase emits a row-count reconciliation report. We use per-minute rate-limit aware batch sizing to stay within Freshdesk's endpoint sub-limits without triggering backoff delays that extend the migration window.
Cutover, delta sync, and automation handoff
We freeze Octadesk write activity during the cutover window, run a delta migration to capture any records created or modified since the main migration began, then hand over to the customer as system of record in Freshdesk. We deliver the automation audit report listing every Octadesk automation rule, chatbot flow, and AI agent configuration requiring rebuild in Freshdesk's automation builder. We support a 5-business-day hypercare window for reconciliation issues. Post-cutover agent training, Freshdesk workflow configuration, and ongoing admin support sit outside standard migration scope.
Platform deep dives
Octadesk
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 Octadesk 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
Octadesk: Not publicly documented.
Data volume sensitivity
Octadesk 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
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