Helpdesk migration

Migrate from Octadesk to Freshdesk

Field-level mapping, validation, and rollback between Octadesk and Freshdesk. We move data and schema; workflows are rebuilt natively in Freshdesk.

Octadesk logo

Octadesk

Source

Freshdesk

Destination

Freshdesk logo

Compatibility

75%

6 of 8

objects map 1:1 between Octadesk and Freshdesk.

Complexity

BStandard

Timeline

2-3 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Octadesk logo

Octadesk

What's pushing teams away

  • Switching to global platforms like Zendesk or Freshdesk for multinational teams needing multi-language support and enterprise-grade SLA guarantees
  • Customisation ceiling — teams with complex workflow requirements find Octadesk's no-code automation builder insufficient for advanced routing and conditional logic
  • Pricing at scale — per-user and per-channel costs increase significantly as teams grow, pushing cost-conscious organisations toward alternatives with flat-rate pricing
  • API limitations — restricted rate limits and pagination caps on endpoints like /chat (100 items max) frustrate teams with large conversation histories that need programmatic access
  • Latin American data residency concerns — some enterprise teams require explicit data residency guarantees that Octadesk's infrastructure does not prominently document

Choosing

Freshdesk logo

Freshdesk

What's pulling them in

  • Free tier for 1-2 agents with no credit card makes initial evaluation risk-free and appeals to startups and small support teams.
  • Per-agent pricing is predictable and scales cleanly as teams grow from Growth at $15/agent/month to Enterprise at $89/agent/month.
  • Freddy AI Copilot and Email AI Agent bring AI assistance without forcing a full platform switch, appealing to teams already embedded in Freshdesk.
  • Multilingual help desk and customer portal features serve global SMB teams without requiring enterprise-level investment.
  • Collaborators up to 5,000 included in paid plans allow non-agent stakeholders to view tickets without additional licensing cost.

Object mapping

How Octadesk objects map to Freshdesk

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

maps to

Freshdesk

Ticket

1:1
Fully supported

Octadesk 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

maps to

Freshdesk

Ticket + Conversation

1:many
Fully supported

Octadesk 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

maps to

Freshdesk

Contact

1:1
Fully supported

Octadesk 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

maps to

Freshdesk

Company

1:1
Fully supported

Octadesk 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

maps to

Freshdesk

Agent

1:1
Fully supported

Octadesk 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

maps to

Freshdesk

Group

1:1
Fully supported

Octadesk 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)

maps to

Freshdesk

Custom Field (Ticket)

lossy
Fully supported

Octadesk 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

maps to

Freshdesk

Attachment

1:1
Fully supported

Ticket 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.

Gotchas + challenges

What specifically takes care here

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 logo

Octadesk gotchas

High

/chat endpoint pagination capped at 100 items

High

Automations and AI agents have no export API

Medium

Per-seat and per-channel pricing complicates migration sizing

Medium

Custom fields on Tickets use an array-based schema

Low

API authentication uses non-standard header

Freshdesk logo

Freshdesk gotchas

High

API access is blocked on the free plan

High

Per-minute rate limits are account-wide and endpoint-specific

Medium

Multi-channel source types do not map 1:1 to all destinations

Medium

Custom objects created in-product cannot be accessed by other apps

Low

Contact import requires at least 10 existing tickets in the account

Pair-specific challenges

  • Octadesk /chat endpoint caps at 100 items per page

    The GET /chat endpoint enforces a MAX=100 items per page with sequential cursor traversal required for larger result sets. For accounts with thousands of historical chat sessions, this extends the export window significantly and multiplies the number of API calls consumed during migration. We implement cursor-based resume logic that stores the last seen page cursor and restarts from that position on transient failures. Teams should allocate a dedicated migration window with minimal Octadesk write activity so that new Chats created during export do not require a second pass.

  • Freshdesk embedded-conversation view returns max 10 records per ticket

    Freshdesk's embedded conversation view (/tickets/[id]?include=conversations) returns up to ten conversations per ticket and consumes additional API credits. Tickets with more than ten conversation events will have the remaining events silently omitted if this endpoint is used. We avoid this by using the dedicated List All Conversations endpoint (/api/v2/tickets/[id]/conversations) for every migrated ticket, ensuring the complete conversation history is transferred regardless of thread length. This doubles the conversation API call count for long-thread tickets.

  • Automations, chatbot flows, and AI agents have no export path from Octadesk

    Octadesk does not expose a public API for retrieving automation rules, chatbot flow configurations, or AI agent setups. Any migration from Octadesk requires manual rebuild of these configurations in Freshdesk. We produce a detailed automation audit report during scoping that lists every rule, trigger, flow condition, and action with screenshots and configuration values so the customer's admin can reproduce them in Freshdesk's automation builder. This report is included in the migration scope; rebuild assistance is a separate engagement.

  • Ticket customField array must be flattened and type-normalised

    Octadesk stores ticket custom fields as an array of objects (customField) rather than flat properties, and field data types may be inconsistent — dates stored as strings, numeric values stored as unquoted strings. We parse the full array, look up each field definition to confirm its intended type, normalise values to match Freshdesk's expected format, and flag any mismatches for manual review before import. Skipping this step produces silent data truncation or import errors in Freshdesk's validation layer.

  • Freshdesk rate limits apply per minute with per-endpoint sub-limits

    Freshdesk enforces per-minute rate limits that vary by plan (Growth: 200/min, Pro: 400/min, Enterprise: 700/min) with sub-limits per endpoint (e.g. Tickets List capped at 20-200 calls/min depending on plan). We implement exponential backoff on 429 responses, chunk imports into batches sized to stay within per-endpoint sub-limits, and do not assume a single aggregate budget applies across all endpoints. Trial accounts default to 50 calls/min, which significantly extends migration time for large accounts.

Migration approach

Six steps for a successful Octadesk to Freshdesk data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Octadesk logo

Octadesk

Source

Strengths

  • Unified omnichannel inbox combining WhatsApp, Instagram, Facebook, email, and live chat in a single agent interface
  • Built-in chatbot builder with no-code flow designer for both sales and post-sales automation scenarios
  • AI agent features for automated ticket classification, response suggestions, and routing without third-party AI integrations
  • Part of the Locaweb ecosystem — native integrations with Brazilian marketing and hosting tools reduce toolchain complexity
  • Dashboard and performance reporting built in for team-level SLA tracking and agent productivity metrics

Weaknesses

  • API is poorly documented externally and lacks a public developer portal with comprehensive endpoint coverage and versioning
  • No public bulk export or bulk import API — migration tooling must work around pagination limits and per-request caps
  • Automation and AI agent configurations are not exportable, meaning custom flows must be rebuilt manually on any new platform
  • Platform is primarily designed for Brazilian market — English documentation and multi-language support lag behind global competitors
  • Limited marketplace of third-party integrations compared to Zendesk or Freshdesk, requiring custom development for non-native connections
Freshdesk logo

Freshdesk

Destination

Strengths

  • Generous free tier with no credit card required for 1-2 agents for 6 months.
  • Per-agent pricing model is transparent and scales linearly with team growth.
  • Freddy AI Copilot integrates assistance directly into the agent workspace without requiring separate tooling.
  • Multilingual help desk and customer portal serve global teams on Pro and Enterprise plans.
  • Shared inbox, threads, and tasks keep ticket context unified across multi-channel conversations.

Weaknesses

  • Freddy AI is a separate paid add-on charged per session, making AI costs unpredictable and hard to budget.
  • Performance issues including delayed loading and duplicate tickets are recurring user complaints during high-volume periods.
  • Customization is more limited than Zendesk, with fewer workflow options and reporting flexibility.
  • Add-ons for chat, advanced routing, and custom reporting are gated behind higher tiers or separate module purchases.
  • API access is completely disabled on the free plan, blocking any programmatic data export or migration tooling.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Octadesk and Freshdesk.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Octadesk: Not publicly documented.

  • Data volume sensitivity

    B

    Octadesk doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Octadesk to Freshdesk migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Octadesk to Freshdesk data migrations

Answers to the questions buyers ask most during Octadesk to Freshdesk migration scoping. Not seeing yours? Book a call.

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Small accounts under 2,000 tickets and 1,000 contacts with straightforward custom field schemas complete in two to three weeks. Accounts with high chat volumes (requiring sequential 100-item page traversal across thousands of sessions), complex custom field transforms, or multi-company account structures move to five to eight weeks. Most of the timeline variance comes from the /chat endpoint pagination on the export side and Freshdesk rate-limit-aware batch sizing on the import side, not from record volume alone.

Adjacent paths

Related migrations to explore

Ready when you are

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